000			05319nam a22006135i 4500
001			u375029
003			SIRSI
005			20160812084304.0
007			cr nn 008mamaa
008			100827s2010 gw | s |||| 0|eng d
020			_a9783642154201 _9978-3-642-15420-1
040			_cMX-MeUAM
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
082	0	4	_a006.3 _223
100	1		_aCao, Longbing. _eeditor.
245	1	0	_aAgents and Data Mining Interaction _h[recurso electrónico] : _b6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, Toronto, ON, Canada, May 11, 2010, Revised Selected Papers / _cedited by Longbing Cao, Ana L. C. Bazzan, Vladimir Gorodetsky, Pericles A. Mitkas, Gerhard Weiss, Philip S. Yu.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_aX, 192p. 63 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 ; _v5980
505	0		_aAgents for Data Mining -- Finding Useful Items and Links in Social and Agent Networks -- Integrating Workflow into Agent-Based Distributed Data Mining Systems -- Pilot Study: Agent-Based Exploration of Complex Data in a Hospital Environment -- Multi-agent Information Retrieval in Heterogeneous Industrial Automation Environments -- Data Mining for Agents -- A Data Mining Approach to Identify Obligation Norms in Agent Societies -- Probabilistic Modeling of Mobile Agents’ Trajectories -- Real-Time Sensory Pattern Mining for Autonomous Agents -- Data Mining in Agents -- Analyzing Agent-Based Simulations of Inter-organizational Networks -- Clustering in a Multi-Agent Data Mining Environment -- Time-Based Reward Shaping in Real-Time Strategy Games -- Wise Search Engine Based on LSI -- Pattern Recognition in Online Environment by Data Mining Approach -- Agent Mining Applications -- A Multiple System Performance Monitoring Model for Web Services -- Implementing an Open Reference Architecture Based on Web Service Mining for the Integration of Distributed Applications and Multi-Agent Systems -- Minority Game Data Mining for Stock Market Predictions.
520			_aCurrently a plethora of heterogeneous, standalone or web-enabled applications exist providing various functionalities that could be exploited in innumerable contexts for the developmentof personalized agent-basedsolutions for the end user. The integration of these applications in a standard and seamless way to enable content-rich services for the end-user is not generally feasible. The main reason for this is that these app- cations are by nature heterogeneous, developed for different development plat-forms, using different software developmenttechnologies. In this paper we present a reference architecture and support tools designed to address the problem of seamless integration ofheterogeneoussoftwareapplicationsthroughdata mining(DM) onweb service(WS) data (”web service mining”) in order to enhance personalization, pervasiveness and - ?ciency on behalf of agent-based end-user applications. 1 Work presented in this paper is part of a European funded project called OASIS , whose main objective is the implementation of an ontology-driven, open reference - chitecture, which will enable and facilitate interoperability, seamless connectivity and sharing of content between different services and ontologiesin application domains for the elderly and beyond. OASIS promotes new ways to integrate all supported appli- tions into a common environment that enables access to information and content from the existing applications through WS-based software interfaces and content delivery to end-user in a pervasive manner through multi-agent applications. The achievement of this objectiveforms the main motivationof our work that results in a WS mining fra- work for the delivery of personalizedservices to the elderly users througha multi-agent system (MAS).
650		0	_aComputer science.
650		0	_aComputer Communication Networks.
650		0	_aDatabase management.
650		0	_aData mining.
650		0	_aInformation storage and retrieval systems.
650		0	_aInformation systems.
650		0	_aArtificial intelligence.
650	1	4	_aComputer Science.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aInformation Systems Applications (incl.Internet).
650	2	4	_aInformation Storage and Retrieval.
650	2	4	_aDatabase Management.
650	2	4	_aComputer Communication Networks.
650	2	4	_aData Mining and Knowledge Discovery.
700	1		_aBazzan, Ana L. C. _eeditor.
700	1		_aGorodetsky, Vladimir. _eeditor.
700	1		_aMitkas, Pericles A. _eeditor.
700	1		_aWeiss, Gerhard. _eeditor.
700	1		_aYu, Philip S. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642154195
830		0	_aLecture Notes in Computer Science, _x0302-9743 ; _v5980
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-15420-1
596			_a19
942			_cLIBRO_ELEC
999			_c202909 _d202909