Laure Berti-Équille

IRD (ESPACE DEV U228) / Aix-Marseille Université (LIS UMR CNRS 7020)

  Main Topics

  2019 News


  Research Focus

My research is focused on methods and systems that assist users in complex, necessary analytical tasks for data intelligence. These tasks require advanced data management, integration, fusion, cleaning, and knowledge discovery that scale to very large datasets. The final goal is to let the users focus exclusively on the logic of their application, without being aware of the underlying models or of the execution details. My work draws from techniques in several areas, including data management, data mining, and machine learning, and solves problems in relational, semi-structured and cross-modal data (from various physical as well as social sensors, images, texts, microblogs, etc.). My focus is on the following key aspects of Data Science:

  • Detection and automatic correction of anomalies and other data quality problems;
  • Data cleaning, integration, fusion, and preparation stack for data analysis;
  • Detection of information falsification and truth discovery;
  • Applied machine learning and data mining use cases: e.g., for urban computing, healthcare, environmental science;
  • Design of end-to-end analytical pipelines in Python and R.


Experience

  • Jan. 2011 – Present:                Research Director (DR2), Institut de Recherche pour le Développement (IRD, U228), France
  • Sept. 2017 – Aug. 2018:          Full Professor, Aix-Marseille University, Polytech'Marseille, LIS (UMR CNRS 7020), France
  • March 2014 – June 2017:       Senior Research Scientist, Qatar Computing Research Institute (QCRI), Qatar
  • Jan. 2010 – Dec. 2010:           Researcher (Marie Curie Fellowship), University of Rennes 1, France
  • Sept. 2007 – Dec. 2009:          Visiting Researcher (Marie Curie Fellowship), AT&T Labs–Research, NJ, USA
  • Sept. 2004 – Aug. 2006:          Researcher, CNRS (UMR 6074), IRISA Rennes, France
  • Sept. 2000 – Aug. 2010:          Associate Professor with tenure, University of Rennes 1, France
  • July 1999 – Sept. 2000:          Post-doc (A.T.E.R.), University of Avignon, France
  • March 1996 – July 1999:        Ph.D. candidate and teaching assistant, University of Toulon, France
  • Oct. 1995 – March 1996:        Part-time Software Engineer, AERO-SEMA Group, France
  • March 1995 – Sept. 1995:      Analyst (Internship), French Navy, DGA/ECN/CTSN, France

Publications

Partial lists can be found in:   [DBLP][ResearchGate][GoogleScholar][LinkedIn]

Books

  • Laure Berti-Équille, Javier Borge-Holthoefer, Veracity of Data: From Truth Discovery Computation Algorithms to Models of Misinformation Dynamics. Synthesis Lectures on Data Management, Morgan & Claypool Publishers, December 2015. [Publisher Site] [Flyer]
  • Laure Berti-Équille (Ed), La qualité et la gouvernance des données au service de la performance des entreprises (in French). Hermès-Lavoisier, September 2012. [Amazon] [Publisher Site]
  • Laure Berti-Équille, Quality Awareness for Managing and Mining Data, Habilitation à Diriger des Recherhes University of Rennes 1, France, 2007. [PDF] [slides]

Chapters

  • Laure Berti-Équille. Truth Discovery. In: Sakr S., Zomaya A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham, 2018. [Publisher Site]
  • Laure Berti-Équille, Monica Scannapieco. Quality of Web Data (Chapter). In the 2nd Edition of the book Data Quality: Concepts, Methodologies and Techniques, Springer, 2016. [Publisher Site]
  • Fouzia Moussouni, Laure Berti-Équille. Cleaning, Integrating, and Warehousing Genomic Data from Biomedical Resources (Chapter). In Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data. Wiley Book Series on Bioinformatics: Computational Techniques and Engineering, Wiley-Blackwell, John Wiley & Sons Ltd, USA. ISBN: 978-1-118-13273-9, September 2013. [PDF]
  • Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava, Data Fusion: Resolving Conflicts from Multiple Sources (Chapter). In Managing and Mining Uncertain Data. Springer, 2012. [PDF]
  • Melanie Herschel, Laure Berti-Équille, Application de mesures de distance pour la détection de problèmes de qualité de données, In La qualité et la gouvernance des données au service de la performance des entreprises, Hermès-Lavoisier, September 2012. [Amazon]
  • Laure Berti-Équille, Quality-Extended Query Processing for Mediation Systems (Chapter). In Information Quality Management: Theory and Practice, pp. 23-50, Springer, 2007. [PDF]
  • Laure Berti-Équille, Modelling and Measuring Data Quality for Quality-Awareness in Association Rule Mining (Chapter). In Quality Measures in Data Mining, pp. 101-126, Fabrice Guillet and Howard Hamilton (Eds.), Springer, 2007. [Publisher Site]

Edition of Proceedings and Editorial Papers

  • Laure Berti-Équille, Verikat N. Gudivada, Rihan Hai, Christoph Quix, Hongzhi Wang, (Eds) Proceedings of the International Quality in Databases workshop (QDB 2016) in conjunction with VLDB 2016, Delhi, India, September 2016. [RWTH Publication]
  • Ismael Caballero, Manuel Ángel Serrano, Laure Berti-Équille (Eds). Proceedings of the 21st International Conference on Information Quality, Ciudad Real (Spain), June 2016. [PDF]
  • Khalid Belhajjame, Domenico Beneventano, Laure Berti-Équille, James Cheney, Víctor Cuevas-Vicenttín, Tom De Nies, Helena Galhardas, Ashish Gehani, Boris Glavic, Paul T. Groth, Olaf Hartig, Scott Jensen, Andrea Maurino, Gianni Mecca, Renée J. Miller, Luc Moreau, Mourad Ouzzani, Jaehong Park (2015). Editorial. J. Data and Information Quality, 5(3): 8.
  • Laure Berti-Équille, Isabelle Comyn-Wattiau, Monica Scannapieco (Eds), Proceedings of the 17th International Conference on Information Quality (ICIQ 2012), Paris, 16-17 November 2012. [PDF]
  • Jérôme Azé, Nicolas Béchet, Laure Berti-Équille, Sylvie Guillaume, Mathieu Roche, Fatiha Saïs (Eds). Mesurer et évaluer la qualité des données et des connaissances, Proceedings of the 7th Workshop Data and Knowledge Quality (QDC Qualité des Données et des Connaissances) in conjunction with the French conference EGC 2011 (Extraction et Gestion des Connaissances - EGC), Éditions Hermann, RNTI-E-22, 2011. ISBN : 9782705682866 [PDF]
  • Jérôme Azé, Laure Berti-Équille, Sylvie Guillaume (Eds). Proceedings of the 6th Workshop QDC 2010 (Qualité des Données et des Connaissances) in conjunction with the French conference EGC 2010 (Extraction et Gestion des Connaissances - EGC), Hammamet, Tunisia, 26 Janvier 2010. [PDF]
  • Laure Berti-Équille, Melanie Herschel, Ahmed Elmagarmid (Eds). Proceedings of the 7th international workshop on Quality in Databases (QDB 2009) in conjunction with VLDB 2009, Lyon, France, 2009. [PDF]
  • Laure Berti-Équille, Fabrice Guillet (Eds). Proceedings of the 2nd Workshop on Data and Knowledge Quality (QDC 2006) in conjunction with the French conference EGC 2006, Villeneuve d’Ascq, France, January 17, 2006. [PDF]
  • Monica Scannapieco, Laure Berti-Équille. Report from the First and Second International Workshops on Information Quality in Information Systems - IQIS 2004 and IQIS 2005 in conjunction with ACM SIGMOD/PODS Conferences, ACM SIGMOD Record, 35(2):51-54, June 2006. [PDF]
  • Laure Berti-Équille, Carlo Batini, Divesh Srivastava (Eds). Proceedings of the 2nd ACM Workshop on Information Quality in Information Systems (IQIS 2005) in conjunction with ACM SIGMOD/PODS International Conference, Baltimore, MD, USA, June 17, 2005. [PDF]
  • Laure Berti-Équille, Fabrice Guillet (Eds). Proceedings of the 1st Workshop on Data and Knowledge Quality (DKQ 2005) Workshop in conjunction with the French National Conference on Extraction and Management of Knowledge (Extraction et Gestion des Connaissances - EGC 2005), Paris, France, January 18, 2005. [PDF]

