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Transactions on Rough Sets IV

✍ Scribed by ZdzisΕ‚aw Pawlak (auth.), James F. Peters, Andrzej Skowron (eds.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2005
Tongue
English
Leaves
383
Series
Lecture Notes in Computer Science 3700 : Transactions on Rough Sets
Edition
1
Category
Library

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✦ Synopsis


Volume IV of the Transactions on Rough Sets (TRS) introduces a number of new advances in the theory and application of rough sets. Rough sets and - proximationspaceswereintroducedmorethan30yearsagobyZdzis lawPawlak. These advances have profound implications in a number of research areas such as the foundations of rough sets, approximate reasoning, arti?cial intelligence, bioinformatics,computationalintelligence, cognitivescience, intelligentsystems, datamining,machineintelligence,andsecurity. Inaddition,itisevidentfromthe papers included in this volume that the foundations and applications of rough sets is a very active research area worldwide. A total of 16 researchers from 7 countries are represented in this volume, namely, Canada, India, Norway, S- den, Poland, Russia and the United States of America. Evidence of the vigor, breadth and depth of research in the theory and applications of rough sets can be found in the 10 articles in this volume. Prof. Pawlak has contributed a treatise on the philosophical underpinnings of rough sets. In this treatise, observations are made about the Cantor notion of a set, antinomies arising from Cantor sets, the problem of vagueness (es- cially, vague (imprecise) concepts), fuzzy sets, rough sets, fuzzy vs. rough sets as well as logic and rough sets. Among the many vistas and research directions suggested by Prof. Pawlak, one of the most fruitful concerns the model for a rough membership function, which was incarnated in many di?erent forms since its introduction by Pawlakand Skowronin 1994. Recall, here, that Prof.

✦ Table of Contents


Front Matter....Pages -
A Treatise on Rough Sets....Pages 1-17
On Optimization of Decision Trees....Pages 18-36
Dealing with Missing Data: Algorithms Based on Fuzzy Set and Rough Set Theories....Pages 37-57
Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation....Pages 58-68
Supervised Learning in the Gene Ontology Part I: A Rough Set Framework....Pages 69-97
Supervised Learning in the Gene Ontology Part II: A Bottom-Up Algorithm....Pages 98-124
Comparative Analysis of Deterministic and Nondeterministic Decision Tree Complexity Local Approach....Pages 125-143
A Fast Host-Based Intrusion Detection System Using Rough Set Theory....Pages 144-161
Incremental Learning and Evaluation of Structures of Rough Decision Tables....Pages 162-177
A Framework for Reasoning with Rough Sets....Pages 178-276
Analogy-Based Reasoning in Classifier Construction....Pages 277-374
Back Matter....Pages -

✦ Subjects


Mathematical Logic and Formal Languages; Computation by Abstract Devices; Artificial Intelligence (incl. Robotics); Database Management; Image Processing and Computer Vision


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