Publications antérieures

Related Publications before 2006


IRISA






1. L. Berti-Équille. Quality and recommendation of multi-source data for assisting technological intelligence applications. Proc. of the Intl. Conference on Database and Expert Systems Applications (DEXA'99), LNCS, Volume 1677, pages 282-291, Florence, Italie, September 1999.
  1. L. Berti-Équille. Integration of Biological Data and Quality-driven Source Negotiation.Proc. of the Intl. Conference on Conceptual Modeling (ER'2001), LNCS, Volume 2224, pages 256-269, Yokohama, Japon, Novembre 2001.
  2. L. Berti-Équille. Quality-Adaptive Query Processing over Distributed Sources. Proc. of the International Conference on Information Quality, pages 285-296, M.I.T., Boston, U.S., Novembre 2004.
  3. L. Berti-Équille. Quality-based recommendation of XML documents. Journal of Digital Information Management, 1(3):117-128, Septembre 2003.
  4. L. Berti-Équille, Carlo Batini, Divesh Srivastava (Eds). Proceedings of the Second Intl. Workshop Information Quality in Information Systems (IQIS'05) in conjunction with the Intl. Conference ACM PODS/SIGMOD?05, Baltimore, MD, USA, June 2005.
  5. E. Guérin, G. Marquet, A. Burgun, O. Loréal, L. Berti-Equille, U. Leser, F. Moussouni, Integrating and Warehousing Liver Gene Expression Data and Related Biomedical Resourcesin GEDAW, Proc. of the 2nd Intl. Workshop on Data Integration in the Life Science (DILS), San Diego, 2005.

PRISM

  1. M. Bouzeghoub, V. Peralta, A Framework for Analysis of Data Freshness, Proc. of the 1st Int. Workshop on Information Quality in Information Systems (IQIS'2004), collocated with SIGMOD'2004, Paris, France, 2004.
  2. M. Bouzeghoub, B. Farias Loscio, Z. Kedad, and C. Salgado, Managing the evolution of mediation queries, Proc. of the Int. Conf. on Cooperative Information Systems (Coopis), 2003.
  3. M. Bouzeghoub, Z. Kedad, A. Soukane, Génération de requêtes de médiation intégrant le nettoyage de données, Revue Ingénierie des Systèmes d'Information (ISI), Editions HERMES, Vol. 7, n° 3, 2002.
  4. D. Theodoratos, M. Bouzeghoub, Data currency quality satisfaction in the design of a data warehouse, Cooperative Information System Journal, 10(1), 2001.
  5. P. Vassiliadis, M. Bouzeghoub, C. Quix, Towards Quality Oriented Data Warehouse Usage and Evolution, Information Systems Journal, Vol. 25, N°2, p. 89-115, Elsevier Science, 2000.
  6. M. Bouzeghoub, Z. Kedad, Quality in Data Warehousing. Book Chapter in Information and Database Quality, M.G. Piattini, C. Calero and M. Genero (eds), Kluwer Academic Publisher, 2002.
  7. M. Bouzeghoub, Z. Kedad, A Logical Model for Data Warehouse Design and Evolution, Proc. of the 2nd International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2000), September 4-6, London-Greenwich, United Kingdom, 2000.
  8. D. Grigori, V. Peralta, M. Bouzeghoub, Service Retrieval Based on Behavioral Specifications and Quality Requirements, 3rd Int. Conf. on Business Process Management (BPM'2005), Nancy, France, September 2005.
  9. D. Grigori, F. Charoy, C. Godart, COO-flow: a Process Technology to Support Cooperative Processes, International Journal of Software Engineering and Knowledge Engineering, Special issue: Best Papers from SEKE 2003, Vol. 14, No. 1, January 2004
  10. D. Grigori, F. Casati, M. Castellanos, U. Dayal, M. Sayal, M.-C. Shan, Business Process Intelligence, Computers in Industry Journal, Special issue on workflow mining, Vol. 53/3, pp 321-343, April 2004.
  11. B. Benatallah, F. Casati, D. Grigori, H. R. M. Nezhad and F. Toumani, Developing Adapters for Web Services Integration, Proc. of the 17th Conference on Advanced Information Systems Engineering CAiSE 2005, Porto, Portugal, June 2005.
  12. D. Grigori, F. Casati, U. Dayal, M.-C. Shan, Improving Business Process Quality through Exception Understanding, Prediction, and Preventing,  Proc. of the 27th Intl. Conference on Very Large Data Bases (VLDB'2001), September 2001, Rome, 159-168.
  13. V. Peralta, M. Bouzeghoub, Data Freshness Evaluation in Different Application Scenarios, Proc. of the 1st Data and Knowledge Quality Workshop (DKQ'2005), co-located with the 5èmes Journées d'extraction et Gestion des Connaissances (EGC'2005), Paris, France, 2005.
  14. V. Peralta, R. Ruggia, M. Bouzeghoub, Analyzing and Evaluating Data Freshness in Data Integration Systems, Ingénierie de Systèmes d'Information (ISI), vol. 9 (5/6) : 145-162, 2004.
  15. V. Peralta, R. Ruggia, Z. Kedad, M. Bouzeghoub, A Framework for Data Quality Evaluation in a Data Integration System, Proc. of the 19th Brasilian Database Simposium (SBBD'2004), Brasilia, Brazil, 2004.
CEDRIC