Journal Publications

  • Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille. Remote Sensing Image Analysis by Aggregation of Segmentation-Classification Collaborative Agents. Pattern Recognition, 73: 259-274, 2018. [Publisher Site]
  • Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille. Interactions segmentation-classification dans un cadre multi-paradigme pour l'analyse d'images de télédétection. Revue d'Intelligence Artificielle 31(1-2): 133-152, 2017. [Publisher Site]
  • Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille. A collaborative framework for joint segmentation and classification of remote sensing images. Advances in Knowledge Discovery and Management, 2016. [PDF]
  • Laure Berti-Équille, Mouhamadou Lamine Ba. Veracity of Big Data: Challenges of Cross-modal Truth Discovery, ACM Journal of Data and Information Quality, July 2016. [PDF]
  • Andres Troya-Galvis, Pierre Gançarski, Nicolas Passat, Laure Berti-Équille, Unsupervised Quantification of Under and Over Segmentation for Object Based Remote Sensing Image Analysis, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8(4), JSTARS-2014-00825.R3, 2015. [PDF]
  • Lilia Berrahou, Nathalie Lalande, Eva Serrano, Guilhem Molla, Laure Berti-Équille, Sandro Bimonte, Sandra Bringay, Flavie Cernesson, Corinne Grac, Dino Ienco, Florence Le Ber and Maguelonne Teisseire. A quality-aware spatial datawarehouse for querying hydroecological data, Computers & Geosciences, 2015. [PDF]
  • Eva Carmina Serrano Balderas, Corinne Grac, Laure Berti-Équille, Ma. Aurora Armienta Hernandez. Potential application of biological indices based on macroinvertebrates on Mexican streams. Ecological Indicators Journal, 2015. [HAL]
  • Laure Berti-Équille, Ji Meng Loh, Tamraparni Dasu, A masking index for quantifying hidden glitches, Knowledge and Information Systems, Springer, July 2014, Online ISSN 0219-3116. [Publisher Site]
  • Amrapali Zaveri, Andrea Maurino, Laure Berti-Équille. Web Data Quality: Current State and New Challenges. Int. J. Semantic Web Inf. Syst., 10(2): 1-6, 2014. [Publisher Site]
  • Vincent Moron, Barbero Renaud, Morgan Mangeas, Laurent Borgniet, Thomas Curt, Laure Berti-Équille. Prediction of September-December fire in New Caledonia (SW Pacific) using July Nino 4 sea surface temperature index. Journal of Applied Meteorology and Climatology, 52 (3), pp. 623-633. ISSN 1558-8424, 2013. [Publisher Site] [PDF]
  • Alice Novello, Doris Barboni, Laure Berti-Équille, Jean-Charles Mazur, Pierre Poilecot, Patrick Vignaud. Phytolith Signal of Aquatic Plants and Soils in Chad, Central Africa. Review of Palaeobotany and Palynology, 178, pp. 43-58, 2012. [ResearchGate]
  • Laure Berti-Équille, Multi-Scale Data Integration Challenges in the Open Science Data Space. Special issue on Data Integration of the iT - Information Technology Journal, Vol. 54, No. 3, 05/2012. [Publisher Site]
  • Laure Berti-Équille, Isabelle Comyn-Wattiau, Mireille Cosquer, Zoubida Kedad, Sylvaine Nugier, Verónika Peralta, Samira Si-Saïd Cherfi, Virginie Thion-Goasdoué. Assessment and analysis of information quality: a multidimensional model and case studies. International Journal of Information Quality, vol. 2(4), pp. 300-323, 2011, (doi:10.1504/IJIQ.2011.043780). [PDF]
  • Laure Berti-Équille. Data Quality Awareness: a Case Study for Cost Optimal Association Rule Mining. Knowledge and Information Systems, 11(2):191-215, 2007.[PDF]
  • Toufik Ahmed, Ahamed Asgari, Ahmed Mehaoua, Eugene Borcoci, Laure Berti-Équille, Georgious Kormentzas. End-to-End Quality of Service Provisioning Through an Integrated Management System for Multimedia Content Delivery. Special Issue of Computer Communications on Emerging Middleware for Next Generation Networks, 30(3), 638-651, 2007. [PDF]
  • Laure Berti-Équille. Contributions to Quality-Aware Online Query Processing, IEEE Data Eng. Bull. 29(2):32-42, 2006. [PS]
  • L. Berti-Équille. Qualité des données, Techniques de l’Ingénieur H3700, pp. 1-19, collection Technologies logicielles – Architecture des systèmes, 2006. [PDF]

