Jan Komorowski - Böcker

This book constitutes the refereed proceedings of the 4th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2004, held in Uppsala, Sweden in June 2004. The 45 revised full papers and 60 revised short papers presented together with 3 invited papers and a bibliographic project report were carefully reviewed and selected from 248 submissions. The papers are organized in topical sections on theory, logic and rough sets, granular computing, rough and fuzzy relations, foundations of data mining, incomplete information systems, interestingness, multiagents and information systems, fuzzy logic and modeling, rough classification, rough sets and probabilities, variable precision rough sets models, spatial reasoning, reduction, rule induction, rough sets and neural networks, clustering, data mining, image and signal recognition, information retrieval, decision support, adaptaive and optimization methods, bioinformatics, and medical applications.

This volume contains papers selected for presentation at PKDD'2000, the Fourth European Conference on Principles and Practice of Knowledge Discovery in - tabases. The rst meeting was held in Trondheim, Norway, in June 1997, the second in Nantes, France, in September 1998, and the third in Prague, Czech Republic, in September 1999. PKDD 2000 was organized in Lyon, France, on 13{16 September 2000. The conference was hosted by the Equipe de Recherche en Ing enierie des Conna- sances at the Universit e Lumi ere Lyon 2. We wish to express our thanks to the sponsors of the Conference, to the University Claude Bernard Lyon 1, the INSA of Lyon, the Conseil g en eral of the R^one, the R egion Rh^one Alpes, SPSS France, AFIA, and the University of Lyon 2, for their generous support. Knowledge discovery in databases (KDD), also known as data mining, p- vides tools for turning large databases into knowledge that can be used in pr- tice.KDD has been able to grow very rapidly since its emergence a decade ago by drawing its techniques and data mining experiences from a combination of many existing research areas: databases, statistics, mathematical logic, machine learning, automated scienti c discovery, inductive logic programming, arti cial intelligence, visualization, decision science, knowledge management, and high performance computing. The strength of KDD came initially from the value - ded by the creative combination of techniques from the contributing areas.

This volume contains papers selected for presentation at the 7th International Symposium on Methodologies for Intelligent Systems (ISMIS '93), held at the Norwegian Institute of Technology, Trondheim, Norway, in June 1993. The volume includes six invited talks and 43 contributed papers organized under the following headings: logic for artificial intelligence, expert systems, intelligent databases, approximate reasoning, constraint programming, learning and adaptive systems, methodologies, knowledge representation and manufacturing.