000			05384nam a22006495i 4500
001			978-3-642-15420-1
003			DE-He213
005			20201213201853.0
007			cr nn 008mamaa
008			100827s2010 gw | s |||| 0|eng d
020			_a9783642154201 _9978-3-642-15420-1
024	7		_a10.1007/978-3-642-15420-1 _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
100	1		_aCao, Longbing. _eeditor.
245	1	0	_aAgents and Data Mining Interaction _h[electronic resource] : _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	_uhttp://dx.doi.org/10.1007/978-3-642-15420-1
912			_aZDB-2-SCS
912			_aZDB-2-LNC
950			_aComputer Science (Springer-11645)
999			_c17008 _d17008