Conference and Workshop Publications

2019
  • Laure Berti-Équille. Learn2Clean: Optimizing the Sequence of Tasks for Web Data Preparation. Proceedings of the Web Conference 2019, San Francisco, May 2019.
2018
  • Laure Berti-Équille, Hazar Harmouch, Felix Naumann, Noël Novelli, Saravanan Thirumuruganathan. Discovery of Genuine Functional Dependencies from Relational Data with Missing Values. Proceedings of the VLDB Endowment (PVLDB), Volume 11, No. 8, April 2018. [PDF]
  • Laure Berti-Équille, Angela Bonifati, Tova Milo. Machine Learning to Data Management: A Round Trip. Tutorial at the International Conference on Data Engineering (ICDE 2018), Paris, April 2018. [Publisher Site], [slides]
2017
  • Saravanan Thirumuruganathan, Laure Berti-Équille, Mourad Ouzzani, Jorge-Arnulfo Quiane-Ruiz and Nan Tang, UGuide – User-Guided Discovery of FD-Detectable Errors. Proceedings of the 2017 ACM SIGMOD/PODS Conference, Chicago, May 2017. [PDF]
  • Eva C. Serrano Balderas, Laure Berti-Équille, Ma. Aurora Armienta Hernandez, and Corinne Grac, Principled Data Preprocessing: Application to Biological Aquatic Indicators of Water Pollution. Proceedings of the DEXA-BIOKDD'17 workshop, Lyon, France, August 2017. [PDF]
  • Eva C. Serrano Balderas, Ma. Aurora Armienta Hernandez, Laure Berti-Équille, Corinne Grac and Jean-Christophe Desconnets, Evaluation of Heavy Metals, Pesticides and Emergent pollutants content in the Tula river Mexico. Proceedings of the the 10th European Symposium for Freshwater Sciences (SEFS10), Olomouc, Czech Republic, July 2017. [ResearchGate]
  • Tahar Zanouda, Sofiane Abbar, Laure Berti-Équille, Kushal Shah, Abdelkader Baggag, Sanjay Chawla, Jaideep Srivastava. On the Role of Political Affiliation in Human Perception: The Case of Delhi OddEven Experiment. Proceedings of Social Informatics 2017, Oxford UK, September 2017. [PDF]
  • Laure Berti-Équille, Yury Zhauniarovich. Profiling DRDoS Attacks with Data Analytics Pipeline. Proceedings of the 26th ACM International on Conference on Information and Knowledge Management (CIKM 2017), Singapore, November 2017. [PDF]
2016
  • Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Laure Berti-Équille and Younès Bennani. On the Use of Ontology as a priori Knowledge into Constrained Clustering, Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA’2016), Montreal, Canada, October 2016. [HAL]
  • Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille. Collaborative segmentation and classification for remote sensing image analysis. Proceedings of the International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, December 2016. [Publisher Site]
  • Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Laure Berti-Équille and Younès Bennani. Towards Ontology Reasoning for Topological Cluster Labeling, Proceedings of the 23rd International Conference on Neural Information Processing (ICONIP 2016), Kyoto, Japan, October 2016. [HAL][PDF]
  • Sofiane Abbar, Tahar Zanouda, Laure Berti-Équille, Javier Borge-Holthoefer. Using Twitter to Understand Public Interest in Climate Change: The case of Qatar. Proceedings of the 1st International Workshop on the Social Web for Environmental and Ecological Monitoring (SWEEM 2016) Workshop, Koln, Germany, May 2016. [arXiv]
  • Raghvendra Mall, Laure Berti-Équille, Halima Bensmail. Metabolomic Data Profiling to Diabetes Research in Qatar. Proceedings of the 7th International Workshop on Biological Knowledge Discovery and Data Mining (BIOKDD'16) in conjunction with the 27th International Conference on Database and Expert Systems Applications (DEXA’16), June 2016. [Publisher Site]
  • Eva Carmina Serrano Balderas, Laure Berti-Équille, Ma. Aurora Armienta Hernandez, Jean- Christophe Desconnets. Water Quality Data Analytics. Proceedings of the 8th International Congress on Environmental Modelling and Software, International Environmental Modelling and Software Society (iEMSs), Toulouse, France, 2016. [PDF]
  • Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Laure Berti-Équille, Younès Bennani. Génération de contraintes pour le clustering à partir d'une ontologie - Application à la classification d'images satellites. Proceedings of EGC 2016, Reims, France, pp. 81-92, January2016.
  • Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille. Un cadre collaboratif pour la segmentation et la classification d'images de télédétection. Proceedings of EGC 2016, Reims, France, pp. 297-308, January 2016.
2015
  • Laure Berti-Équille. Data veracity estimation with ensembling truth discovery methods. Proceedings of IEEE Big Data Conference 2015, pp. 2628-2636, 2015. [Publisher Site]
  • Ismael Caballero, Laure Berti-Équille, Mario Piattini. Towards Principled Data Science Assessment - The Personal Data Science Process (PdsP). Proceedings of International Conference on Enterprise Information Systems, ICEIS, (1):374-378, 2015. [Publisher Site]
2014
  • Dalia Attia Waguih, Laure Berti-Équille, Truth Discovery Algorithms: An Experimental Evaluation. CoRR abs/1409.6428 (2014). [arXiv.org]
2013
  • Laure Berti-Équille, Ji Meng Loh, Tamraparni Dasu, A masking index for quantifying hidden glitches, Proceedings of ICDM 2013, Dallas, TX, USA, December 2013. [PDF]
  • Mohamed Yakout, Laure Berti-Équille and Ahmed Elmagarmid, "Don't be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes", Proceedings of the 2013 ACM SIGMOD/PODS, New York, June 2013. [PDF]
  • Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava. Data fusion: Resolving conflicts from mutiple sources. Proceedings of the 14th nternational Conference on Web-Age Information Management (WAIM), 2013. [PDF]
2011
  • César Guerra-García, Ismael Caballero, Laure Berti-Équille, Mario Piattini. DAQ_UWE : A Framework doe Designing Data Quality Aware Web Applications. Proc. of the 16th International Conference on Information Quality (ICIQ), Adelaide, Australia, November 2011. (Best Paper Award). [Publisher Site]
  • Laure Berti-Équille, Tamraparni Dasu, Divesh Srivastava : Discovery of complex glitch patterns : A novel approach to Quantitative Data Cleaning. Proceedings of the International Conference on Data Engineering, (ICDE 2011), pp. 733-744, Hannover, Germany, Avril 2011. [Publisher Site]
2010
  • Minji Wu, Laure Berti-Équille, Amélie Marian, Cecilia M. Procopiuc, Divesh Srivastava. Processing Top-k Join Queries. Proceedings of VLDB (VLDB 2010) , Singapore, September 2010. [PDF]
  • Xin Luna Dong, Laure Berti-Équille, Yifan Hu, Divesh Srivastava. SOLOMON: Seeking the Truth Via Copying Detection (Demo). Proceedings of VLDB (VLDB 2010), Singapore, September 2010. [PDF]
  • Xin Luna Dong, Laure Berti-Équille, Yifan Hu, Divesh Srivastava. Global Detection of Complex Copying Relationships Between Sources. Proceedings of the VLDB Endowment (VLDB 2010), Singapore, September 2010. [PDF]
  • Bernd Amann, Laure Berti-Équille, Zoé Lacroix, Maria-Esther Vidal. Challenges of Quality-Driven Resource Discovery. Resource Discovery - Third International Workshop, RED 2010, Paris, France, November 5, 2010, pp.181-189. Lecture Notes in Computer Science 6799 Springer 2012, ISBN 978-3-642-27391-9 [PDF]
2009
  • L. Berti-Équille, T. Dasu. New Directions for Data Quality Mining. Tutorial presented at the International Conference on Knowledge Discovery and Data Mining (KDD), Paris, France, 28 June 2009. [Slides]
