Incompleteness and Uncertainty in Information Systems: Proceedings of the Softeks Workshop on Incompleteness and Uncertainty in Information Systems, C

ISBN-13: 9783540198970 / Angielski / Miękka / 1994 / 235 str.

V. S. Alagar; S. Bergler; F. Q. Dong

Opis

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."

Spis treści

Software Aberrations — Origins and Treatments.- Reasoning with Incomplete Information: Rough Set Based Information Logics.- Knowledge and Uncertainty a Rough Set Approach.- A Formal Approach to Software Reusability.- Modeling Uncertainty in Object-Oriented Databases.- Management of Uncertainty in AI: A Rough Set Approach.- Rough Sets and Data Dependencies.- Situation Theory and Dempster-Shafer’s Theory of Evidence for Information Retrieval.- Completeness in Statechart Models for Reactive Systems.- Knowledge Recovery and Development.- A Relational Data Model for Manipulating Probabilistic Knowledge.- Uncertainty as a Function of Expertise.- Unnesting Fuzzy SQL Queries in Fuzzy Databases.- A Logical Explication of the Concepts of Incomplete and Uncertain Information.- Evolution of Intelligent Database Systems: A Personal Perspective.- Extracting Exact and Approximate Rules from Databases.- Logic of Rough Sets.- Author Index.