LEADER 04634nam 22007695 450 001 996466122603316 005 20230401012356.0 010 $a3-540-36299-1 024 7 $a10.1007/11795131 035 $a(CKB)1000000000283992 035 $a(SSID)ssj0000319882 035 $a(PQKBManifestationID)11214973 035 $a(PQKBTitleCode)TC0000319882 035 $a(PQKBWorkID)10342252 035 $a(PQKB)10116255 035 $a(DE-He213)978-3-540-36299-9 035 $a(MiAaPQ)EBC3068224 035 $a(PPN)123136709 035 $a(EXLCZ)991000000000283992 100 $a20100301d2006 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aRough Sets and Knowledge Technology$b[electronic resource] $eFirst International Conference, RSKT 2006, Chongquing, China, July 24-26, 2006, Proceedings /$fedited by James F. Peters, Yiju Yao 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (XXII, 810 p.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v4062 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-36297-5 320 $aIncludes bibliographical references and index. 327 $aCommemorative Paper -- Keynote Papers -- Plenary Papers -- Rough Computing -- Evolutionary Computing -- Fuzzy Sets -- Granular Computing -- Neural Computing -- Machine Learning and KDD -- Logics and Reasoning -- Multiagent Systems and Web Intelligence -- Pattern Recognition -- System Engineering and Description -- Real-Life Applications Based on Knowledge Technology. 330 $aThis volume contains the papers selected for presentation at the First Int- national Conference on Rough Sets and Knowledge Technology (RSKT 2006) organized in Chongqing, P. R. China, July 24-26, 2003. There were 503 s- missions for RSKT 2006 except for 1 commemorative paper, 4 keynote papers and 10 plenary papers. Except for the 15 commemorative and invited papers, 101 papers were accepted by RSKT 2006 and are included in this volume. The acceptance rate was only 20%. These papers were divided into 43 regular oral presentation papers (each allotted 8 pages), and 58 short oral presentation - pers (each allotted 6 pages) on the basis of reviewer evaluation. Each paper was reviewed by two to four referees. Since the introduction of rough sets in 1981 by Zdzis law Pawlak, many great advances in both the theory and applications have been introduced. Rough set theory is closely related to knowledge technology in a variety of forms such as knowledge discovery, approximate reasoning, intelligent and multiagent systems design, and knowledge intensive computations that signal the emergence of a knowledge technology age. The essence of growth in cutting-edge, state-of-t- art and promising knowledge technologies is closely related to learning, pattern recognition,machine intelligence and automation of acquisition, transformation, communication, exploration and exploitation of knowledge. A principal thrust of such technologies is the utilization of methodologies that facilitate knowledge processing. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v4062 606 $aArtificial intelligence 606 $aInformation storage and retrieval systems 606 $aDatabase management 606 $aMachine theory 606 $aComputer science 606 $aPattern recognition systems 606 $aArtificial Intelligence 606 $aInformation Storage and Retrieval 606 $aDatabase Management 606 $aFormal Languages and Automata Theory 606 $aTheory of Computation 606 $aAutomated Pattern Recognition 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval systems. 615 0$aDatabase management. 615 0$aMachine theory. 615 0$aComputer science. 615 0$aPattern recognition systems. 615 14$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 615 24$aDatabase Management. 615 24$aFormal Languages and Automata Theory. 615 24$aTheory of Computation. 615 24$aAutomated Pattern Recognition. 676 $a006.3 702 $aPeters$b James F$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYao$b Yiju$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996466122603316 996 $aRough Sets and Knowledge Technology$9771897 997 $aUNISA