  • L. Berti-Équille, T. Dasu. Data Quality Mining: New Directions. Tutorial presented at the 2009 IEEE International Conference on Data Mining (ICDM), Miami, Florida, USA, 7 December 2009. [Slides]
  • L. Berti-Équille, A. Das Sarma, X. L. Dong, A. Marian, and D. Srivastava. Sailing the information ocean with awareness of currents: discovery and application of source dependence. Proceedings of the Biennial Conference on Innovative Data Systems Research (CIDR), January 2009. [Publisher Site]
  • X. L. Dong, L. Berti-Équille, and D. Srivastava. Integrating conflicting data: the role of source dependence. Proceedings of the International Conference on Very Large Databases (VLDB 2009), Lyon, France, August 2009. [PDF]
  • X. L. Dong, Laure Berti-Équille, and D. Srivastava. Truth discovery and copying detection in a dynamic world. Proceedings of the International Conference on Very Large Databases (VLDB 2009), Lyon, France, August 2009. [PDF]
  • V. Peralta, V. Thion-Goasdoué, Z. Kedad, L. Berti-Équille, , I. Comyn-Wattiau, S. Nugier, S. Sisaïd-Cherfi, Multidimensional Management and Analysis of Quality Measures for CRM Applications at EDF, Proceedings of the 14th International Conference on Information Quality (ICIQ’09), Hasso Plattner Institute, University of Potsdam, Germany, November 2009.
2008
  • L. Berti-Équille. Tracing Data Pollution in Large Business Applications. Proceedings of the 13th International Conference on Information Quality (ICIQ’08), Massachusetts Institute of Technology, Cambridge, U.S.A., November 2008.
  • L. Berti-Équille. Measuring and Constraining Data Quality with Analytic Workflows. Proceedings of the 6th International Workshop on Quality in Databases (QDB'09) in conjunction with the International Conference on Very Large Databases (VLDB 2008), Auckland, New Zealand, August 2008.
  • J. Akoka, L. Berti-Équille, O. Boucelma, M. Bouzeghoub, I. Comyn-Wattiau, M. Cosquer, V. Goasdoué, Z. Kedad, S. Nugier V. Peralta, M. Quafafou, S. Sisaïd-Cherfi. Évaluation de la qualité des systèmes multisources. Une approche par les patterns. Proceedings of the 2nd Workshop on Data and Knowledge Quality (QDC 2008) in conjunction with the French National Conf. on Extraction and Management of Knowledge (Extraction et Gestion des Connaissances - EGC), Nice, France, January 29, 2008.
2007
  • F. Moussouni, L. Berti-Équille, G. Rozé, O. Loréal and E. Guérin. Q-DEX : A Database Profiler for Generic Bio-Data Exploration and Quality Aware Integration, Proceedings of the Intl. Workshop on Approaches and Architectures for Web Data Integration and Mining in Life Sciences (WebDIM4LS) in conjunction with the 8th Intl. Conference on Web Information Systems Engineering (WISE2007), Nancy, France, December 2007. [PDF]
  • J. Akoka, L. Berti-Équille, O. Boucelma, M. Bouzeghoub, I. Comyn-Wattiau, M. Cosquer, V. Goasdoué, Z. Kedad, S. Nugier V. Peralta, S. Si-Said-Cherfi, A Framework for Quality Evaluation in Data Integration Systems, Proceedings of the 9th International Conference on Enterprise Information Systems (ICEIS 2007), Madeira, Portugal, June 2007. [PDF]
2006
  • J.-A. Benvenuti, L. Berti-Équille, E. Jacopin. Lessons Learned from Ontology Design. Proceedings of the 9th Intl. Protégé Conference, pp. 101-104, Stanford, CA, USA, July 23-26, 2006. [PDF]
  • L. Berti-Équille, F. Guillet (Eds). Proceedings of the 2nd Workshop on Data and Knowledge Quality (QDC 2006) in conjunction with the French National Conf. on Extraction and Management of Knowledge (Extraction et Gestion des Connaissances - EGC), Villeneuve d’Ascq, France, January 17, 2006. [PDF]
  • M. Scannapieco, L. Berti-Équille, F. Naumann, C. Batini, D. Srivastava. Report from the First and Second International Workshops on Information Quality in Information Systems - IQIS 2004 and IQIS 2005 in conjunction with ACM SIGMOD/PODS Conferences, ACM SIGMOD Record, 35(2):51-54, June 2006.
  • L. Berti-Équille. Quality-Aware Association Rule Mining. Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006), LNCS 3918, pp. 440-449, Singapore, April 9-12, 2006.
  • L. Berti-Équille, Modèle décisionnel basé sur la qualité des données pour sélectionner les règles d’associations légitimement intéressantes. Actes de la Conférence Extraction et Gestion des Connaissances, (EGC 2006), Cépaduès, pp. 593-598, Villeneuve d’Ascq, France, January 17, 2006.
2005
  • L. Berti-Équille, C. Batini, D. Srivastava (Eds). Proceedings of the 2nd ACM Workshop on Information Quality in Information Systems (IQIS 2005) in conjunction with ACM SIGMOD/PODS International Conference, Baltimore, MD, USA, June 17, 2005. [PDF]
  • L. Berti-Équille, F. Guillet (Eds). Proceedings of the 1st Workshop on Data and Knowledge Quality (DKQ 2005) Workshop in conjunction with the French National Conference on Extraction and Management of Knowledge (Extraction et Gestion des Connaissances - EGC 2005), Paris, France, January 18, 2005. [PDF]
  • W. Jouve, B. Rousseau, L. Berti-Équille, Enriching Multimedia Content Description for Broadcast Environments: From A Unified Metadata Model to A New Generation of Authoring Tool. Proceedings of IEEE International Symposium on Multimedia (ISM 2005), pp. 87-94, IEEE Computer Society, Irvine, California, U.S.A., December 2005.
  • L. Berti-Équille, F. Moussouni. Quality-Aware Integration and Warehousing of Genomic Data. Proceedings of the 10th Intl. Conference on Information Quality (ICIQ'05), pp. 442-454, Massachusetts Institute of Technology, Cambridge, MA, U.S.A., November 2005. [PDF]
  • L. Berti-Équille, Assurer la qualité des données: un défi permanent pour les systèmes d'information, bases et entrepôts de données, Genie Logiciel, 74, pp. 13-20, Septembre, 2005.
  • L. Berti-Équille. Cost of Low-Quality Data over Association Rules Discovery. Proceedings of International Symposium on Applied Stochastic Models and Data Analysis (AMSDA 2005), Brest, France, May 2005.
  • J.-A. Benvenuti, L. Berti-Équille, E. Jacopin. When Protégé and Rules becomes Parsing for Learning. Proceedings of the First International Workshop Protégé with Rules in conjunction with the 8th Intl. Protégé Conference, Madrid, Spain, July 2005. [PDF]
  • E. Guérin, G. Marquet, A. Burgun, O. Loréal, L. Berti-Équille, U. Leser, F. Moussouni. Integrating and Warehousing Liver Gene Expression Data and Related Biomedical Resources in GEDAW. Proceedings of the Second International Workshop on Data Integration in the Life Sciences (DILS 2005), pp. 158-174, San Diego, CA, U.S.A., July 2005. [PDF]
  • A. Kouomou-Choupo, L. Berti-Équille, A. Morin. Optimizing Progressive Query-By-Example over Pre-Clustered Large Image Databases. Proceedings of the 2nd ACM SIGMOD International Workshop on Computer Vision meets DataBases (CVDB'05) in conjunction with ACM SIGMOD/PODS Conference, pp. 13-20, Baltimore, MD, USA, June 2005. Also published Actes des Journées Bases de Données Avancées (BDA 2005), Saint-Malo, France, pp. 215-226. [PDF]
  • L. Berti-Équille. Recommendation of XML Documents Exploiting Quality Metadata and Views. Proceedings of the 2nd International Workshop on Data and Information Quality (DIQ 2005) in conjunction with the 17th Conference on Advanced Information Systems Engineering (CAiSE'05), Porto, Portugal, June 2005.
