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Computational Web Intelligence

Computational Web Intelligence PDF Author: Yan-Qing Zhang
Publisher: World Scientific
ISBN: 9812388273
Category : Computers
Languages : en
Pages : 584

Book Description
- The book completely introduces the intelligent Web techniques based on soft computing, granular computing, computational intelligence, and Web technology for different intelligent Web applications - The first book to introduce the novel intelligent Web theory (computational Web intelligence) with many potential intelligent Web applications - The book introduces CWI techniques for currently hot and important applications such as Web security, Internet security, bioinformatics, Web search engines, Web mining, e-commerce, intelligent Web agents, etc.

Computational Web Intelligence

Computational Web Intelligence PDF Author: Yan-Qing Zhang
Publisher: World Scientific
ISBN: 9812388273
Category : Computers
Languages : en
Pages : 584

Book Description
- The book completely introduces the intelligent Web techniques based on soft computing, granular computing, computational intelligence, and Web technology for different intelligent Web applications - The first book to introduce the novel intelligent Web theory (computational Web intelligence) with many potential intelligent Web applications - The book introduces CWI techniques for currently hot and important applications such as Web security, Internet security, bioinformatics, Web search engines, Web mining, e-commerce, intelligent Web agents, etc.

Advanced Techniques in Web Intelligence-2

Advanced Techniques in Web Intelligence-2 PDF Author: Juan D. Velásquez
Publisher: Springer
ISBN: 3642333265
Category : Technology & Engineering
Languages : en
Pages : 184

Book Description
This research volume focuses on analyzing the web user browsing behaviour and preferences in traditional web-based environments, social networks and web 2.0 applications, by using advanced techniques in data acquisition, data processing, pattern extraction and cognitive science for modeling the human actions. The book is directed to graduate students, researchers/scientists and engineers interested in updating their knowledge with the recent trends in web user analysis, for developing the next generation of web-based systems and applications.

Advanced Techniques in Web Intelligence -1

Advanced Techniques in Web Intelligence -1 PDF Author: Juan D. Velásquez
Publisher: Springer Science & Business Media
ISBN: 3642144608
Category : Computers
Languages : en
Pages : 278

Book Description
This book introduces a research applications in Web intelligence. It presents a number of innovative proposals which will contribute to the development of web science and technology for the long-term future, rendering this work a valuable piece of knowledge.

Computational Web Intelligence

Computational Web Intelligence PDF Author: Yan-Qing Zhang
Publisher: World Scientific
ISBN: 9812562435
Category : Computers
Languages : en
Pages : 584

Book Description
This review volume introduces the novel intelligent Web theory calledcomputational Web intelligence (CWI) based on computationalintelligence (CI) and Web technology (WT). It takes an in-depth lookat hybrid Web intelligence (HWI), which is based on artificialbiological and computational intelligence with Web technology and isused to build hybrid intelligent Web systems that serve wired andwireless users more efficiently.

Computational Web Intelligence

Computational Web Intelligence PDF Author: Y-Q Zhang
Publisher: World Scientific
ISBN: 9814482811
Category : Computers
Languages : en
Pages : 584

Book Description
This review volume introduces the novel intelligent Web theory called computational Web intelligence (CWI) based on computational intelligence (CI) and Web technology (WT). It takes an in-depth look at hybrid Web intelligence (HWI), which is based on artificial biological and computational intelligence with Web technology and is used to build hybrid intelligent Web systems that serve wired and wireless users more efficiently. The basic principles of CWI and various e-applications of CWI and HWI are discussed. For completeness, six major CWI techniques — fuzzy Web intelligence, neural Web intelligence, evolutionary Web intelligence, granular Web intelligence, rough Web Intelligence and probabilistic Web intelligence — are described. With the huge potential for intelligent e-business applications of CWI and HWI, these techniques represent the future of intelligent Web applications. Contents:Fuzzy Web Intelligence, Rough Web Intelligence and Probabilistic Web IntelligenceNeural Web Intelligence, Evolutionary Web Intelligence and Granular Web IntelligenceHybrid Web Intelligence and E-Applications Readership: Graduate students, researchers and professionals in artificial intelligence and fuzzy logic. Keywords:Computational Web Intelligence;Web Intelligence;Computational Intelligence;Soft Computing;Granular Computing;Fuzzy Logic;Neural Networks;Evolutionary Computation;Rough Sets;E-BusinessKey Features:Completely introduces the intelligent Web techniques based on soft computing, granular computing, computational intelligence, and Web technology for different intelligent Web applicationsFirst to introduce the novel intelligent Web theory (computational Web intelligence) with many potential intelligent Web applicationsIntroduces CWI techniques for currently hot and important applications such as Web security, Internet security, bioinformatics, Web search engines, Web mining, e-commerce, intelligent Web agents, etc.

Computational Intelligence for Business Analytics

Computational Intelligence for Business Analytics PDF Author: Witold Pedrycz
Publisher: Springer Nature
ISBN: 3030738191
Category : Technology & Engineering
Languages : en
Pages : 417

Book Description
Corporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments.Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field.

Web Intelligence: Research and Development

Web Intelligence: Research and Development PDF Author: Ning Zhong
Publisher: Springer
ISBN: 354045490X
Category : Computers
Languages : en
Pages : 620

Book Description
This book constitutes the refereed proceedings of the First Asia-Pacific Conference on Web Intelligence, WI 2001, held in Maebashi City, Japan, in October 2001.The 28 revised full papers and 45 revised short papers presented were carefully reviewed and selected from 153 full-length paper submissions. Also included are an introductory survey and six invited presentations. The book offers topical sections on Web information systems environments and foundations, Web human-media engineering, Web information management, Web information retrieval, Web agents, Web mining and farming, and Web-based applications.

Illustrated Computational Intelligence

Illustrated Computational Intelligence PDF Author: Priti Srinivas Sajja
Publisher: Springer Nature
ISBN: 9811595895
Category : Technology & Engineering
Languages : en
Pages : 225

Book Description
This book presents a summary of artificial intelligence and machine learning techniques in its first two chapters. The remaining chapters of the book provide everything one must know about the basic artificial intelligence to modern machine intelligence techniques including the hybrid computational intelligence technique, using the concepts of several real-life solved examples, design of projects and research ideas. The solved examples with more than 200 illustrations presented in the book are a great help to instructors, students, non–AI professionals, and researchers. Each example is discussed in detail with encoding, normalization, architecture, detailed design, process flow, and sample input/output. Summary of the fundamental concepts with solved examples is a unique combination and highlight of this book.

Computational Intelligence Applications in Business Intelligence and Big Data Analytics

Computational Intelligence Applications in Business Intelligence and Big Data Analytics PDF Author: Vijayan Sugumaran
Publisher: CRC Press
ISBN: 1351720252
Category : Computers
Languages : en
Pages : 362

Book Description
There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book.

Hybrid Computational Intelligence

Hybrid Computational Intelligence PDF Author: Siddhartha Bhattacharyya
Publisher: Academic Press
ISBN: 012818700X
Category : Computers
Languages : en
Pages : 250

Book Description
Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. Provides insights into the latest research trends in hybrid intelligent algorithms and architectures Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction Features hybrid intelligent applications in biomedical engineering and healthcare informatics