000			04129nam a22005415i 4500
001			978-0-387-25757-0
003			DE-He213
005			20250710083934.0
007			cr nn 008mamaa
008			100301s2005 xxu| s |||| 0|eng d
020			_a9780387257570 _a99780387257570
024	7		_a10.1007/b136000 _2doi
082	0	4	_a006.312 _223
100	1		_aSymeonidis, Andreas L. _eauthor.
245	1	0	_aAgent Intelligence Through Data Mining _h[recurso electrónico] / _cby Andreas L. Symeonidis, Pericles A. Mitkas.
264		1	_aBoston, MA : _bSpringer US, _c2005.
300			_aXXVI, 206 p. 77 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aMultiagent Systems, Artificial Societies, and Simulated Organizations, International Book Series, _x1568-2617 ; _v14
505	0		_aConcepts and Techniques -- Data Mining and Knowledge Discovery: A Brief Overview -- Intelligent Agents and Multi-Agent Systems -- Methodology -- Exploiting Data Mining on Mas -- Coupling Data Mining with Intelligent Agents -- Knowledge Diffusion: Three Representative Test Cases -- Data Mining on the Application Level of a Mas -- Mining Agent Behaviors -- Mining Knowledge for Agent Communities -- Extensions... -- Agent Retraining and Dynamical Improvement of Agent Intelligence -- Areas of Application & Future Directions.
520			_aAGENT INTELLIGENCE THROUGH DATA MINING offers a self-contained overview of a relatively young but important area of research: the intersection of agent technology and data mining. This intersection leads to considerable advancements in the area of information technologies, drawing the increasing attention of both research and industrial communities. It can take two forms: a) the more mundane use of intelligent agents for improved data mining and; b) the use of data mining for smarter, more efficient agents. The second approach is the main focus of this volume. Knowledge, routinely created and maintained by today's applications, is hidden in voluminous data repositories that can be extracted by data mining. The next step is to transform this discovered knowledge into the inference mechanisms or simply the behavior of agents and multi-agent systems. AGENT INTELLIGENCE THROUGH DATA MINING addresses this issue, as well as the arguable challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. Following a brief review of data mining and agent technology fields, this book presents a methodology for developing multi-agent systems, describes available open-source tools to support this process, and demonstrates the application of the methodology on three different cases. AGENT INTELLIGENCE THROUGH DATA MINING is designed for a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science.
650		0	_aCOMPUTER SCIENCE.
650		0	_aSOFTWARE ENGINEERING.
650		0	_aDATA STRUCTURES (COMPUTER SCIENCE).
650		0	_aDATABASE MANAGEMENT.
650		0	_aDATA MINING.
650		0	_aELECTRONIC DATA PROCESSING.
650		0	_aARTIFICIAL INTELLIGENCE.
650	1	4	_aCOMPUTER SCIENCE.
650	2	4	_aDATA MINING AND KNOWLEDGE DISCOVERY.
650	2	4	_aDATABASE MANAGEMENT.
650	2	4	_aARTIFICIAL INTELLIGENCE (INCL. ROBOTICS).
650	2	4	_aSOFTWARE ENGINEERING/PROGRAMMING AND OPERATING SYSTEMS.
650	2	4	_aDATA STRUCTURES.
650	2	4	_aCOMPUTING METHODOLOGIES.
700	1		_aMitkas, Pericles A. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387243528
830		0	_aMultiagent Systems, Artificial Societies, and Simulated Organizations, International Book Series, _x1568-2617 ; _v14
856	4	0	_uhttp://dx.doi.org/10.1007/b136000 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SCS
942			_2ddc _cER
999			_c56478 _d56478