  • L. Berti-Équille. Nettoyage des données XML: combien ça coûte ?, Actes du 1er Atelier Qualités des Données et des Connaissances (QDC 2005) en conjonction avec la conférence Extraction et Gestion des Connaissances (EGC 2005), Paris, France, pp. 11-18, Paris, Janvier 2005.
2004
  • A. Kouomou-Choupo, L. Berti-Équille. Visual Feature Mining for Adapting Query-by-Example over Large Image Databases. Proceedings of International Workshop on Multidisciplinary, Video, and Audio Retrieval and Mining, Sherbrooke-Canada, October 2004.
  • L. Berti-Équille. Quality-Adaptive Query Processing over Distributed Sources. Proceedings of the 9th International Conference on Information Quality (ICIQ’04), pp. 285-296, Massachusetts Institute of Technology, Cambridge, MA, U.S.A., November 2004.
  • A. Kouomou-Choupo, L. Berti-Équille, A. Morin. Multimedia Indexing and Retrieval with Features Association Rules Mining. Proceedings of the IEEE International Conference on Multimedia and Expo (ICME'2004), pp. 1299-1302, Taipei, Taiwan, June 2004.
  • L. Berti-Équille, A. Kouomou-Choupo, A. Morin. Feature Mining for Multimedia Indexing and Retrieval (Poster). Proceedings of the 5th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2004), Lisbon, Portugal, April 2004.
  • A. Morin, A. Kouomou-Choupo, L. Berti-Équille. Research in Image Databases: How Statistical Data Analysis Methods can enrich the Association Rules (Poster). Proceedings of the 16th Symposium of International Association for Statistical Computing (COMPSTAT'2004), Prague, Czech Republic, 2004.
  • L. Berti-Équille. Un état de l'art sur la qualité des données. Revue des Sciences et Technologies de l’information (RSTI), Numéro Spécial Qualité des Systèmes d'Information, Hermès, 9(5-6) :117-143, 2004.
  • A. Kouomou-Choupo, A. Morin, L. Berti-Équille. Recherche dans de grandes bases d'images fixes : une nouvelle approche guidée par les règles d'association. Revue Nationale des Technologies de l'Information RNTI-E-2 (Actes de conférence nationale Extraction et Gestion des Connaissances, EGC 2004), Cépaduès, pp. 65-70, 2004.
  • J-A. Benvenuti, L. Berti-Équille, É. Jacopin, Le projet SABRE : de l'ontologie а l'inférence, (Poster), Actes des 15èmes Journées francophones d'Ingénierie des Connaissances (IC’04), Lyon, France, May 2004. [PDF]
  • L. Berti-Équille. La qualité des données comme condition а la qualité des connaissances : un état de l'art. Mesures de qualité pour la fouille de données. Numéro spécial, Revue Nationale des Technologies de l'Information (RNTI-E), Cépaduès, 2004.
  • A. Kouomou-Choupo, A. Morin, L. Berti-Équille. Recherche par le contenu dans une base d’images fixes : l’intérêt des règles d’association, Actes de l’atelier Fouille de données complexes dans un processus d’extraction de connaissances (FDC 2004) en conjonction avec la conférence nationale Extraction et Gestion des Connaissances EGC 2004, pp. 73-82, Clermont Ferrand, France, 2004.
2003
  • L. Berti-Équille. Quality-Based Recommendation of XML Documents. Journal of Digital Information Management, 1(3):117-128, September 2003.
  • L. Berti-Équille. Quality-Extended Query Processing for Distributed Sources. Proceedings of the International Workshop on Data Quality in Cooperative Information Systems (DQCIS 2003) in conjunction with the 9th International Conference on Database Theory (ICDT 2003), pp. 55-63, Siena, Italy, January 2003.
  • J.-A. Benvenuti, L. Berti-Équille, É. Jacopin. Ontological Parsing of XML Documents: A Use Case in the Domain of Training French Military Staff. Proceedings of the 21st World Conference on Open Learning and Distance Education, Hong-Kong, February 2003.
  • L. Berti-Équille. Renseigner la qualité des connaissances par la fusion d'indicateurs sur la qualité des données. Revue des Sciences et Technologies de l’information RSTI-RIA-ECA (Actes de la conférence nationale Extraction et Gestion des Connaissances, EGC 2003), Cépaduès, 17(1-2-3), 2003.
2002
  • L. Berti-Équille. Annotation et recommandation collaboratives de documents selon leur qualité (in French). Revue Ingénierie des Systèmes d'Information (ISI-NIS), Numéro Spécial Recherche et Filtrage d'Information, Hermès, 7(1-2/2002):125-156, 2002.
2001
  • L. Berti-Équille. Integration of Biological Data and Quality-driven Source Negotiation. Proceedings of the Intl. Conference on Conceptual Modeling (ER'2001), LNCS, Volume 2224, pp. 256-269, Yokohama, Japan, November 2001.
  • L. Berti-Équille, A. Arcade. Integration of Biological Data on Transcriptome. Revue Ingénierie des Systèmes d'Information (ISI-NIS), Numéro Spécial Interopérabilité et Intégration des Systèmes d'Information, Hermès, 6(3/2001):61-86, 2001.
  • L. Berti-Équille, D. Graveleau, Documents, données et méta-données : une approche mixte pour un système de veille, Actes du colloque Veille Stratégique, Scientifique et Technologique (VSST01), Barcelona, Spain, pp. 115-126, 2001.
  • E. Guérin, F. Moussouni, L. Berti-Équille, Intégration des données sur le transcriptome, Actes de la journée de travail bi-thématique du GDR-PRC I3, pp. 219-228, Lyon, France.
≤ 2000
  • L. Berti-Équille. Quality and Recommendation of Multi-source Data for Assisting Technological Intelligence Applications. Proceedings of the Intl. Conference on Database and Expert Systems Applications (DEXA'99), LNCS, Volume 1677, pp. 282-291, Florence, Italy, September 1999.
  • L. Berti-Équille. Qualité des données multi-sources et recommandation multi-critère, Actes du Congrès francophone INFormatique des ORganisations et Systèmes d’Information Décisionnels (INFORSID'99), Toulon, France, pp. 185-204, 1999.
  • L. Berti-Équille. Qualité des données et leur recommandation : modèle conceptuel, formalisation et application а la veille technologique, Thèse, Université de Toulon et du Var, 1999.
  • L. Berti-Équille. From Data Source Quality to Information Quality: the relative dimension. Proceedings of the 3rd Conference on Information Quality (ICIQ'98), pp. 247-264, Massachusetts Institute of Technology, Cambridge, MA, U.S.A., October 1998.
  • L. Berti-Équille, J.-L. Damoiseaux, E. Murisasco. Combining the Power of Query Languages and Search Engines for On-line Document and Information Retrieval: the QIRi@D Environment. Proceedings of the Intl. Workshop on Principles of Digital Document Processing (PODDP'98), LNCS, Volume 1481, pp. 116-127, St-Malo, France, Mars 1998.
  • L. Berti-Équille. Out of Overinformation by Information Filtering and Information Weighting. Proceedings of the 2nd Conference on Information Quality (ICIQ'97), pp. 187-193, Massachusetts Institute of Technology, Cambridge, MA, U.S.A, October 1997.
  • L. Berti-Équille. Designing and Filtering On-Line Information Quality: New Perspectives for Information Service Providers, Proceedings of the 4th International Conference on Ethical Issues of Information Technology (ETHICOMP98), Utrecht, The Netherlands, pp. 79-88, 1998.
  • L. Berti-Équille, D. Graveleau. Contribution а la définition d’un vigiciel : quelle modélisation de l’information factuelle, événementielle et référentielle ? Actes du colloque français Veille Stratégique Scientifique et Technologique (VSST’98), Ile Rousse, France, pp. 227-240, 1998.
  • L. Berti-Équille. Merging an Active Database and a Reflective System: Modeling a New Several Architecture, (Poster), Proceedings of the 15th British National Conference on Databases (BNCOD’97), London, U.K., pp. 119-120, 1997.

