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001			300012
003			MX-SnUAN
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007			cr nn 008mamaa
008			150903s2009 gw | o |||| 0|eng d
020			_a9783642036033 _99783642036033
024	7		_a10.1007/9783642036033 _2doi
035			_avtls000353671
039		9	_a201509030516 _bVLOAD _c201405060324 _dVLOAD _y201402180958 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQ334-342
100	1		_aCao, Longbing. _eeditor. _9303863
245	1	0	_aAgents and Data Mining Interaction : _b4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15,2009, Revised Selected Papers / _cedited by Longbing Cao, Vladimir Gorodetsky, Jiming Liu, Gerhard Weiss, Philip S. Yu.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2009.
300			_brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aLecture Notes in Computer Science, _x0302-9743 ; _v5680
500			_aSpringer eBooks
505	0		_aInvited Talks and Papers -- Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering -- Knowledge-Based Reinforcement Learning for Data Mining -- Ubiquitous Intelligence in Agent Mining -- Agents Based Data Mining and Decision Support System -- Agent-Driven Data Mining -- Agent-Enriched Data Mining Using an Extendable Framework -- Auto-Clustering Using Particle Swarm Optimization and Bacterial Foraging -- A Self-Organized Multiagent System for Intrusion Detection -- Towards Cooperative Predictive Data Mining in Competitive Environments -- Data Mining Driven Agents -- Improving Agent Bidding in Power Stock Markets through a Data Mining Enhanced Agent Platform -- Enhancing Agent Intelligence through Data Mining: A Power Plant Case Study -- A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents -- Agent Mining Applications -- Agent Assignment for Process Management: Pattern Based Agent Performance Evaluation -- Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach -- The Complex Dynamics of Sponsored Search Markets.
520			_aThis book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on Agents and Data Mining Interaction, ADMI 2009, held in Budapest, Hungary in May 10-15, 2009 as an associated event of AAMAS 2009, the 8th International Joint Conference on Autonomous Agents and Multiagent Systems. The 12 revised papers and 2 invited talks presented were carefully reviewed and selected from numerous submissions. Organized in topical sections on agent-driven data mining, data mining driven agents, and agent mining applications, the papers show the exploiting of agent-driven data mining and the resolving of critical data mining problems in theory and practice; how to improve data mining-driven agents, and how data mining can strengthen agent intelligence in research and practical applications. Subjects that are also addressed are exploring the integration of agents and data mining towards a super-intelligent information processing and systems, and identifying challenges and directions for future research on the synergy between agents and data mining.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aGorodetsky, Vladimir. _eeditor. _9328998
700	1		_aLiu, Jiming. _eeditor. _9310029
700	1		_aWeiss, Gerhard. _eeditor. _9337206
700	1		_aYu, Philip S. _eeditor. _9303864
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783642036026
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-03603-3 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942			_c14
999			_c300012 _d300012