Rough Sets and Current Trends in Computing: 4th International Conference, RSCTC 2004, Uppsala, Sweden, June 1-5, 2004, Proceedings: 3066 (Lecture Notes in Computer Science, 3066) - Tapa blanda

Reseña del editor

In recent years rough set theory has attracted the attention of many researchers and practitioners all over the world, who have contributed essentially to its development and applications. Weareobservingagrowingresearchinterestinthefoundationsofroughsets, including the various logical, mathematical and philosophical aspects of rough sets. Some relationships have already been established between rough sets and other approaches, and also with a wide range of hybrid systems. As a result, rough sets are linked with decision system modeling and analysis of complex systems, fuzzy sets, neural networks, evolutionary computing, data mining and knowledge discovery, pattern recognition, machine learning, and approximate reasoning. In particular, rough sets are used in probabilistic reasoning, granular computing (including information granule calculi based on rough mereology), intelligent control, intelligent agent modeling, identi?cation of autonomous s- tems, and process speci?cation. Methods based on rough set theory alone or in combination with other - proacheshavebeendiscoveredwith awide rangeofapplicationsinsuchareasas: acoustics, bioinformatics, business and ?nance, chemistry, computer engineering (e.g., data compression, digital image processing, digital signal processing, p- allel and distributed computer systems, sensor fusion, fractal engineering), de- sion analysis and systems, economics, electrical engineering (e.g., control, signal analysis, power systems), environmental studies, informatics, medicine, mole- lar biology, musicology, neurology, robotics, social science, software engineering, spatial visualization, Web engineering, and Web mining.

Reseña del editor

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.