Autonomous Intelligent Systems: Agents and Data Mining

Autonomous Intelligent Systems: Agents and Data Mining PDF Author: Vladimir Gorodetsky
Publisher: Springer Science & Business Media
ISBN: 3540261648
Category : Computers
Languages : en
Pages : 313

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Book Description
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.

Autonomous Intelligent Systems: Agents and Data Mining

Autonomous Intelligent Systems: Agents and Data Mining PDF Author: Vladimir Gorodetsky
Publisher: Springer Science & Business Media
ISBN: 3540261648
Category : Computers
Languages : en
Pages : 313

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Book Description
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.

Agent Intelligence Through Data Mining

Agent Intelligence Through Data Mining PDF Author: Andreas L. Symeonidis
Publisher: Springer Science & Business Media
ISBN: 0387257578
Category : Computers
Languages : en
Pages : 216

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Book Description
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.

Autonomous Intelligent Systems: Multi-Agents and Data Mining

Autonomous Intelligent Systems: Multi-Agents and Data Mining PDF Author: Vladimir Gorodetsky
Publisher: Springer
ISBN: 3540728392
Category : Computers
Languages : en
Pages : 334

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Book Description
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.

Autonomous Intelligent Systems: Agents and Data Mining

Autonomous Intelligent Systems: Agents and Data Mining PDF Author: Vladimir Gorodetsky
Publisher: Springer
ISBN: 3540319328
Category : Computers
Languages : en
Pages : 313

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Book Description
This volume contains the papers presented at the International Workshop Autonomous Intelligent Systems: Agents and Data Mining (AIS-ADM 2005) held in St. Petersburg, Russia, during June 6–8, 2005.

Data Mining and Multi-agent Integration

Data Mining and Multi-agent Integration PDF Author: Longbing Cao
Publisher: Springer Science & Business Media
ISBN: 1441905227
Category : Computers
Languages : en
Pages : 335

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Book Description
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.

Metasynthetic Computing and Engineering of Complex Systems

Metasynthetic Computing and Engineering of Complex Systems PDF Author: Longbing Cao
Publisher: Springer
ISBN: 1447165519
Category : Computers
Languages : en
Pages : 360

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Book Description
Provides a comprehensive overview and introduction to the concepts, methodologies, analysis, design and applications of metasynthetic computing and engineering. The author: • Presents an overview of complex systems, especially open complex giant systems such as the Internet, complex behavioural and social problems, and actionable knowledge discovery and delivery in the big data era. • Discusses ubiquitous intelligence in complex systems, including human intelligence, domain intelligence, social intelligence, network intelligence, data intelligence and machine intelligence, and their synergy through metasynthetic engineering. • Explains the concept and methodology of human-centred, human-machine-cooperated qualitative-to-quantitative metasynthesis for understanding and managing open complex giant systems, and its computing approach: metasynthetic computing. • Introduces techniques and tools for analysing and designing problem-solving systems for open complex problems and systems. Metasynthetic Computing and Engineering uses the systematology methodology in addressing system complexities in open complex giant systems, for which it may not only be effective to apply reductionism or holism. The book aims to encourage and inspire discussions, design, implementation and reflection of effective methodologies and tools for computing and engineering open complex systems and problems. Researchers, research students and practitioners in complex systems, artificial intelligence, data science, computer science, and even system science, cognitive science, behaviour science, and social science, will find this book invaluable.

Data Science Thinking

Data Science Thinking PDF Author: Longbing Cao
Publisher: Springer
ISBN: 3319950924
Category : Computers
Languages : en
Pages : 404

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Book Description
This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.

Multi-agent Systems

Multi-agent Systems PDF Author: Jorge Rocha
Publisher: BoD – Books on Demand
ISBN: 953513535X
Category : Computers
Languages : en
Pages : 216

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Book Description
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.

Developments and Trends in Intelligent Technologies and Smart Systems

Developments and Trends in Intelligent Technologies and Smart Systems PDF Author: Sugumaran, Vijayan
Publisher: IGI Global
ISBN: 1522536876
Category : Computers
Languages : en
Pages : 374

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Book Description
Due to the exponential rise of emerging technology, there have been significant developments in intelligent systems. This has facilitated increasing opportunities for new applications and improvements. Developments and Trends in Intelligent Technologies and Smart Systems is a critical source of scholarly material on the design, implementation, and integration of intelligent applications across numerous industries. Highlighting a range of innovative topics such as enterprise modeling, remote patient monitoring, and service-oriented architecture, this book is ideally designed for researchers, engineers, computer scientists, academics, students, and professionals interested in the latest applications of intelligent technologies.

Domain Driven Data Mining

Domain Driven Data Mining PDF Author: Longbing Cao
Publisher: Springer Science & Business Media
ISBN: 1441957375
Category : Computers
Languages : en
Pages : 251

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Book Description
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.