Knowledge Mining Using Intelligent Agents

Author : Satchidananda Dehuri
Publisher : World Scientific
ISBN 13 : 184816386X
Total Pages : 325 pages
Book Rating : 4.67/5 ( download)

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Download or read book Knowledge Mining Using Intelligent Agents written by Satchidananda Dehuri and published by World Scientific. This book was released on 2011 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.). By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data.

Author : Longbing Cao
Publisher : Springer Science & Business Media
ISBN 13 : 1441905227
Total Pages : 335 pages
Book Rating : 4.22/5 ( download)

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Download or read book Data Mining and Multi-agent Integration written by Longbing Cao and published by Springer Science & Business Media. This book was released on 2009-07-25 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining and Multi agent Integration aims to re?ect state of the art research and development of agent mining interaction and integration (for short, agent min ing). The book was motivated by increasing interest and work in the agents data min ing, and vice versa. The interaction and integration comes about from the intrinsic challenges faced by agent technology and data mining respectively; for instance, multi agent systems face the problem of enhancing agent learning capability, and avoiding the uncertainty of self organization and intelligence emergence. Data min ing, if integrated into agent systems, can greatly enhance the learning skills of agents, and assist agents with predication of future states, thus initiating follow up action or intervention. The data mining community is now struggling with mining distributed, interactive and heterogeneous data sources. Agents can be used to man age such data sources for data access, monitoring, integration, and pattern merging from the infrastructure, gateway, message passing and pattern delivery perspectives. These two examples illustrate the potential of agent mining in handling challenges in respective communities. There is an excellent opportunity to create innovative, dual agent mining interac tion and integration technology, tools and systems which will deliver results in one new technology.

Author : Andreas L. Symeonidis
Publisher : Springer Science & Business Media
ISBN 13 : 0387257578
Total Pages : 216 pages
Book Rating : 4.70/5 ( download)

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Download or read book Agent Intelligence Through Data Mining written by Andreas L. Symeonidis and published by Springer Science & Business Media. This book was released on 2006-05-06 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. Following a brief review of data mining and agent technology fields, the book presents a methodology for developing multi-agent systems, describes available open-source tools, and demonstrates the application of the methodology on three different cases.

Author : Masoud Mohammadian
Publisher : IGI Global
ISBN 13 : 1591401941
Total Pages : 327 pages
Book Rating : 4.40/5 ( download)

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Download or read book Intelligent Agents for Data Mining and Information Retrieval written by Masoud Mohammadian and published by IGI Global. This book was released on 2004-01-01 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a large increase in the amount of information available on World Wide Web and also in number of online databases. This information abundance increases the complexity of locating relevant information. Such a complexity drives the need for improved and intelligent systems for search and information retrieval. Intelligent agents are currently used to improve the search and retrieval information on World Wide Web. The use of existing search and retrieval engines with the addition of intelligent agents allows a more comprehensive search with a performance that can be measured. Intelligent Agents for Data Mining and Information Retrieval discusses the foundation as well as the practical side of intelligent agents and their theory and applications for web data mining and information retrieval. The book can used for researchers at the undergraduate and post-graduate levels as well as a reference of the state-of-art for cutting edge researchers.

Author : Ning Zhong
Publisher : World Scientific
ISBN 13 : 9789812811042
Total Pages : 540 pages
Book Rating : 4.44/5 ( download)

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Download or read book Intelligent Agent Technology written by Ning Zhong and published by World Scientific. This book was released on 2001 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is an attempt to capture the essence of the state-of-the-art of intelligent agent technology and to identify the new challenges and opportunities that it is or will be facing. The most important feature of the volume is that it emphasizes a multi-faceted, holistic view of this emerging technology, from its computational foundations OCo in terms of models, methodologies, and tools for developing a variety of embodiments of agent-based systems OCo to its practical impact on tackling real-world problems. Contents: Formal Agent Theories; Computational Architecture and Infrastructure; Learning and Adaptation; Knowledge Discovery and Data Mining Agents; Distributed Intelligence; Agent Based Applications. Readership: Graduate students in computer science and engineering, academics/lecturers, researchers, software/systems engineers, IT engineers and industrialists."

Author : Ning Zhong
Publisher : Springer Science & Business Media
ISBN 13 : 3662079526
Total Pages : 724 pages
Book Rating : 4.22/5 ( download)

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Download or read book Intelligent Technologies for Information Analysis written by Ning Zhong and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Information Technology (iiT) encompasses the theories and ap plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par ticular, advances in agents, data mining, and learning theory, from both the oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples.

