Biblio

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T. - Y. Jen, Laurent, D., and Spyratos, N., Mining frequent conjunctive queries in star schemas, in International Database Engineering and Applications Symposium (IDEAS), 2009, pp. 97-108.
T. - Y. Jen, Laurent, D., and Spyratos, N., Mining all frequent projection-selection queries from a relational table, in EDBT, 2008, pp. 368-379.
T. Y. Jen, Laurent, D., and Spyratos, N., On the characterization of the anti-monotonicity of the support of projection-selection queries over relational tables with functional dependencies, in Journés Bases de Donnés Avancées (BDA), 2008.
T. - Y. Jen, Laurent, D., and Spyratos, N., Computing Supports of Conjunctive Queries on Relational Tables with Functional Dependencies, Fundamenta Informaticae, vol. 99, pp. 263-292, 2010.
M. Jarvisalo, Le Berre, D., Roussel, O., and Simon, L., The International SAT Solver Competition, Artificial Intelligence Magazine, vol. 33, 2012.
S. Jabbour, Ma, Y., Badran, R., Sais, L., and Salhi, Y., A MIS Partition Based Framework for Measuring Inconsistency, in 15th International Conference on Principles of Knowledge Representation and Reasoning (KR'16), Cape Town, South Africa, 2016.
S. Jabbour, Ma, Y., Badran, R., and Sais, L., On the Characterization of Inconsistency Measures: A Prime Implicates Based Framework, in The annual IEEE International Conference on Tools with Artificial Intelligence, Limassol, Cyprus, 2014.
S. Jabbour, Ma, Y., Badran, R., Sais, L., and Salhi, Y., On Structure-Based Inconsistency Measures and Their Computations via Closed Set Packing, in Proceedings of the Autonomous Agents and Multiagent Systems (AAMAS'15), Istanbul, Turkey, 2015.
S. Jabbour, Ma, Y., Badran, R., and Sais, L., Quantifying Conflicts in Propositional Logic Through Prime Implicates, {International Journal of Approximate Reasoning.}, 2017.