LEADER 04071nam 2200565 a 450 001 9910484639303321 005 20200520144314.0 024 7 $a10.1007/11574798 035 $a(CKB)1000000000213327 035 $a(SSID)ssj0000320480 035 $a(PQKBManifestationID)11235225 035 $a(PQKBTitleCode)TC0000320480 035 $a(PQKBWorkID)10249236 035 $a(PQKB)10194071 035 $a(DE-He213)978-3-540-32016-6 035 $a(MiAaPQ)EBC3067583 035 $a(PPN)123098459 035 $a(EXLCZ)991000000000213327 100 $a20051004d2005 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aTransactions on rough sets IV /$fJames F. Peters, Andrzej Skowron (eds.) 205 $a1st ed. 2005. 210 $aBerlin ;$aNew York $cSpringer$dc2005 215 $a1 online resource (X, 378 p.) 225 1 $aLecture notes in computer science,$x0302-9743 ;$v3700 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$aPrinted edition: 9783540298304 320 $aIncludes bibliographical references (p. 368-373) and index. 327 $aRegular Papers -- A Treatise on Rough Sets -- On Optimization of Decision Trees -- Dealing with Missing Data: Algorithms Based on Fuzzy Set and Rough Set Theories -- Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation -- Supervised Learning in the Gene Ontology Part I: A Rough Set Framework -- Supervised Learning in the Gene Ontology Part II: A Bottom-Up Algorithm -- Comparative Analysis of Deterministic and Nondeterministic Decision Tree Complexity Local Approach -- A Fast Host-Based Intrusion Detection System Using Rough Set Theory -- Incremental Learning and Evaluation of Structures of Rough Decision Tables -- Dissertations and Monographs -- A Framework for Reasoning with Rough Sets -- Analogy-Based Reasoning in Classifier Construction. 330 $aVolume IV of the Transactions on Rough Sets (TRS) introduces a number of new advances in the theory and application of rough sets. Rough sets and - proximationspaceswereintroducedmorethan30yearsagobyZdzis lawPawlak. These advances have profound implications in a number of research areas such as the foundations of rough sets, approximate reasoning, arti?cial intelligence, bioinformatics,computationalintelligence, cognitivescience, intelligentsystems, datamining,machineintelligence,andsecurity. Inaddition,itisevidentfromthe papers included in this volume that the foundations and applications of rough sets is a very active research area worldwide. A total of 16 researchers from 7 countries are represented in this volume, namely, Canada, India, Norway, S- den, Poland, Russia and the United States of America. Evidence of the vigor, breadth and depth of research in the theory and applications of rough sets can be found in the 10 articles in this volume. Prof. Pawlak has contributed a treatise on the philosophical underpinnings of rough sets. In this treatise, observations are made about the Cantor notion of a set, antinomies arising from Cantor sets, the problem of vagueness (es- cially, vague (imprecise) concepts), fuzzy sets, rough sets, fuzzy vs. rough sets as well as logic and rough sets. Among the many vistas and research directions suggested by Prof. Pawlak, one of the most fruitful concerns the model for a rough membership function, which was incarnated in many di?erent forms since its introduction by Pawlakand Skowronin 1994. Recall, here, that Prof. 410 0$aLecture notes in computer science ;$v3700. 517 3 $aTransactions on rough sets four 606 $aRough sets 606 $aDecision trees 615 0$aRough sets. 615 0$aDecision trees. 676 $a511.3/22 701 $aPeters$b James F$0555283 701 $aSkowron$b Andrzej$0895878 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484639303321 996 $aTransactions on rough sets IV$94189697 997 $aUNINA