Demos and Posters

  • Divy Agrawal, Lamine Ba, Laure Berti-Équille, Sanjay Chawla, Ahmed Elmagarmid, Hossam Hammady, Yasser Idris, Zoi Kaoudi, Zuhair Khayyat, Sebastian Kruse, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Mohammed J Zaki. Rheem: Enabling Multi-Platform Task Execution (Demo). Proceedings of the ACM SIGMOD Conference, 2016. [PDF]
  • Mouhamadou Lamine Ba, Laure Berti-Équille, Kushal Shah, Hossam M. Hammady. VERA: A Platform for Veracity Estimation over Web Data (demo). Proceedings of the 25th World Wide Web Conference (WWW 2016), Montréal, Canada, 2016. [PDF]
  • Dalia Attia Waguih, Naman Goel, Hossam M. Hammady, Laure Berti-Équille. AllegatorTrack: Visualizing and Explaining Truth Discovery Results from Multisource Data (Demo). Proceedings of ICDE 2015, Seoul, Korea, April 2015. [PDF]
  • Noel Novelli, Laure Berti-Équille, Christophe Hurter. ADVISU: Interactive Visualization of Anomalies and Dependencies from Massive Scientific Datasets (Demo). Proceedings of the National Conference on Extraction and Management of Knowledge (EGC-Extraction et Gestion des Connaissances), Bordeaux, France, January 2012. [PDF]
  • Xin Luna Dong, Laure Berti-Équille, Yifan Hu, Divesh Srivastava. SOLOMON: Seeking the Truth Via Copying Detection (Demo). Proceedings of VLDB 2010, Singapore, September 2010. [PDF]
  • Jean-André Benvenuti, Laure Berti-Équille, Eric Jacopin. Le projet SABRE : de l'ontologie а l'inférence (Poster), Actes des 15èmes Journées francophones d'Ingénierie des Connaissances (IC’04), Lyon, France, May 2004.
  • Laure Berti-Équille. Merging an Active Database and a Reflective System: Modeling a New Several Architecture (Poster), Proceedings of the 15th British National Conference on Databases (BNCOD’97), London, U.K., pp. 119-120, 1997. [PDF]

Grants, Patents, Fellowships and Awards

Grants and Responsabilities

  • Feb. 2019 – Jan. 2023: French Research Grant funded by ANR (French National Agency for Research) for the project QualiHealth: COllaboration, Classification, Incrémentalité et COnnaisssances” ” (PI: LIRIS Lab, 7 partners), Funding received by AMU : 175 435 €.
  • Oct. 2012 – Aug. 2016: French Research Grant funded by ANR (French National Agency for Research) Numerical Modeling Call 2012 for the project “COCLICO: COllaboration, Classification, Incrémentalité et COnnaisssances” ” (PI: ICUBE Lab, 6 partners), Funding received by my lab ESPACE DEV: 250 432 €.
  • June. 2012 – Dec. 2012: French Research Grant funded by CNRS, MASTODONS 2012 Call for the project “AMADEUS: Analysis of MAssive Data in Earth and Universe Sciences” (PI: LABRI Lab, 5 partners), My role: Task Leader, Global project funding received by the PI’s lab: 70 000 €.
  • Nov. 2011 – Aug. 2013: French Research Grant funded by ANR (French National Agency for research) Numerical Modeling 2012 Call, “FRESQUEAU: Data mining for assessing and monitoring the hydrobiologic quality of running waters” (PI: ENGEES Lab, 5 partners), My role: Task Leader, Global project funding: 183 550 €.
  • Sept. 2007 – Dec. 2010: European Marie Curie Outgoing International Fellowship (FP6-MOIF-CT-2006-041000), “Quality-introspective Data Management System”, 24+12 months (+ 4 months maternity leave), My role: PI, Funding received by my lab IRISA-Univ. Rennes 1: 201 583 €.
  • Dec. 2003- Dec. 2005: European Integrated Project ENTHRONE (FP6-2002-IST-2.3.1.8) “End-to-End QoS through Integrated Management of Content, Networks and Terminals”, Phase 1, (PI: Thales Broadcast & Multimedia, 32 partners), My role: Task Leader, Funding received by my lab, IRISA-INRIA: 145 605 €.
  • Jan. 2002 – Aug. 2007: French Collaborative Research Grant with the Military Schools of Coëtquidan, France, “Intelligent Parsing, Indexing and Querying Deductive XML for Pedagogical Materials of the French Military Staff Training”, My role: PI and PhD Advisor, Funding received by my lab IRISA-Univ. Rennes 1: 35 300 €
  • Dec. 2003 – Dec. 2008: French Research Grant funded by ANR (French Agency of Research), “QUADRIS: Quality of Multi-source Data and Information Systems” (PI: INRIA, 5 partners), My role: PI, Funding received by my lab IRISA: 110 000 €.

Patents

  • Detecting dependence between sources, United States Patent 8190546, issued 5/29/2012 and co-invented with X. L. Dong and D.
  • Scalable Automatic Repair for minimal change and maximal likelihood, European Patent 12724324.4 issued on May 25, 2012 co-invented with Mohamed Yakout and Ahmed K. Elmagarmid.
  • Scalable Automatic Repair for minimal change and maximal likelihood, United States Patent: 9619494 - 13/115.253 issued on April 11, 2017, co-invented with Mohamed Yakout and Ahmed K. Elmagarmid.

Awards

  • IEEE Senior Member Grade Promotion, Dec. 2018
  • Recipient of William Mong Visiting Research Fellowship, Hong-Kong University, Dec. 2018
  • Recipient of Prix de la Ville de Marseille, Accueil de chercheur, 2018
  • Recipient of ICIQ 2011 Best Paper Award for the paper entitled “DAQ_UWE: A Framework doe Designing Data Quality Aware Web Applications” with C. Guerra-García, I. Caballero, Laure Berti-Équille, M. Piattini. In Proceedings of the 16th International Conference on Information Quality (ICIQ 2011), Adelaide, Australia, November 2011.
  • Recipient of Marie Curie Outgoing International Fellowship 2006 (FP6-MOIF-CT-2006-041000), 3 years funding (2007-2010) from the European Commission (selection rate: 18.8% of 445 submissions).
  • Best Junior Researcher paper INFORSID (French Conference on Information Systems) for the paper entitled “Qualité de données multi-sources et recommandation multi-critère”, INFORSID, 1999.

