LEADER 05933nam 22008535 450 001 9910144155503321 005 20251116234540.0 010 $a3-540-27794-3 024 7 $a10.1007/b98175 035 $a(CKB)1000000000212421 035 $a(SSID)ssj0000261204 035 $a(PQKBManifestationID)11216004 035 $a(PQKBTitleCode)TC0000261204 035 $a(PQKBWorkID)10255416 035 $a(PQKB)10108459 035 $a(DE-He213)978-3-540-27794-1 035 $a(MiAaPQ)EBC3087241 035 $a(PPN)155180525 035 $a(BIP)10825959 035 $a(EXLCZ)991000000000212421 100 $a20121227d2004 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aTransactions on Rough Sets I /$fedited by James F. Peters, Jerzy W. Grzymala-Busse, Bozena Kostek, Roman W. Swiniarski, Marcin S. Szczuka 205 $a1st ed. 2004. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2004. 215 $a1 online resource (X, 406 p.) 225 1 $aTransactions on Rough Sets,$x1861-2059 ;$v3100 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-22374-6 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aRough Sets ? Introduction -- Some Issues on Rough Sets -- Rough Sets ? Theory -- Learning Rules from Very Large Databases Using Rough Multisets -- Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction -- Generalizations of Rough Sets and Rule Extraction -- Towards Scalable Algorithms for Discovering Rough Set Reducts -- Variable Precision Fuzzy Rough Sets -- Greedy Algorithm of Decision Tree Construction for Real Data Tables -- Consistency Measures for Conflict Profiles -- Layered Learning for Concept Synthesis -- Basic Algorithms and Tools for Rough Non-deterministic Information Analysis -- A Partition Model of Granular Computing -- Rough Sets ? Applications -- Musical Phrase Representation and Recognition by Means of Neural Networks and Rough Sets -- Processing of Musical Metadata Employing Pawlak?s Flow Graphs -- Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values -- Rough Sets and Relational Learning -- Approximation Space for Software Models -- Application of Rough Sets to Environmental Engineering Models -- Rough Set Theory and Decision Rules in Data Analysis of Breast Cancer Patients -- Independent Component Analysis, Principal Component Analysis and Rough Sets in Face Recognition. 330 $aWe would like to present, with great pleasure, the ?rst volume of a new jo- nal, Transactions on Rough Sets. This journal, part of the new journal subline in the Springer-Verlag series Lecture Notes in Computer Science, is devoted to the entire spectrum of rough set related issues, starting from logical and ma- ematical foundations of rough sets, through all aspects of rough set theory and its applications, data mining, knowledge discovery and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets, theory of evidence, etc. The ?rst, pioneering papers on rough sets, written by the originator of the idea,ProfessorZdzis lawPawlak,werepublishedintheearly1980s.Weareproud to dedicate this volume to our mentor, Professor Zdzis law Pawlak, who kindly enriched this volume with his contribution on philosophical, logical, and mat- matical foundations of roughset theory. In his paper Professor Pawlakshows all over again the underlying ideas of rough set theory as well as its relations with Bayes' theorem, con'ict analysis, ?ow graphs, decision networks, and decision rules. 410 0$aTransactions on Rough Sets,$x1861-2059 ;$v3100 606 $aArtificial intelligence 606 $aData mining 606 $aComputers 606 $aLogic, Symbolic and mathematical 606 $aDatabase management 606 $aPattern perception 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aComputers. 615 0$aLogic, Symbolic and mathematical. 615 0$aDatabase management. 615 0$aPattern perception. 615 14$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputation by Abstract Devices. 615 24$aMathematical Logic and Formal Languages. 615 24$aDatabase Management. 615 24$aPattern Recognition. 676 $a006.3 702 $aPeters$b James F$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGrzymala-Busse$b Jerzy W$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKostek$b Bozena$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSwiniarski$b Roman W$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSzczuka$b Marcin S$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910144155503321 996 $aTransactions on Rough Sets I$92179797 997 $aUNINA