  1. S. Si-said Cherfi, N. Prat, Multidimensional Schemas Quality: Assessing and Balancing Analyzability and Simplicity. Proc. of IWCMQ'03-ER'03, Chicago, Illinois, October 13th-16th, 2003.
  2. S. Si-said Cherfi, J. Akoka, and I. Comyn-Wattiau, A Framework for Conceptual Modeling Quality Evaluation. Proc. of ICSQ'03, Dallas, October 6th-9th, 2003.
  3. N. Prat, S. Si-Said Cherfi, Multidimensional Schemas Quality Assessment. Proc. of DSE '03 - CAiSE'03, Klagenfurt, Velden, Austria, June 16th-20th, 2003.
  4. S. Si-Said Cherfi, J. Akoka, I. Comyn-Wattiau, Conceptual Modeling Quality From EER To UML Schemas Evaluation. Proc. of Intl. Conf. ER 2002, Lecture Notes in Computer Science, 2002.
  5. S. Si-Said Cherfi, J. Akoka, I. Comyn-Wattiau, Measuring UML Conceptual Modeling Quality, Method and Implementation. Proc. of BDA'02, 21-25 octobre, Evry, France, 2002.
  6. Qualité des systèmes d'information, Numéro spécial Revue Hermès Ingénierie des systèmes d'information RSTI série ISI Vol. 9 N° 5-6/2004, sous la responsabilité de Jacky Akoka et Isabelle Comyn-Wattiau, Date de parution: 03-2005
INSTITUT CURIE

  1. M. Cosquer, F. Gros, A. Livartowski, Qualité et datawarehouse dans le milieu hospitalier, 4èmes Journées Francophones Extraction et de Gestion des Connaissances (EGC), Clermont-Ferrand, 2004.
  2. M. Cosquer, B. Le Vu, M.-F. Le Goff, C. Hallé, D. Aumont, E. Vengeon, A. Livartowski, Evaluation de la qualité du dossier patient et optimisation du recueil, Journées Evaluation Management Organisation Information et Santé (emois), Nancy, 2004.
  3. M. Cosquer, M. Turluche, B. Le Vu, B. Asselain, A. Livartowski, Mise en place d'un plan d'Assurance Qualité du Dossier Patient, 5èmes Journées Francophones Extraction et de Gestion des Connaissances (EGC), Paris, 2005.
EDF R&D

  1. F. Guisnel, C. Terakopiantz, Introduction à la qualité des données et exemples d'outils, club SAS-stat, 2004.
  2. V. Stéphan, G. Hébrail, S. Goutier, Getting right answers from incomplete multidimensional databases, Revue Ingénierie des Systèmes d'Information, n° 3/2002, 2002
  3. L. Pierre, Expressing and checking constraints in relational databases, ISE (Information Systems and Engineering), Las Vegas, 2001.
  4. M.-L. Picard, Data Mining techniques for mass personalization within a large utility company, World Congress on Mass Customization and Personalization, Hong-Kong, 2001.
LSIS

