Descripción del título

"This book offers a self-contained overview of a relatively young but important area of research: the intersection of agent technology and data mining. This intersection leads to considerable advancements in the area of information technologies, drawing the increasing attention of both research and industrial communities. It can take two forms: a)the use of data mining for smarter, more efficient agents. The second approach is the main focus of this volume. Following a brief review of data mining and agent technology fields, this book presents a methodology for developing multi-agent systems, describes available open-source tools to support this process, and demonstrates the application of the methodology on three different cases." "This book is designed for a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science."--Jacket
Monografía
monografia Rebiun35593227 https://catalogo.rebiun.org/rebiun/record/Rebiun35593227 m o d cr |n||||||||| 050404s2005 nyua ob 001 0 eng c 2005044155 213345359 213886751 228149523 228149524 228378507 262680024 320958919 437183605 647550763 696254940 698450638 756418817 814305255 823124053 824158545 988822867 992054930 994847321 1001413416 1005781387 1011930821 1022010782 1035657639 1039698865 1044134804 1044169638 1047531123 1058042211 1060705473 1066602843 1067029033 1077256460 1078851125 1078866720 1089421103 1091736344 1097301556 1097334448 1097705526 1102281057 1110736107 1110924980 1112537767 1125438643 1136333328 1148155832 1156921906 1391784518 1409111232 0387243526 alk. paper) 9780387243528 alk. paper) 0387257578 9780387257570 6610263388 9786610263387 9780387257570 (electronic bk.) 9780387243528 10.1007/b136000 doi AU@ 000042136532 AU@ 000042692689 AU@ 000044593234 AU@ 000048754328 DEBSZ 396128025 DEBSZ 430416334 NLGGC 291404227 NZ1 12050371 NZ1 13073956 NZ1 13707904 978-0-387-24352-8 Springer http://www.springerlink.com COO eng pn COO N$T GW5XE UAB CNTRU OCLCQ IDEBK OCLCQ TUU OCLCQ YNG E7B DKDLA EBLCP OCLCO OCLCQ A7U OCLCQ NLGGC OCLCE OCLCF DEBSZ BEDGE OCLCQ YDXCP ORU OCLCQ Z5A PIFBR OTZ OCLCQ VT2 WY@ LUE STF OCLCQ CEF EZ9 OCLCQ AU@ WYU ICG UWO YOU CANPU OCLCQ U3W UX1 AUD OCLCQ ZHM DCT ERF OCLCQ SFB OCLCO ANO OCLCQ LDP BRX OCLCQ OCLCO INARC pcc dlr COM 005030 bisacsh COM 004000 bisacsh UYQ bicssc TJFM1 bicssc Symeonidis, Andreas L. Agent intelligence through data mining by Andreas L. Symeonidis, Pericles A. Mitkas New York Springer 2005 New York New York Springer 1 online resource (xxiii, 200 pages) illustrations 1 online resource (xxiii, 200 pages) Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF Multiagent systems, artificial societies, and simulated organizations 14 Includes bibliographical references (pages 189-198) and index Cover -- Table of Contents -- List of Figures -- List of Tables -- Foreword -- Preface -- Acknowledgments -- Part I Concepts and Techniques -- 1. INTRODUCTION -- 1 The Quest for Knowledge -- 2 Problem Description -- 3 Related Bibliography -- 4 Scope of the Book -- 5 Contents of the Book -- 6 How to Read this Book -- 2. DATA MINING AND KNOWLEDGE DISCOVERY: A BRIEF OVERVIEW -- 1 History and Motivation -- 2 Data Preprocessing -- 3 Classification and Prediction -- 4 Clustering -- 5 Association Rule Extraction -- 6 Evolutionary Data Mining Algorithms -- 7 Chapter review -- 3. INTELLIGENT AGENTS AND MULTI-AGENT SYSTEMS -- 1 Intelligent Agents -- 2 Multi-Agent Systems -- Part II Methodology -- 4. EXPLOITING DATA MINING ON MAS -- 1 Introduction -- 2 MAS Development Tools -- 3 Agent Academy -- 5. COUPLING DATA MINING WITH INTELLIGENT AGENTS -- 1 The Unified Methodology -- 2 Data Miner: A Tool for Training and Retraining Agents -- Part III Knowledge Diffusion: Three Representative Test Cases -- 6. DATA MINING ON THE APPLICATION LEVEL OF A MAS -- 1 Enterprise Resource Planning Systems -- 2 The Generalized Framework -- 3 An IRF Demonstrator -- 4 Conclusions -- 7. MINING AGENT BEHAVIORS -- 1 Predicting Agent Behavior -- 2 A Recommendation Engine Demonstrator -- 3 Experimental Results -- 4 Conclusions -- 8. MINING KNOWLEDGE FOR AGENT COMMUNITIES -- 1 Ecosystem Simulation -- 2 An Overview of Biotope -- 3 The Implemented Prototype -- 4 Experimental Results -- 5 Conclusions -- Part IV Extensions ... -- 9. AGENT RETRAINING AND DYNAMICAL IMPROVEMENT OF AGENT INTELLIGENCE -- 1 Formal Model -- 2 Retraining in the Case of Classification Techniques -- 3 Retraining in the Case of Clustering Techniques -- 4 Retraining in the Case of Association Rule Extraction Techniques -- 5 Retraining in the Case of Genetic Algorithms -- 6 Experimental Results -- 7 Conclusions -- 10. AREAS OF APPLICATION & FUTURE DIRECTIONS -- 1 Areas of Application -- 2 Advanced AT-DM Symbiosis Architectures -- 3 Summary and Conclusions -- 4 Open Issues and Future Directions -- References -- Index Use copy. Restrictions unspecified star. MiAaHDL Access is restricted to subscribing institutions "This book offers a self-contained overview of a relatively young but important area of research: the intersection of agent technology and data mining. This intersection leads to considerable advancements in the area of information technologies, drawing the increasing attention of both research and industrial communities. It can take two forms: a)the use of data mining for smarter, more efficient agents. The second approach is the main focus of this volume. Following a brief review of data mining and agent technology fields, this book presents a methodology for developing multi-agent systems, describes available open-source tools to support this process, and demonstrates the application of the methodology on three different cases." "This book is designed for a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science."--Jacket Electronic reproduction. [Place of publication not identified] HathiTrust Digital Library 2011. MiAaHDL Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL digitized 2011 HathiTrust Digital Library committed to preserve pda MiAaHDL Data mining Intelligent agents (Computer software) Data mining Exploration de données (Informatique) Agents intelligents (Logiciels) COMPUTERS- Enterprise Applications- Business Intelligence Tools COMPUTERS- Intelligence (AI) & Semantics Informatique Data mining Intelligent agents (Computer software) Mitkas, Pericles A. Springer e-books Springer e-books Print version Symeonidis, Andreas L. Agent intelligence through data mining. New York : Springer, 2005 0387243526 0387257578 (DLC) 2005044155 (OCoLC)58919872 Multiagent systems, artificial societies, and simulated organizations 14