LEADER 04564nam 2200613 a 450 001 9910820617103321 005 20200520144314.0 010 $a600-00-0325-0 010 $a9786610505555 010 $a1-60129-400-X 010 $a1-280-50555-9 035 $a(CKB)111087027618458 035 $a(SSID)ssj0000096915 035 $a(PQKBManifestationID)11116485 035 $a(PQKBTitleCode)TC0000096915 035 $a(PQKBWorkID)10114730 035 $a(PQKB)10158932 035 $a(MiAaPQ)EBC267470 035 $a(Au-PeEL)EBL267470 035 $a(CaPaEBR)ebr10116503 035 $a(CaONFJC)MIL50555 035 $a(OCoLC)53020578 035 $a(EXLCZ)99111087027618458 100 $a20020515d2002 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aActive mining $enew directions of data mining /$fedited by Hiroshi Motoda 205 $a1st ed. 210 $aAmsterdam ;$aWashington, DC $cIOS Press ;$aTokyo $cOhmsha$dc2002 215 $ax, 291 p. $cill 225 1 $aFrontiers in artificial intelligence and applications,$x0922-6389 ;$vv. 79.$aKnowledge-based intelligent engineering systems ;$vv. 3 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-58603-264-X 311 $a0-585-45890-1 320 $aIncludes bibliographical references and author index. 327 $aCover -- Title page -- Preface -- Acknowledgments -- Contents -- I. Data Collection -- Toward Active Mining from On-line Scientific Text Abstracts Using Pre-existing Sources -- Data Mining on the WAVEs - Word-of-mouth-Assisting Virtual Environments -- Immune Network-based Clustering for WWW Information Gathering/Visualization -- Interactive Web Page Retrieval with Relational Learning-based Filtering Rules -- Monitoring Partial Update of Web Pages by Interactive Relational Learning -- Context-based Classification of Technical Terms Using Support Vector Machines -- Intelligent Tickers: An Information Integration Scheme for Active Information Gathering -- II. User Centered Mining -- Discovery of Concept Relation Rules Using an Incomplete Key Concept Dictionary -- Mining Frequent Substructures from Web -- Towards the Discovery of Web Communities from Input Keywords to a Search Engine -- Temporal Spatial Index Techniques for OLAP in Traffic Data Warehouse -- Knowledge Discovery from Structured Data by Beam-wise Graph-Based Induction -- PAGA Discovery: A Worst-Case Analysis of Rule Discovery for Active Mining -- Evaluating the Automatic Composition of Inductive Applications Using StatLog Repository of Data Set -- Fast Boosting Based on Iterative Data Squashing -- Reducing Crossovers in Reconciliation Graphs Using the Coupling Cluster Exchange Method with a Genetic Algorithm -- Outlier Detection using Cluster Discriminant Analysis -- III. User Reaction and Interaction -- Evidence-Based Medicine and Data Mining: Developing a Causal Model via Meta-Learning Methodology -- KeyGraph for Classifying Web Communities -- Case Generation Method for Constructing an RDR Knowledge Base -- Acquiring Knowledge from Both Human Experts and Accumulated Data in an Unstable Environment. 327 $aActive Participation of Users with Visualizaiton Tools in the Knowledge Discovery Process -- The Future Direction of Active Mining in the Business World -- Topographical Expression of a Rule for Active Mining -- The Effect of Spatial Representation of Information on Decision Making in Purchase -- A Hybrid Approach of Multiscale Matching and Rough Clustering to Knowledge Discovery in Temporal Medical Databases -- Meta Analysis for Data Mining -- Author Index -- A -- B -- C -- F -- H -- I -- K -- M -- N -- O -- S -- T -- U -- W -- Y. 330 $aFocusing on data mining, this work is a joint effort from researchers in Japan, and includes a report on the forefront of data collection, user-centred mining and user interaction/reaction. It offers an overview of modern solutions with real-world applications, sharing hard-learned experiences. 410 0$aFrontiers in artificial intelligence and applications ;$vv. 79. 410 0$aFrontiers in artificial intelligence and applications.$pKnowledge-based intelligent engineering systems ;$vv. 3. 606 $aData mining 615 0$aData mining. 676 $a006.3/12 701 $aMotoda$b Hiroshi$0145437 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910820617103321 996 $aActive mining$94091764 997 $aUNINA