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Publicado por Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010
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Añadir al carritoPaperback. Condición: 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.
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Añadir al carritoCondición: 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.
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Añadir al carritoTaschenbuch. Condición: 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).
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Añadir al carritoTaschenbuch. Condición: Neu. Agent Intelligence Through Data Mining | Pericles A. Mitkas (u. a.) | Taschenbuch | xxvi | Englisch | 2011 | Springer | EAN 9781441937247 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoGebunden. Condición: New. Authors prove utilization of data mining to support machine learning tasks in multi-agent systems research confirms the fact that these two technologies are capable of mutual enrichmentThis joint use results in information systems with emergent pr.
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Knowledge, hidden in voluminous data repositories routinely created and maintained by today's applications, 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. This book contains a methodology, tools and techniques, and several examples of agent-based applications developed with this approach. This volume focuses mainly on the use of data mining for smarter, more efficient agents.Agent Intelligence Through Data Mining is designed for a professional audience of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.
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Añadir al carritoTaschenbuch. Condición: Neu. Information Technologies in Environmental Engineering | Proceedings of the 4th International ICSC Symposium Thessaloniki, Greece, May 28-29, 2009 | Ioannis N. Athanasiadis (u. a.) | Taschenbuch | xiii | Englisch | 2010 | Springer | EAN 9783642100017 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoCondición: New. pp. 612, Maps.
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 612 | Sprache: Englisch | Produktart: Bücher | Information technologies have evolved to an enabling science for natural resource management and conservation, environmental engineering, scientific simulation and integrated assessment studies. Computing plays a significant role in every day practices of environmental engineers, natural scientists, economists, and social scientists. The complexity of natural phenomena requires interdisciplinary approaches, where computing science offers the infrastructure for environmental data collection and management, scientific simulations, decision support documentation and reporting.Ecology, environmental engineering and natural resource management comprise an excellent real-world testbed for IT system demonstration, while raising new challenges for computer science. Complexity, uncertainty and scaling issues of natural systems form a demanding application domain for sensor networks and earth observation systems; modelling, simulation and scientific workflows, data management and reporting, decision support and intelligent systems, distributed computing environments, geographical information systems, heterogeneous systems integration, software engineering, accounting systems and control systems.This books offers a collection of papers presented at the 4th International Symposium on Environmental Engineering, held in May 2009, in Thessaloniki, Greece. Recent success stories in ecoinformatics, promising ideas and new challenges are discussed among computer scientists, environmental engineers, economists and social scientists, demonstrating new paradigms for problem solving and decision making.