LEADER 06407nam 22007335 450 001 9910144924903321 005 20200705173117.0 010 $a3-540-69236-3 024 7 $a10.1007/3-540-63223-9 035 $a(CKB)1000000000234669 035 $a(SSID)ssj0000325833 035 $a(PQKBManifestationID)11252905 035 $a(PQKBTitleCode)TC0000325833 035 $a(PQKBWorkID)10271791 035 $a(PQKB)11573973 035 $a(DE-He213)978-3-540-69236-2 035 $a(PPN)155169971 035 $a(EXLCZ)991000000000234669 100 $a20121227d1997 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aPrinciples of Data Mining and Knowledge Discovery$b[electronic resource] $eFirst European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997 Proceedings /$fedited by Jan Komorowski, Jan Zytkow 205 $a1st ed. 1997. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1997. 215 $a1 online resource (XII, 404 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v1263 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-63223-9 327 $aKnowledge discovery ? A control theory perspective -- Modelling customer retention with Rough Data Models -- Share based measures for itemsets -- Parallel knowledge discovery using domain generalization graphs -- Rough set theory and rule induction techniques for discovery of attribute dependencies in medical information systems -- Logical calculi for knowledge discovery in databases -- Extraction of experts' decision process from clinical databases using rough set model -- Discovering of health risks and case-based forecasting of epidemics in a health surveillance system -- An algorithm for multi-relational discovery of subgroups -- Finding similar time series -- Exploration of document collections with self-organizing maps: A novel approach to similarity representation -- Pattern based browsing in document collections -- Induction of fuzzy characteristic rules -- Regression-based classification methods and their comparison with decision tree algorithms -- Attribute discovery and rough sets -- Generation of rules from incomplete information systems -- Knowledge discovery from software engineering data: Rough set analysis and its interaction with goal-oriented measurement -- Efficient multisplitting on numerical data -- SNOUT: An intelligent assistant for exploratory data analysis -- Exploratory analysis of biochemical processes using hybrid modeling methods -- Using signature files for querying time-series data -- A new and versatile method for association generation -- Bivariate decision trees -- Towards process-oriented tool support for knowledge discovery in databases -- A connectionist approach to structural similarity determination as a basis of clustering, classification and feature detection -- Searching for relational patterns in data -- Finding spatial clusters -- Interactive interpretation of hierarchical clustering -- The principle of transformation between efficiency and effectiveness: Towards a fair evaluation of the cost-effectiveness of KDD techniques -- Recognizing reliability of discovered knowledge -- Clustering techniques in biological sequence analysis -- TOAS intelligence mining; analysis of natural language processing and computational linguistics -- Algorithms for constructing of decision trees -- Mining in the phrasal frontier -- Mining time series using rough sets ? A case study -- Neural networks design: Rough set approach to continuous data -- On meta levels of an organized society of KDD agents -- Using neural network to extract knowledge from database -- Induction of strong feature subsets -- Rough sets for data mining and knowledge discovery -- Techniques and applications of KDD -- A tutorial introduction to high performance data mining -- Data mining in the telecommunications industry. 330 $aThis book constitutes the refereed proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '97, held in Trondheim, Norway, in June 1997. The volume presents a total of 38 revised full papers together with abstracts of one invited talk and four tutorials. Among the topics covered are data and knowledge representation, statistical and probabilistic methods, logic-based approaches, man-machine interaction aspects, AI contributions, high performance computing support, machine learning, automated scientific discovery, quality assessment, and applications. 410 0$aLecture Notes in Artificial Intelligence ;$v1263 606 $aArtificial intelligence 606 $aInformation storage and retrieval 606 $aMultimedia information systems 606 $aMathematical statistics 606 $aInformation technology 606 $aBusiness?Data processing 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aMultimedia Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I18059 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 606 $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval. 615 0$aMultimedia information systems. 615 0$aMathematical statistics. 615 0$aInformation technology. 615 0$aBusiness?Data processing. 615 14$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 615 24$aMultimedia Information Systems. 615 24$aProbability and Statistics in Computer Science. 615 24$aIT in Business. 676 $a006.3/1 702 $aKomorowski$b Jan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZytkow$b Jan$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aPKDD '97 906 $aBOOK 912 $a9910144924903321 996 $aPrinciples of data mining and knowledge discovery$9415802 997 $aUNINA