Biblio

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2017
M. - O. Cordier, Dague, P., Pencolé, Y., and Travé-Massuyès, L., Diagnosis and supervision: model-based approaches, in {A guided tour of artificial intelligence research}, P. Marquis, Papini, O., and Prade, H., Eds. {Springer}, 2017.
2016
F. Sais and Thomopoulos, R., Fusion de données redondantes : une approche explicative, in Extraction et Gestion des Connaissances (EGC), Reims, France, 2016, pp. 363–368.
R. Bonaque, Cao, T. Duc, Cautis, B., Goasdoué, F., Letelier, J., Manolescu, I., Mendoza, O., Ribeiro, S., Tannier, X., and Thomazo, M., Mixed-instance querying: a lightweight integration architecture for data journalism, in {VLDB}, New Delhi, India, 2016.
R. Bonaque, Cao, T. Duc, Cautis, B., Goasdoué, F., Letelier, J., Manolescu, I., Mendoza, O., Ribeiro, S., Tannier, X., and Thomazo, M., Mixed-instance querying: a lightweight integration architecture for data journalism, in {VLDB}, New Delhi, India, 2016.
N. Pernelle, Sais, F., Mercier, D., and Thuraisamy, S., RDF data evolution: efficient detection and semantic representation of changes, Proceedings of the Posters and Demos Track of the 12th International Conference on Semantic Systems - SEMANTiCS2016. p. 4 pages, 2016.
N. Bidoit, Herschel, M., and Tzompanaki, K., Refining SQL Queries based on Why-Not Polynomials, in {8th USENIX Workshop on the Theory and Practice of Provenance, TaPP 2016}, Washington, D.C., United States, 2016.
Y. Fang, Cheng, R., Tang, W., Maniu, S., and Yang, X., Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data (Extended abstract), in International Conference on Data Engineering (ICDE), Helsinki, Finland, 2016, pp. 1528-1529.
Y. Fang, Cheng, R., Tang, W., Maniu, S., and Yang, X., Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data, IEEE Transactions on Knowledge and Data Engineering, vol. 28, 2016.
2015
N. Bidoit, Herschel, M., and Tzompanaki, K., Efficient Computation of Polynomial Explanations of Why-Not Questions, in 24th ACM International Conference on Information and Knowledge Management - CIKM 2015, Melbourne, Australia, 2015.
N. Bidoit, Herschel, M., and Tzompanaki, K., Efficient computation of polynomial explanations of Why-Not questions, in 31ème Conférence sur la Gestion de Données - Principes, Technologies et Applications - BDA 2015, Île de Porquerolles, France, 2015.
N. Bidoit, Herschel, M., and Tzompanaki, K., Efficiently and Effectively Answering Why-Not Questions based on Provenance Polynomials. OAK team, Inria Saclay ; INRIA, p. 25, 2015.
N. Bidoit, Herschel, M., and Tzompanaki, K., EFQ: Why-Not Answer Polynomials in Action, in 41st International Conference on Very Large Data Bases - VLDB 2015, Hawai, United States, 2015.
F. Bugiotti, Cabibbo, L., Atzeni, P., and Torlone, R., How I Learned to Stop Worrying and Love NoSQL Databases, in SEBD Italian Symposium on Advanced Database Systems, Gaeta, Italy, 2015.
F. Sais, Thomopoulos, R., and Ioanna, G., Linked Data Annotation and Fusion driven by Data Quality Evaluation, in Extraction et Gestion des Connaissances (EGC), Luxembourg, Luxembourg, 2015.
Y. Pencolé, Travé-Massuyès, L., and Dague, P., Proceedings of the 26th International Workshop on Principles of Diagnosis (DX-2015), CEUR Workshop Proceedings, vol. 1507. {Yannick Pencolé and Louise Travé-Massuyès and Philippe Dague}, Paris, France, p. 302, 2015.
Y. Pencolé, Travé-Massuyès, L., and Dague, P., Proceedings of the 26th International Workshop on Principles of Diagnosis (DX-2015), CEUR Workshop Proceedings, vol. 1507. {Yannick Pencolé and Louise Travé-Massuyès and Philippe Dague}, Paris, France, p. 302, 2015.
F. Sais and Thomopoulos, R., A Reconciliation-driven Approach of Case-based Prediction: State of the Art, Method Overview and Application in Food Science, in Case-Based Reasoning: Strategies, Developments and Applications, I. New York N. Publisher, Ed. 2015.
2014
F. Bugiotti, Cabibbo, L., Atzeni, P., and Torlone, R., Database Design for NoSQL Systems. Università degli studi Roma Tre, 2014.
F. Bugiotti, Cabibbo, L., Atzeni, P., and Torlone, R., Database Design for NoSQL Systems, in International Conference on Conceptual Modeling, Atlanta, United States, 2014, pp. 223 - 231.
N. Bidoit, Herschel, M., and Tzompanaki, K., Immutably Answering Why-Not Questions for Equivalent Conjunctive Queries, in TaPP 2014 - 6th USENIX Workshop on the Theory and Practice of Provenance, Cologne, Germany, 2014.
F. Sais and Thomopoulos, R., Ontology-Aware Prediction from Rules: A Reconciliation-Based Approach, Knowledge-Based Systems, vol. 67, pp. 117-130, 2014.
C. Giatsidis, Cautis, B., Maniu, S., Vazirgiannis, M., and Thilikos, D. M., Quantifying trust dynamics in signed graphs, the S-Cores approach, in SDM'2014: SIAM International Conference on Data Mining, Philadelphia, United States, 2014, pp. 668-676.
N. Bidoit, Herschel, M., and Tzompanaki, K., Query-Based Why-Not Provenance with NedExplain, in Extending Database Technology (EDBT), Athens, Greece, 2014.
N. Bidoit, Herschel, M., and Tzompanaki, K., Répondre à des requêtes Why-Not indépendamment de la représentation des requêtes, in Bases de données avancées (BDA14), Autrans-Grenboble, France, 2014.
K. Tzompanaki, Semi-automatic SQL Debugging and Fixing to solve the Missing-Answers Problem, in Very Large Databases (VLDB'14) PhD Workshop, Hangzhou, China, 2014.

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