  1. F.-M. Colonna, O. Boucelma, Virtual HyperLinks in Geospatial Datasources, Proc. of the 2nd International Workshop on Geographic Information Management GIM'05, Copenhagen, Denmark, August 25, 2005.
  2. M. Essid, O. Boucelma, F.-M. Colonna, Y. Lassoued, Query Processing in a Geographic Mediation System. Proc. of the ACM GIS 2004, p. 101-108, Washington D.C., p. 12-13, November 2004.
  3. O. Boucelma and F.-M. Colonna, Mediation for Online Geoservices, Proc. of the 4th International Workshop Web &Wireless Geographical Information System, W2GIS 2004, Hankuk Aviation University, Korea. LNCS, p. 25-27 Novembre 2004.
  4. Y. Lassoued, O. Boucelma, R. Jeansoulin, Data and Quality Integration in GIS.In Elfriede Fendel and Massimo Rumor, editors, Proc. of 24th Urban Data Management Symposium, p. 13.15-13.35, Venice, Italy, October 27-29, 2004. UDMS 2004.
  5. 1. O. Boucelma, M. Essid, Z. Lacroix, J. Vinel, J-Y. Garinet, A. Betari. VirGIS: Mediation for Geographical Information Systems, Proc. of the ICDE Conference 2004, p. 855-856, Boston, March 30 - April 2, 2004.
  6. S. Benferhat, M-A. Cavarroc, R. Jeansoulin, Modeling Landuse Changes Using Bayesian Classifiers, Proc. of the Intl. Conf on Advances in Intelligent Systems - Theory and Applications, F. Zimmer, M. Mohammadian & D. Khadraoui Eds., AISTA 2004, IEEE Computer Society, Luxembourg, November 15-18, 2004.
  7. G. Edwards, R. Jeansoulin, Data Fusion, from a logic perspective with a view to implementation, Intl. J. Geographical Information Science, vol. 18, n° 4, p. 303-307, June 2004.
  8. V. Phan-Luong, T.T. Pham, R. Jeansoulin, Data Quality Based Fusion: Application to the Land Cover", Proc. of the 7th Intl. Conference on Information Fusion, FUSION 2004, Stockholm, Sweden, June 28th- July 1st, 2004.
  9. M-A. Mostafavi, G. Edwards, R. Jeansoulin, An ontology-based method for quality assesment of spatial data bases, Proc. of the Third Intl. Symposium on Spatial Data Quality (ISSDQ 2004), Austria, April 15-17, 2004.
  10. M. Khelfallah, R. Jeansoulin, G. Edwards, Piecewise Revision for Geographic Information", Proc. of the 6th AGILE Conference, Association of Geographic Information Laboratories in Europe, pp. 735-741,, Lyon, France, April 24-26, 2003.
  11. M. Goodchild, R. Jeansoulin, Special Issue: Quality in GIS, Guest Editorial, Journal of GeoInformatica, Vol. 2, n° 3, p. 211-214, Kluwer Academic Publishers, 1998.
EDF R&D Software and Data Quality Tools

  1. ADEQUAT (Data Auditing Tool) : ADEQUAT aims at auditing and giving a statistical diagnosis of errors. The major innovation of this tool lies in the fact that data auditing is based on end-user definition of business constraints. These ones are checked to detect data inconsistency. In a diagnosis phase, a statistical characterization allows production of a set of business rules so that end-user understands data errors reasons.
  2. DECLIC-C (Data Pre-Cleaning Tool) Based on SAS procedures, DECLIC-L proposes end-users a friendly interface for performing dataset profiling, features transformation or robust estimations. Missing values cleaning is automated by an imputation technique. It uses logistic regression models. DECLIC-L approach enables end-users to "plug into" data and information quality.
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