Intelligent Agents For Data Mining And Information Retrieval

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Intelligent Agents for Data Mining and Information Retrieval

Author : Masoud Mohammadian
Publisher : IGI Global
ISBN 13 : 1591401941
Total Pages : 327 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Intelligent Agents for Data Mining and Information Retrieval by : Masoud Mohammadian

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.

Agents and Data Mining Interaction

Author : Longbing Cao
Publisher : Springer Science & Business Media
ISBN 13 : 3642276083
Total Pages : 368 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Agents and Data Mining Interaction by : Longbing Cao

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 2012-01-09 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the 7th International Workshop on Agents and Data Mining Interaction, ADMI 2011, held in Taipei, Taiwan, in May 2011 in conjunction with AAMAS 2011, the 10th International Joint Conference on Autonomous Agents and Multiagent Systems. The 11 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on agents for data mining; data mining for agents; and agent mining applications.

Agents and Data Mining Interaction

Author : Longbing Cao
Publisher : Springer
ISBN 13 : 3642154204
Total Pages : 192 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Agents and Data Mining Interaction by : Longbing Cao

Download or read book Agents and Data Mining Interaction written by Longbing Cao and published by Springer. This book was released on 2010-08-27 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation. This book constitutes the refereed proceedings of the 6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, held in Toronto, Canada, in May 2010. The 15 revised full papers presented were carefully reviewed and selected from 37 submissions. The papers are organized in topical sections on agents for data mining; data mining for agents; data mining in agents; and agent mining applications.

Agent Intelligence Through Data Mining

Author : Andreas L. Symeonidis
Publisher : Springer Science & Business Media
ISBN 13 : 0387257578
Total Pages : 216 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Agent Intelligence Through Data Mining by : Andreas L. Symeonidis

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.

Intelligent Technologies for Information Analysis

Author : Ning Zhong
Publisher : Springer Science & Business Media
ISBN 13 : 3662079526
Total Pages : 724 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Intelligent Technologies for Information Analysis by : Ning Zhong

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.

Intelligent Data Engineering and Automated Learning - IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents

Author : Kwong S. Leung
Publisher : Springer Science & Business Media
ISBN 13 : 3540414509
Total Pages : 576 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Intelligent Data Engineering and Automated Learning - IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents by : Kwong S. Leung

Download or read book Intelligent Data Engineering and Automated Learning - IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents written by Kwong S. Leung and published by Springer Science & Business Media. This book was released on 2000-11-29 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000, held in Shatin, N.T., Hong Kong, China in December 2000. The 81 revised papers presented were carefully reviewed and selected from numerous submissions. The book is divided in topical sections on data mining and automated learning, financial engineering, intelligent agents, Internet applications, multimedia processing, and genetic programming.

Autonomous Intelligent Systems: Agents and Data Mining

Author : Vladimir Gorodetsky
Publisher : Springer Science & Business Media
ISBN 13 : 3540261648
Total Pages : 313 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Autonomous Intelligent Systems: Agents and Data Mining by : Vladimir Gorodetsky

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.

Intelligent Information Agents

Author : Matthias Klusch
Publisher : Springer
ISBN 13 : 3540365613
Total Pages : 278 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Intelligent Information Agents by : Matthias Klusch

Download or read book Intelligent Information Agents written by Matthias Klusch and published by Springer. This book was released on 2003-07-01 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents 10 chapters on various aspects of intelligent information agents contributed by members of the respective AgentLink special interest group. The papers are organized in three parts on agent-based information systems, adaptive information agents, and coordination of information agents. Also included are a comprehensive introduction and surveys for each of the three parts.

Information Retrieval and Mining in Distributed Environments

Author : Alessandro Soro
Publisher : Springer
ISBN 13 : 3642160891
Total Pages : 290 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Information Retrieval and Mining in Distributed Environments by : Alessandro Soro

Download or read book Information Retrieval and Mining in Distributed Environments written by Alessandro Soro and published by Springer. This book was released on 2010-10-08 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: At DART'09, held in conjunction with the 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2009) and Intelligent Agent Technology (IAT 2009) in Milan (Italy), practitioners and researchers working on pervasive and intelligent access to web services and distributed information retrieval met to compare their work ad insights in such fascinating topics. Extended and revised versions of their papers, together with selected and invited original contributions, are collected in this book. Topics covered are those that emerged at DART'09 as the most intriguing and challenging: (i) community oriented tools and techniques as infrastructure of the Web 2.0; (ii) agent technology applied to virtual world scenarios; (iii) context aware information retrieval; (iv) content based information retrieval; and (v) industrial applications of information retrieval. Every chapter, before discussing in depth the specific topic, presents a comprehensive review of related work and state of the art, in the hope of this volume to be of use in the years to come, to both researchers and students.

