Agents And Data Mining Interaction

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Agents and Data Mining Interaction

Author : Longbing Cao,Ana L.C. Bazzan,Vladimir Gorodetsky,Pericles A. Mitkas,Gerhard Weiss,Philip S. Yu
Publisher : Springer Science & Business Media
Page : 193 pages
File Size : 55,8 Mb
Release : 2010-09-01
Category : Computers
ISBN : 9783642154195

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Agents and Data Mining Interaction by Longbing Cao,Ana L.C. Bazzan,Vladimir Gorodetsky,Pericles A. Mitkas,Gerhard Weiss,Philip S. Yu Pdf

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.

Agents and Data Mining Interaction

Author : Longbing Cao,Ana L.C. Bazzan,Andreas L. Symeonidis,Vladimir Gorodetsky,Gerhard Weiss,Philip S. Yu
Publisher : Springer Science & Business Media
Page : 368 pages
File Size : 41,6 Mb
Release : 2012-01-09
Category : Computers
ISBN : 9783642276088

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Agents and Data Mining Interaction by Longbing Cao,Ana L.C. Bazzan,Andreas L. Symeonidis,Vladimir Gorodetsky,Gerhard Weiss,Philip S. Yu Pdf

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,Yifeng Zeng,Andreas L. Symeonidis,Vladimir Gorodetsky,Philip S. Yu,Munindar P. Singh
Publisher : Springer
Page : 222 pages
File Size : 46,8 Mb
Release : 2013-01-23
Category : Computers
ISBN : 9783642362880

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Agents and Data Mining Interaction by Longbing Cao,Yifeng Zeng,Andreas L. Symeonidis,Vladimir Gorodetsky,Philip S. Yu,Munindar P. Singh Pdf

This book constitutes the thoroughly refereed post-workshop proceedings of the 8th International Workshop on Agents and Data Mining Interaction, ADMI 2012, held in Valencia, Spain, in June 2012. The 16 revised full papers were carefully reviewed and selected from numerous 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,Yifeng Zeng,Bo An,Andreas L. Symeonidis,Vladimir Gorodetsky,Frans Coenen,Philip S. Yu
Publisher : Springer
Page : 125 pages
File Size : 49,9 Mb
Release : 2015-06-04
Category : Computers
ISBN : 9783319202303

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Agents and Data Mining Interaction by Longbing Cao,Yifeng Zeng,Bo An,Andreas L. Symeonidis,Vladimir Gorodetsky,Frans Coenen,Philip S. Yu Pdf

This book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining Interactions, ADMI 2014, held in Paris, France, in May 2014 as satellite workshop of AAMAS 2014, the 13th International Conference on Autonomous Agents and Multiagent Systems. The 11 papers presented were carefully reviewed and selected from numerous submissions for inclusion in this volume. They present current research and engineering results, as well as potential challenges and prospects encountered in the respective communities and the coupling between agents and data mining.

Agents and Data Mining Interaction

Author : Longbing Cao,A.E. Gorodetsky,Jiming Liu,Gerhard Weiß,Philip S. Yu
Publisher : Springer Science & Business Media
Page : 204 pages
File Size : 46,8 Mb
Release : 2009-07-30
Category : Computers
ISBN : 9783642036033

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Agents and Data Mining Interaction by Longbing Cao,A.E. Gorodetsky,Jiming Liu,Gerhard Weiß,Philip S. Yu Pdf

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.

Agents and Data Mining Interaction

Author : Longbing Cao,Yifeng Zeng,Andreas L. Symeonidis,Vladimir Gorodetsky,Jörg P. Müller,Philip S. Yu
Publisher : Springer
Page : 142 pages
File Size : 45,6 Mb
Release : 2014-04-30
Category : Computers
ISBN : 9783642551925

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Agents and Data Mining Interaction by Longbing Cao,Yifeng Zeng,Andreas L. Symeonidis,Vladimir Gorodetsky,Jörg P. Müller,Philip S. Yu Pdf

This book constitutes the thoroughly refereed and revised selected papers from the 9th International Workshop on Agents and Data Mining Interaction, ADMI 2013, held in Saint Paul, MN, USA in May 2013. The 10 papers presented in this volume were carefully selected for inclusion in the book and are organized in topical sections named agent mining and data mining.

Data Mining and Multi-agent Integration

Author : Longbing Cao
Publisher : Springer Science & Business Media
Page : 335 pages
File Size : 40,6 Mb
Release : 2009-07-25
Category : Computers
ISBN : 9781441905222

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Data Mining and Multi-agent Integration by Longbing Cao Pdf

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.

