000 03564nam a22005895i 4500
001 978-3-319-20230-3
003 DE-He213
005 20200421112550.0
007 cr nn 008mamaa
008 150604s2015 gw | s |||| 0|eng d
020 _a9783319202303
_9978-3-319-20230-3
024 7 _a10.1007/978-3-319-20230-3
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aAgents and Data Mining Interaction
_h[electronic resource] :
_b10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers /
_cedited by Longbing Cao, Yifeng Zeng, Bo An, Andreas L. Symeonidis, Vladimir Gorodetsky, Frans Coenen, Philip S. Yu.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXI, 125 p. 54 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9145
505 0 _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.
520 _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.
650 0 _aComputer science.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aInformation Systems Applications (incl. Internet).
700 1 _aCao, Longbing.
_eeditor.
700 1 _aZeng, Yifeng.
_eeditor.
700 1 _aAn, Bo.
_eeditor.
700 1 _aSymeonidis, Andreas L.
_eeditor.
700 1 _aGorodetsky, Vladimir.
_eeditor.
700 1 _aCoenen, Frans.
_eeditor.
700 1 _aYu, Philip S.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319202297
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9145
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-20230-3
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c58810
_d58810