Intelligent Data Engineering and Automated Learning – IDEAL 2008

Author : Colin Fyfe
Publisher : Springer
ISBN 13 : 354088906X
Total Pages : 534 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Intelligent Data Engineering and Automated Learning – IDEAL 2008 by : Colin Fyfe

Download or read book Intelligent Data Engineering and Automated Learning – IDEAL 2008 written by Colin Fyfe and published by Springer. This book was released on 2008-11-04 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: IDEAL 2008 was the ninth IDEAL conference to take place; earlier editions were held in Hong Kong, the UK, Australia and Spain. This was the first time, though hopefully not the last time, that it took place in Daejeon, South Korea, during November 2–5, 2008. As the name suggests, the conference attracts researchers who are involved in either data engineering or learning or, increasingly, both. The former topic involves such aspects as data mining (or intelligent knowledge discovery from databases), infor- tion retrieval systems, data warehousing, speech/image/video processing, and mul- media data analysis. There has been a traditional strand of data engineering at IDEAL conferences which has been based on financial data management such as fraud det- tion, portfolio analysis, prediction and so on. This has more recently been joined by a strand devoted to bioinformatics, particularly neuroinformatics and gene expression analysis. Learning is the other major topic for these conferences and this is addressed by - searchers in artificial neural networks, machine learning, evolutionary algorithms, artificial immune systems, ant algorithms, probabilistic modelling, fuzzy systems and agent modelling. The core of all these algorithms is adaptation.

Autonomous Intelligent Systems: Multi-Agents and Data Mining

Author : Vladimir Gorodetsky
Publisher : Springer
ISBN 13 : 3540728392
Total Pages : 326 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Autonomous Intelligent Systems: Multi-Agents and Data Mining by : Vladimir Gorodetsky

Download or read book Autonomous Intelligent Systems: Multi-Agents and Data Mining written by Vladimir Gorodetsky and published by Springer. This book was released on 2007-07-23 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2007, held in St. Petersburg, Russia in June 2007. The 17 revised full papers and six revised short papers presented together with four invited lectures cover agent and data mining, agent competition and data mining, as well as text mining, semantic Web, and agents.

Foundations of Intelligent Systems

Author : Floriana Esposito
Publisher : Springer
ISBN 13 : 3319252526
Total Pages : 466 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Foundations of Intelligent Systems by : Floriana Esposito

Download or read book Foundations of Intelligent Systems written by Floriana Esposito and published by Springer. This book was released on 2015-11-02 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 22nd International Symposium on Methodologies for Intelligent Systems, ISMIS 2015, held in Lyon, France, in October 2015. The 31 revised full papers presented together with 18 short papers were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on data mining methods; databases, information retrieval, recommender systems; machine learning; knowledge representation, semantic web; emotion recognition, music information retrieval; network analysis, multi-agent systems; applications; planning, classification; and textual data analysis and mining.

Intelligent Information and Database Systems

Author : Jeng-Shyang Pan
Publisher : Springer
ISBN 13 : 3642284906
Total Pages : 575 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Intelligent Information and Database Systems by : Jeng-Shyang Pan

Download or read book Intelligent Information and Database Systems written by Jeng-Shyang Pan and published by Springer. This book was released on 2012-03-14 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNAI 7196, LNAI 7197 and LNAI 7198 constitutes the refereed proceedings of the 4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012, held in Kaohsiung, Taiwan in March 2012. The 161 revised papers presented were carefully reviewed and selected from more than 472 submissions. The papers included cover the following topics: intelligent database systems, data warehouses and data mining, natural language processing and computational linguistics, semantic Web, social networks and recommendation systems, collaborative systems and applications, e-bussiness and e-commerce systems, e-learning systems, information modeling and requirements engineering, information retrieval systems, intelligent agents and multi-agent systems, intelligent information systems, intelligent internet systems, intelligent optimization techniques, object-relational DBMS, ontologies and knowledge sharing, semi-structured and XML database systems, unified modeling language and unified processes, Web services and semantic Web, computer networks and communication systems.

