Incompleteness and Uncertainty in Information Systems: Proceedings of the SOFTEKS Workshop on Incompleteness and Uncertainty in Information Systems, Concordia University, Montreal, Canada, 8–9 October 1993
Springer London, Aug 16, 1994 - Computers - 233 pages
The Software Engineering and Knowledgebase Systems (SOFfEKS) Research Group of the Department of Computer Science, Concordia University, Canada, organized a workshop on Incompleteness and Uncertainty in Information Systems from October 8-9, 1993 in Montreal. A major aim of the workshop was to bring together researchers who share a concern for issues of incompleteness and uncertainty. The workshop attracted people doing fundamental research and industry oriented research in databases, software engineering and AI from North America, Europe and Asia. The workshop program featured six invited talks and twenty other presentations. The invited speakers were: Martin Feather (University of Southern CalifornialInformation Systems Institute) Laks V. S. Lakshmanan (Concordia University) Ewa Orlowska (Polish Academy of Sciences) z. Pawlak (Warsaw Technical University and Academy of Sciences) F. Sadri (Concordia University) A. Skowron (Warsaw University) The papers can be classified into four groups: rough sets and logic, concept analysis, databases and information retrieval, and software engineering. The workshop opened with a warm welcome speech from Dr. Dan Taddeo, Dean, Faculty of Engineering and Computer Science. The first day's presentations were in rough sets, databases and information retrieval. Papers given on the second day centered around software engineering and concept analysis. Sufficient time was given in between presentations to promote active interactions and numerous lively discussions. At the end of two days, the participants expressed their hope that this workshop would be continued.
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Software Aberrations Origins and Treatments
Rough Set Based
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agent algorithm answer Aprx Artificial Intelligence associated basic behavior belief function certainty components Computer Science concept consistency rules constraints context corresponding database systems decision rules decision table deductive databases defined definition denoted disjunctive logic program domain EIST database elementary sets elements equivalence classes event example expression extended formal formulas fuzzy databases fuzzy set given I/O cost IEEE implies IND(A IND(B indiscernibility relations Inductive dependencies InfoMap information source information system input Int’l knowledge logic program membership functions modal logic notion null values object-oriented databases objects OODBs operations partitioning dependency Pawlak predicate probabilistic relations Proc prodrules properties Proposition query processing reactive system relational algebra relational databases relevant reliability represented requirements respect rough set theory semantics Skowron source vectors specification statecharts structure subset temporal logic Theorem transition tuple uncertain uncertainty unnested upper approximation variables Workshop Y-values