Agents and Data Mining Interaction

Author : Longbing Cao,Yifeng Zeng,Bo An,Andreas L. Symeonidis,Vladimir Gorodetsky,Frans Coenen,Philip S. Yu
Publisher : Unknown
Page : 128 pages
File Size : 43,5 Mb
Release : 2015
Category : Electronic
ISBN : 3319202316

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Agents and Data Mining Interaction by Longbing Cao,Yifeng Zeng,Bo An,Andreas L. Symeonidis,Vladimir Gorodetsky,Frans Coenen,Philip S. Yu Pdf

This book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining Interactions, ADMI 2014, held in Paris, France, in May 2014 as satellite workshop of AAMAS 2014, the 13th International Conference on Autonomous Agents and Multiagent Systems. The 11 papers presented were carefully reviewed and selected from numerous submissions for inclusion in this volume. They present current research and engineering results, as well as potential challenges and prospects encountered in the respective communities and the coupling between agents and data mining.

Autonomous Intelligent Systems: Multi-Agents and Data Mining

Author : Vladimir Gorodetsky,Chengqi Zhang,Victor Skormin,Longbing Cao
Publisher : Springer
Page : 326 pages
File Size : 48,8 Mb
Release : 2007-07-23
Category : Computers
ISBN : 9783540728399

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Autonomous Intelligent Systems: Multi-Agents and Data Mining by Vladimir Gorodetsky,Chengqi Zhang,Victor Skormin,Longbing Cao Pdf

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.

Domain Driven Data Mining

Author : Longbing Cao,Philip S. Yu,Chengqi Zhang,Yanchang Zhao
Publisher : Springer Science & Business Media
Page : 251 pages
File Size : 55,6 Mb
Release : 2010-01-08
Category : Computers
ISBN : 9781441957375

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Domain Driven Data Mining by Longbing Cao,Philip S. Yu,Chengqi Zhang,Yanchang Zhao Pdf

This book offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain driven, actionable knowledge discovery. It bridges the gap between business expectations and research output.

Agent Intelligence Through Data Mining

Author : Andreas L. Symeonidis,Pericles A. Mitkas
Publisher : Springer Science & Business Media
Page : 216 pages
File Size : 49,9 Mb
Release : 2006-05-06
Category : Computers
ISBN : 9780387257570

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Agent Intelligence Through Data Mining by Andreas L. Symeonidis,Pericles A. Mitkas Pdf

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.

Multi-agent Systems

Author : Jorge Rocha
Publisher : BoD – Books on Demand
Page : 216 pages
File Size : 55,7 Mb
Release : 2017-09-13
Category : Computers
ISBN : 9789535135357

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Multi-agent Systems by Jorge Rocha Pdf

Multi-agent system (MAS) is an expanding field in science and engineering. It merges classical fields like game theory with modern ones like machine learning and computer science. This book provides a succinct introduction to the subject, covering the theoretical fundamentals as well as the latter developments in a coherent and clear manner. The book is centred on practical applications rather than introductory topics. Although it occasionally makes reference to the concepts involved, it will do so primarily to clarify real-world applications. The inner chapters cover a wide spectrum of issues related to MAS uses, which include collision avoidance, automotive applications, evacuation simulation, emergence analyses, cooperative control, context awareness, data (image) mining, resilience enhancement and the management of a single-user multi-robot.

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications

Author : Wang, John
Publisher : IGI Global
Page : 4092 pages
File Size : 49,9 Mb
Release : 2008-05-31
Category : Technology & Engineering
ISBN : 9781599049526

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Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications by Wang, John Pdf

In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

Opinion Analysis in Interactions

Author : Chloe Clavel
Publisher : John Wiley & Sons
Page : 162 pages
File Size : 44,9 Mb
Release : 2019-08-08
Category : Mathematics
ISBN : 9781119649380

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Opinion Analysis in Interactions by Chloe Clavel Pdf

As time goes on, big companies such as Amazon, Microsoft, Google and Apple become increasingly interested in virtual assistants. The interest and development of social robots has put research into affective and social computing at the forefront of the scene. The aim of Opinion Analysis in Interactions is to present methods based on artificial intelligence through a combination of machine learning models and symbolic approaches. Also discussed are natural language processing and affective computing, via the analysis and generation of socio-emotional signals. The book explores the analysis of opinions in human–human interaction and tackles the less-explored (yet crucial) challenges related to the analysis methods of user opinions within the context of human–agent interaction. It also illustrates the implementation of strategies for selecting and generating agent utterances in response to user opinions, and opens up perspectives on the agent’s multimodal generation of utterances that hold attitudes.

Intelligent Agents for Data Mining and Information Retrieval

Author : Masoud Mohammadian
Publisher : IGI Global
Page : 327 pages
File Size : 53,8 Mb
Release : 2004-01-01
Category : Computers
ISBN : 9781591402770

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Intelligent Agents for Data Mining and Information Retrieval by Masoud Mohammadian Pdf

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.