Verlag: Springer Berlin Heidelberg, 2010
ISBN 10: 3642154190 ISBN 13: 9783642154195
Sprache: Englisch
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In den WarenkorbZustand: New. Agents 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 Infor.
Verlag: Springer, Berlin, Springer Berlin Heidelberg, Springer, 2010
ISBN 10: 3642154190 ISBN 13: 9783642154195
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - Currently 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).
Verlag: Springer-Verlag New York Inc, 2010
ISBN 10: 3642154190 ISBN 13: 9783642154195
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 2010 edition. 202 pages. 9.25x6.00x0.50 inches. In Stock.
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In den WarenkorbZustand: New.
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010
ISBN 10: 3642154190 ISBN 13: 9783642154195
Sprache: Englisch
Anbieter: Grand Eagle Retail, Mason, OH, USA
EUR 65,03
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In den WarenkorbPaperback. Zustand: new. Paperback. Currently 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). Constitutes the refereed proceedings of the 6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, held in Toronto, Canada, in May 2010. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.