Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207483804 ISBN 13: 9786207483808
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207483804 ISBN 13: 9786207483808
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Complete Guide to Multi-Agent Systems | A Multiagent Knowledge Based Framework in Web Mining | Arshad Ali (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207483808 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Apr 2024, 2024
ISBN 10: 6207483804 ISBN 13: 9786207483808
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 220 pp. Englisch.
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ISBN 10: 6207483804 ISBN 13: 9786207483808
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The growing importance of web mining and the increasing complexity of the information available on the web necessitate the development of advanced knowledge representation and management frameworks. In this book, we present an analysis and design of a knowl.
Lingua: Inglese
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ISBN 10: 6207483804 ISBN 13: 9786207483808
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Editore: LAP LAMBERT Academic Publishing Apr 2024, 2024
ISBN 10: 6207483804 ISBN 13: 9786207483808
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The growing importance of web mining and the increasing complexity of the information available on the web necessitate the development of advanced knowledge representation and management frameworks. In this book, we present an analysis and design of a knowledge-based framework tailored specifically for a multi-agent system operating in the domain of web mining. The proposed framework aims to facilitate efficient extraction, integration, and utilization of knowledge from diverse web sources by employing a distributed and collaborative approach. The analysis phase of this book focuses on understanding the requirements and challenges associated with web mining in a multi-agent system. We examine various web mining techniques and identify the key components and functionalities required for an effective knowledge-based framework. Additionally, we investigate the characteristics of multi-agent systems and their suitability for web mining tasks. Based on the insights gained from the analysis, we proceed to the design phase, where we outline a comprehensive architecture for the knowledge-based framework.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 220 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207483804 ISBN 13: 9786207483808
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The growing importance of web mining and the increasing complexity of the information available on the web necessitate the development of advanced knowledge representation and management frameworks. In this book, we present an analysis and design of a knowledge-based framework tailored specifically for a multi-agent system operating in the domain of web mining. The proposed framework aims to facilitate efficient extraction, integration, and utilization of knowledge from diverse web sources by employing a distributed and collaborative approach. The analysis phase of this book focuses on understanding the requirements and challenges associated with web mining in a multi-agent system. We examine various web mining techniques and identify the key components and functionalities required for an effective knowledge-based framework. Additionally, we investigate the characteristics of multi-agent systems and their suitability for web mining tasks. Based on the insights gained from the analysis, we proceed to the design phase, where we outline a comprehensive architecture for the knowledge-based framework.