LEADER 04509nam 22007575 450 001 9910484544303321 005 20200629141516.0 010 $a3-319-20230-8 024 7 $a10.1007/978-3-319-20230-3 035 $a(CKB)3710000000436902 035 $a(SSID)ssj0001547013 035 $a(PQKBManifestationID)16141379 035 $a(PQKBTitleCode)TC0001547013 035 $a(PQKBWorkID)14795899 035 $a(PQKB)10667544 035 $a(DE-He213)978-3-319-20230-3 035 $a(MiAaPQ)EBC6305119 035 $a(MiAaPQ)EBC5587693 035 $a(Au-PeEL)EBL5587693 035 $a(OCoLC)910937752 035 $a(PPN)186399561 035 $a(EXLCZ)993710000000436902 100 $a20150604d2015 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAgents and Data Mining Interaction $e10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers /$fedited by Longbing Cao, Yifeng Zeng, Bo An, Andreas L. Symeonidis, Vladimir Gorodetsky, Frans Coenen, Philip S. Yu 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XI, 125 p. 54 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v9145 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-20229-4 320 $aIncludes bibliographical references and index. 327 $aLearning Agents? Relations in Interactive Multiagent Dynamic Influence Diagrams -- Agent-Based Customer Profile Learning in 3G Recommender Systems: Ontology-Driven Multi-source Cross-Domain Case -- Modeling Temporal Propagation Dynamics in Multiplex Networks -- Mining Movement Patterns from Video Data to Inform Multi-agent Based Simulation -- Accessory-Based Multi-agent Simulating Platform on the Web -- Performance Evaluation of Agents and Multi-agent Systems Using Formal Specifications in Z Notation -- Reputation in Communities of Agent-Based Web Services Through Data Mining -- Data Mining Process Optimization in Computational Multi-agent Systems -- Diversifying the Storytelling Using Bayesian Networks -- A Coupled Similarity Kernel for Pairwise Support Vector Machine. 330 $aThis book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining Interactions, ADMI 2014, held in Paris, France, in May 2014 as satellite workshop of AAMAS 2014, the 13th International Conference on Autonomous Agents and Multiagent Systems. The 11 papers presented were carefully reviewed and selected from numerous submissions for inclusion in this volume. They present current research and engineering results, as well as potential challenges and prospects encountered in the respective communities and the coupling between agents and data mining. 410 0$aLecture Notes in Artificial Intelligence ;$v9145 606 $aArtificial intelligence 606 $aData mining 606 $aApplication software 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 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aInformation Systems Applications (incl. Internet). 676 $a006.3 702 $aCao$b Longbing$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZeng$b Yifeng$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAn$b Bo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSymeonidis$b Andreas L$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGorodetsky$b Vladimir$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCoenen$b Frans$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYu$b Philip S$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484544303321 996 $aAgents and Data Mining Interaction$92829961 997 $aUNINA