Talks

Tutorials and Invited Lectures

  • Laure Berti-Équille. Machine Learning-Based Data Cleaning: Current Solutions and Challenges. Keynote at 21ème Edition du Colloque International sur le Document Numérique CiDE.21, Djerba, April 2019. [slides]
  • Laure Berti-Équille, Angela Bonifati, Tova Milo. Machine Learning to Data Management: A Round Trip. Tutorial accepted at the International Conference on Data Engineering (ICDE 2018), Paris, April 2018. [slides]
  • Laure Berti-Équille, Javier Borge-Holthoefer. Scaling Up Truth Discovery. Tutorial at the International Conference on Data Engineering (ICDE 2016), Helsinki, May 2016. [Abstract] [Slides]
  • Laure Berti-Équille, Javier Borge-Holthoefer. Veracity of Big Data: From Truth Discovery Computation Algorithms to Models of Misinformation Dynamics. Tutorial at the 24th ACM International on Conference on Information and Knowledge Management (CIKM 2015), Melbourne, October 2015. [Slides]
  • Laure Berti-Équille, Tamraparni Dasu. New Directions for Data Quality Mining. Tutorial at the International Conference on Knowledge Discovery and Data Mining (KDD), Paris, France, June 2009. [Slides]
  • Laure Berti-Équille, Tamraparni Dasu. Data Quality Mining: New Directions. Tutorial at the 2009 IEEE International Conference on Data Mining (ICDM), Miami, Florida, USA, December 2009. [Slides]
  • Laure Berti-Équille. Analytics and Probabilistic Approaches for Data Quality, Tutorial presented at the Summer School Big Data CNRS 2014, Oléron, June 2014.
  • Laure Berti-Équille. Data Quality for Big Data Analysis, Key Note presented at the Summer School Big Data Analysis in Earth Sciences EarthBiAS 2014, University of Aegean, Rhodes, Greece, July 2014.
  • Laure Berti-Équille. Truth Discovery Methods, Key Note presented at the Summer School Big Data Analysis in Earth Sciences EarthBiAS 2014, University of Aegean, Rhodes, Greece, July 2014.
  • Laure Berti-Équille. Evaluation of Data and Knowledge Quality in Data Mining. Tutorial presented at the éEGC Winter School on Statistical Machine Learning and Data Mining, Hammamet, Tunisia, February 2010.
  • Laure Berti-Équille. "Evaluation of the quality of data and knowledge in data mining", éEGC Winter School on Statistical Machine Learning and Data Mining, Hammamet, Tunisia, February 3, 2010.

Invited Seminars and Key Notes

  • Invitation by Univ. Roma di Tre for lectures and seminars, Roma, Italy, March 2017.
  • Key Note entitled "Search for the Optimal Data Preprocessing Strategy", presented at the Workshop on Label Noise Problems in Statistics, Machine Learning and Classification, Nancy, France, Nov. 30 – Dec. 1, 2017.
  • Key Note entitled "Principled Data Preprocessing: Application to Biological Aquatic Indicators of Water Pollution", presented at IN-OVIVE Workshop on Sources and Data Integration in Agriculture, Food and Environment Using Ontologies, Paris, France, Nov. 24, 2017.
  • Invitation by CS Carnegie Mellon University–Qatar for a talk entitled: "Introduction to Data Forensics", November 2016.
  • Invitation by Indiana Center for Database Systems (ICDS) at Purdue University (Lafayette, IN, USA) for a talk entitled: "Data Quality Mining: New Directions", December 3, 2009.
  • Invitation by the database research group of the New Jersey Institute of Technology (NJIT, Newark, NJ, USA) for a talk entitled: "Exploring and Managing Data Quality", November 23, 2009.
  • Invitation by the database research group of the University of Pennsylvania (UPenn, Philadelphia, PA, USA) for a talk entitled: "Exploring and Managing Data Quality", November 2, 2009.
  • Invitation by the database research group of Berkeley University (Berkeley, CA, USA) for a talk entitled: "Exploring and Managing Data Quality", January 23, 2009.
  • Invitation by Lawrence Livermore National Laboratory (LLNL), Livermore, CA, USA for a talk entitled: "Beyond Data Preparation: New Perspectives for Managing and Mining Data Quality", January 22, 2009.
  • Invitation to the panel of the International Conference on Information Quality (ICIQ’08) au Massachusetts Institute of Technology (M.I.T., Boston, MA, USA), November 16, 2008.
  • Invitation by the Center of Computational Learning Systems (CCLS) of Columbia University (New York, NY, USA) for a talk entitled: "Managing and Exploring Data Quality", October 22, 2008.
  • Invitation (two weeks in July 2006) by IStat, the Italian Institute of Statistics and the University La Sapienza (Roma, Italy) for a joint research exchange programme funded by C.N.R.S. and C.N.R., the French and Italian Research institutes respectively.
  • Invitation (one week in October 2005) by Divesh Srivastava at AT&T Labs Research (Florham Park, NJ, USA) for a talk entitled "Quality-Aware Data Management, Querying and Mining".
  • Invitation (one week in October 2005) by UNESCO, in Baku (Azerbaijan) for giving a training session at the Baku Scientific Training Centre and an invited talk entitled "Metadata for Efficient Exploitation of Very Large Multimedia Databases", during the Regional Workshop on Advanced Digital Technology-Assisted Cultural Artwork Restoration and Archiving within the framework of the Digital Silk Road project of UNESCO.

Service

Associate and Guest Editor

  • Associate Editor of the international journal ACM Journal on Data and Information Quality
  • Editor of 7 proceedings of national and international workshops and conferences (ICIQ 2012, QDB 2009 in conjunction with VLDB 2009, IQIS 2005 in conjunction with ACM SIGMOD 2005, QDC 2005, 2006, 2010, and 2011 in conjunction with the French conference EGC)
  • Journal referee for Journal of Data Management Research
  • Editorial board member of Journal on Information Quality and Journal of Digital Information Management

Program and Organization Committees

  • Co-chair of ICIQ 2016, the 21st International Conference on Information Quality, Ciudad Real, Spain
  • Co-organizer of the International Quality in Databases workshop (QDB 2016) selected in conjunction with VLDB 2016, Delhi, India, September 2016
  • PC chair of ICIQ 2012, the 17th International Conference on Information Quality, Paris, France.
  • Co-organizer and PC-co-chair of two international workshops Information Quality in Information Systems (IQIS 2005) and Quality in Databases (QDB 2009) in conjunction ACM SIGMOD 2005 and VLDB 2009 respectively
  • Co-organizer and PC chair of four workshop editions on Data and Knowledge Quality (QDC 2005, 2006, 2010, and 2011) in conjunction with the French conference on Data mining
  • Co-founder of EXQI, the first non-profit organization dedicated to data quality and data governance networking for French companies
  • PC member of more than 60 international and national conferences and workshops since 2000 including recently CIKM 2018, ICDE 2018, MIT-ICIQ 2017, BDA 2017

Mentoring

  • PhD Jury Committee Member and PhD Reviewer of 10+ PhD candidates
  • Supervision of 40+ young researcher internships and co-supervision of 5 PhD students

Teaching

As an Associate Professor (with tenure) from 2000 to 2010 and a Full Professor from 2017 to 2018, I taught (lessons and practical work) from 192 to 300 hours per year at the Computer Science departments of several universities and engineering schools: Aix-Marseille University (PolyTech'Marseille), University of Montpellier 2, University of Toulon, University of Avignon, and University of Rennes 1, INSA Rennes, ENST Brest in France as well as at University of Cape Coast in Ghana and University of Yaoundé in Cameroon, Africa in the volunteering initiative of AHED (Academics for Higher Education & Development)). I’ve developed numerous lecture notes, slides, and other pedagogical materials for undergraduate and graduate students on various topics of Data Science:

  • Data Management;
  • Advanced Database Administration and Tuning;
  • Machine Learning;
  • Data Warehousing;
  • Semantic Web Technologies;
  • Operating Systems;
  • Software Engineering Project Management.