Data Mining and Multi-agent Integration

Author : Longbing Cao
Publisher : Springer Science & Business Media
ISBN 13 : 1441905227
Total Pages : 334 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Data Mining and Multi-agent Integration by : Longbing Cao

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 334 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.

Foundations of Intelligent Systems

Author : Troels Andreasen
Publisher : Springer
ISBN 13 : 3319083260
Total Pages : 568 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Foundations of Intelligent Systems by : Troels Andreasen

Download or read book Foundations of Intelligent Systems written by Troels Andreasen and published by Springer. This book was released on 2014-06-03 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 21st International Symposium on Methodologies for Intelligent Systems, ISMIS 2014, held in Roskilde, Denmark, in June 2014. The 61 revised full papers were carefully reviewed and selected from 111 submissions. The papers are organized in topical sections on complex networks and data stream mining; data mining methods; intelligent systems applications; knowledge representation in databases and systems; textual data analysis and mining; special session: challenges in text mining and semantic information retrieval; special session: warehousing and OLAPing complex, spatial and spatio-temporal data; ISMIS posters.

Information Extraction in the Web Era

Author : Maria Teresa Pazienza
Publisher : Springer
ISBN 13 : 3540450920
Total Pages : 166 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Information Extraction in the Web Era by : Maria Teresa Pazienza

Download or read book Information Extraction in the Web Era written by Maria Teresa Pazienza and published by Springer. This book was released on 2003-09-09 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: The revised versions of lectures given at the Summer Convention on Information Extraction, SCIE 2002, held in Frascati, Italy in July 2002. The following lectures by leading authorities in the field of information extraction are included: - acquisition of domain knowledge - terminology mining - finite-state approaches to Web IE - measuring term representatives - agent-based ontological mediation in IE systems - information retrieval and IE in question answering systems - natural language communication with virtual actors

Knowledge Mining Using Intelligent Agents

Author : Satchidananda Dehuri
Publisher : World Scientific
ISBN 13 : 1908978449
Total Pages : 324 pages
Book Rating : 4.9/5 (89 download)

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Book Synopsis Knowledge Mining Using Intelligent Agents by : Satchidananda Dehuri

Download or read book Knowledge Mining Using Intelligent Agents written by Satchidananda Dehuri and published by World Scientific. This book was released on 2010-12-21 with total page 324 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. Contents: Theoretical Foundations of Knowledge Mining and Intelligent Agent (S Dehuri & S-B Cho)The Use of Evolutionary Computation in Knowledge Discovery: The Example of Intrusion Detection Systems (S X Wu & W Banzhaf)Evolution of Neural Network and Polynomial Network (B B Misra et al.)Design of Alloy Steels Using Multi-Objective Optimization (M Chen et a.)An Extended Bayesian/HAPSO Intelligent Method in Intrusion Detection System (S Dehuri & S Tripathy)Mining Knowledge from Network Intrusion Data Using Data Mining Techniques (M Panda & M R Patra)Particle Swarm Optimization for Multi-Objective Optimal Operational Planning of Energy Plants (Y Fukuyama et al.)Soft Computing for Feature Selection (A K Jagadev et al.)Optimized Polynomial Fuzzy Swarm Net for Classification (B B Misra et al.)Software Testing Using Genetic Algorithms (M Ray & D P Mohapatra) Readership: Researchers and professionals in the knowledge discovery industry. Keywords:Intelligent Agent;Knowledge Mining;Data Mining;Knowledge Discovery;Computational Intelligence;Swarm Intelligence;Evolutionary ComputationKey Features:Addresses the various issues/problems of knowledge discovery, data mining tasks and the various design challenges by the use of different intelligent agents technologiesCovers new and unique intelligent agents techniques (computational intelligence + swarm intelligence) for knowledge discovery in databases and data mining to solve the tasks of different phases of knowledge discoveryHighlights data pre-processing for knowledge mining and post-processing of knowledge that is ignored by most of the authorsConsists of a collection of well-organized chapters written by prospective authors who are actively engaged in this active area of research