Author : Longbing Cao
Publisher : Springer Science & Business Media
ISBN 13 : 3642036031
Total Pages : 204 pages
Book Rating : 4.33/5 ( download)

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Download or read book Agents and Data Mining Interaction written by Longbing Cao and published by Springer Science & Business Media. This book was released on 2009-07-30 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: The2009InternationalWorkshoponAgentsandDataMiningInteraction(ADMI 2009) was a joint event with AAMAS2009. In recentyears,agents and data mining interaction (ADMI), or agent mining forshort,hasemergedasaverypromisingresearch?eld. Followingthesuccessof ADMI 2006 in Hong Kong, ADMI 2007 in San Jose, and ADMI 2008 in Sydney, the ADMI 2009 workshop in Budapest provided a premier forum for sharing research and engineering results, as well as potential challenges and prospects encountered in the synergy between agents and data mining. As usual, the ADMI workshop encouraged and promoted theoretical and applied research and development, which aims at: – Exploitingagent-drivendatamininganddemonstratinghowintelligentagent technology can contribute to critical data mining problems in theory and practice – Improving data mining-driven agents and showing how data mining can strengthen agent intelligence in research and practical applications – Exploring the integration of agents and data mining toward a super-intelligent information processing and systems – Identifying challenges and directions for future research on the synergy between agents and data mining ADMI 2009 featured two invited talks and twelve selected papers. The ?rst invited talk was on “Agents and Data Mining in Bioinformatics,” with the s- ond focusing on “Knowledge-Based Reinforcement Learning. ” The ten accepted papers are from seven countries. A majority of submissions came from Eu- pean countries, indicating the boom of ADMI research in Europe. In addition the two invited papers, addressed fundamental issues related to agent-driven data mining, data mining-driven agents, and agent mining applications. The proceedings of the ADMI workshops will be published as part of the LNAIseriesbySpringer. WeappreciatethesupportofSpringer,andinparticular Alfred Hofmann.

Author : Masoud Mohammadian
Publisher : IGI Global
ISBN 13 : 1591402778
Total Pages : 327 pages
Book Rating : 4.70/5 ( download)

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Download or read book Intelligent Agents for Data Mining and Information Retrieval written by Masoud Mohammadian and published by IGI Global. This book was released on 2004-01-01 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a large increase in the amount of information available on World Wide Web and also in number of online databases. This information abundance increases the complexity of locating relevant information. Such a complexity drives the need for improved and intelligent systems for search and information retrieval. Intelligent Agents are currently used to improve the search and retrieval information on World Wide Web. The use of existing search and retrieval engines with the addition of intelligent agents allows a more comprehensive search with a performance that can be measured. Intelligent Agents for Mining and Information Retrieval discusses the foundation as well as the pratical side of intelligent agents and their theory and applications for web data mining and information retrieval. The book can used for researchers at the undergraduate and post-graduate levels as well as a reference of the state-of-art for cutting edge researchers.

Author : De-Shuang Huang
Publisher : Springer
ISBN 13 : 3319093398
Total Pages : 883 pages
Book Rating : 4.90/5 ( download)

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Download or read book Intelligent Computing Methodologies written by De-Shuang Huang and published by Springer. This book was released on 2014-07-05 with total page 883 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book – in conjunction with the volumes LNCS 8588 and LNBI 8590 – constitutes the refereed proceedings of the 10th International Conference on Intelligent Computing, ICIC 2014, held in Taiyuan, China, in August 2014. The 85 papers of this volume were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections such as soft computing; artificial bee colony algorithms; unsupervised learning; kernel methods and supporting vector machines; machine learning; fuzzy theory and algorithms; image processing; intelligent computing in computer vision; intelligent computing in communication networks; intelligent image/document retrievals; intelligent data analysis and prediction; intelligent agent and Web applications; intelligent fault diagnosis; knowledge representation/reasoning; knowledge discovery and data mining; natural language processing and computational linguistics; next gen sequencing and metagenomics; intelligent computing in scheduling and engineering optimization; advanced modeling, control and optimization techniques for complex engineering systems; complex networks and their applications; time series forecasting and analysis using artificial neural networks; computer human interaction using multiple visual cues and intelligent computing; biometric system and security for intelligent computing.

Author : Vladimir Gorodetsky
Publisher : Springer Science & Business Media
ISBN 13 : 3540261648
Total Pages : 313 pages
Book Rating : 4.43/5 ( download)

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Download or read book Autonomous Intelligent Systems: Agents and Data Mining written by Vladimir Gorodetsky and published by Springer Science & Business Media. This book was released on 2005-05-30 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Workshop on Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2005, held in St. Petersburg, Russia in June 2005. The 17 revised full papers presented together with 5 invited papers and the abstract of an invited talk were carefully reviewed and selected from 29 submissions. The papers are organized in topical sections on agent-based data mining issues, ontologies and Web mining, and applications and case studies.