Students

@Qatar Computing Research Institute, Qatar

  • Kushal Sha (October 2015 – July 2016) M.Sc. Intern, Urban computing: traffic density near-future forecasting.
  • Mouhamadou Lamine Ba (October 2015 – April 2016), Research Associate (Postdoc), Truth discovery for Web data and spatio-temporal events.
  • Aisha El-Allam (May 2015 – July 2015) M.Sc. Summer Intern, Qatar-CMU, Traffic Density Prediction based on Bluetooth sensored data.
  • Posha Dave (May 2015-July 2015) M.Sc. Summer Intern, Qatar-CMU, Information Extraction for Truth Discovery.
  • Naman Goel (October 2014 – February 2015, Internship) B.Tech, M.Tech in Computer Science & Engineering from Indian Institute of Technology, BHU: Meta-classifier for truth discovery, explanation and allegation.
  • Dalia Attia Waguih (November 2013 – August 2014, Internship), M.Sc. in Computer Science from Alexandria University, Egypt: Truth discovery algorithms implementation and experimental study.
  • Mahmood Neshati, Ph.D. in information retrieval from Sharif University of Technology, Tehran, Iran (May 2014 – August 2014, Internship): Combining constraint-based approaches with data mining-based approaches for detecting and repairing anomalies.

@Institut de Recherche pour le Développement, France

  • Andres Troya (October 2013 – October 2016, Ph.D. thesis) co-supervised with Prof. Gançarski, Strasbourg University, France: Collaborative Approach and Data and Knowledge Quality in Multi-Paradigm Remote Sensing Image Analysis.
  • Hatim Chahdi (October 2013 – July 2017, Ph.D. thesis) co-supervised with Dr Isabelle Mougenot, Montpellier University 2: Ontology-enhanced data classification.
  • Eva Serrano (October 2013 – January 2017, Ph.D. thesis) co-supervised with Prof. Armienta, UNAM, Mexico: Impact of data quality on the interpretations of statistical analysis results of Environmental Studies: Application to the Evaluation of the impact of emerging pollutants on the quality of the water of the rivers Tula, Taxco, Culiacan and Humaya in Mexico.
  • Cesar Guerra, Ph.D., (May 2011 – July 2011, Ph.D. Internship) co-supervised with Dr Ismael Caballero, Univ. Castilla-La Mancha: A Framework for Designing Data Quality Aware Web Applications.

@University of Rennes 1, France

  • Anicet KOUOMOU-CHOUPO, University of Rennes 1 (December 2002 – February 2006, Ph.D. thesis): Improving Similarity Search in Very Large Image Databases with Multimedia Mining Techniques.
  • Jean-André BENVENUTI, University of Rennes 1 (December 2002 – December 2008, Ph.D. thesis): Intelligent Parsing of XML Pedagogical Materials for Military Staff Training.
  • Ravi JAIN, University of South Australia (February 2007 – September 2007, Post-Doc): Quality-Awareness for Data Clustering.
  • Yongluan ZHOU, National University of Singapore (October 2005 – March 2006, Ph.D. Internship): Quality-Driven Distributed Query Planning and Optimization Based on Data Quality Negotiation.
  • Manuel BES (September 2001 – June 2002, M.Sc. Internship): Comparative Study of Association Rule Discovery Algorithms for Genomic Data Mining.
  • Anne CHARLERY (September 2002 – June 2003, M.Sc. Internship): Indexing Techniques for Genomic Data.
  • Mehrez CHAIKHA-DOUAIHY (February 2005 – June 2005, M.Sc. Internship): Optimizing Content-Based Image Retrieval.
  • Wilfried JOUVE (February 2005 – August 2005, M.Sc. Internship): Enriching Multimedia Content Description for Broadcast Environments.

Biographical Sketch

Laure Berti-Équille is a Research Director at Institut de Recherche pour le Développement (IRD), the French research institute for sustainable development, in ESPACE-DEV U228 research unit. Before, she was a full professor at Aix-Marseille University (AMU), senior scientist at Qatar Computing Research Institute (Hamad Bin Khalifa University, Qatar), Associate Professor (with tenure) at University of Rennes 1 (France), and visiting researcher at AT&T Labs Research (USA) as a recipient of the prestigious European Marie Curie Outgoing Fellowship. Her interests are at the intersection of large-scale data analytics, and statistical machine learning with a focus on anomaly detection with more than 80 publications and three monographs. She initiated the very first workshop editions on information and data quality in information systems (IQIS 2005) and in databases (QDB 2009 and 2016) in conjunction with SIGMOD and VLDB respectively, and co-organized the first French workshops on Data and Knowledge Quality in conjunction with EGC (Extraction et Gestion de Connaissances) in 2005, 2006, 2010, and 2011. She has received various grants from the French Agency for National Research (ANR), the French National Research Council (CNRS), and the European Union.

Address

Laboratoire d'Informatique et Systèmes (LIS)

Domaine Universitaire de Saint-Jérôme

Avenue Escadrille Normandie-Niemen

13397 Marseille Cedex 20, France

Contact

Prof. Laure Berti-Équille, Ph.D.

laure DOT berti AT ird DOT fr

(+33) 04 91 05 60 16

Along the way

Here are some quotes, pieces of advice, and thoughts I have been collecting through the years in the academia (anonymity preserved):

  • “Mediocrity is what you get when you unlock few men’s potential. What strikes me the most is when some men are given some responsibilities they don’t deserve: their ego inflates so much that they are no longer able to realize when their decisions are wrong, and when they should step back instead for pushing forward people around them using pressure and intimidation.”
  • “What to do with nepotism? Be obedient and kowtow to the supreme leadership. If this is impossible for you, be prepared to fight and loose with panache and timely back-up plans.”
  • Managers rise to the level of their incompetence and employees only stop being promoted once they can no longer perform effectively. Peter Principle, Laurence J. Peter, 1969.
  • Real-world example of leadership in a group meeting: “You should send fewer emails and work more instead of questioning the fairness of my decisions.”
  • Another example of leadership: “Ask a goat keeper to lead a research group in Rocket science. No doubt, he will achieve excellence in shepherding a flock of researchers as long as they conform as goats in the middle of the desert.”
  • “Don't forget that some of your colleagues suffer from the bucket-of-Indian-rats syndrome.” The metaphor (also known as the Crab mentality) refers to a bucket of rats. Individually, the rats could escape from the bucket, but instead they grabb at each other to prevent any from escaping.
  • “You are complaining about our near zero-woman workplace?!? What are you doing here in the first place? Stop being an agressive and hysteric female and be grateful to be sourrounded by brillant male colleagues capable of educating you.”
  • “Should you talk about your children at work? If you don't mention them, you will get a penalty for being a careless mother but if you do talk about them, you will get a penalty for being less committed to your job. What do you prefer?"