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Building an Intelligent Web: Theory and Practice

Author(s): Pawan Lingras, PhD, Saint Mary's University, Halifax
Rajendra Akerkar, Technomathematics Research Foundation
Details:
  • ISBN-13: 9780763741372
  • ISBN-10:076374137X
  • Hardcover    326 pages      © 2008
Price: International Sales $143.95 US List
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Overview

Prepare Yourself for Web 2.0 & 3.0!

The World Wide Web has become an extremely popular way of publishing and distributing electronic resources.  Though the Web is rich with information, collecting and making sense of this data is difficult because it is rather unorganized. Building an Intelligent Web introduces students and professionals to the state-of-the art development of Web Intelligence techniques and teaches how to apply these techniques to develop the next generation of intelligent Web sites. Each chapter contains theoretical bases, which are also illustrated with the help of simple numeric examples, followed by practical implementation. Students will find Building an Intelligent Web to be an active and exciting introduction to advanced Web mining topics. 

Topics covered include Web Intelligence, Information Retrieval, Semantic Web, Classification and Association Rules, SQL, Database Theory, Applications to e-commerce and Bioinformatics, Clustering, Modeling Web Topology, and much more!

Includes IBM DB2 Express-C, a data server used in the development and deployment of applications including: XML, C/C++, Java, .NET, PHP, and more.

ShowKey Features

Theoretical bases are illustrated using simple numeric explanations and practical implementations.

End-of-chapter set exercises reinforce the textbook material and are suitable as assigned homework problems.

Each book includes a FREE CD-ROM containing various public domain software packages and datasets discussed in the textbook. The software found on this CD-ROM enables students to carry out all relevant data mining, Web mining, and information retrieval tasks.

A DB2 Discovery DVD accompanies the textbook and contains DB2 Express-C install for Windows.

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ShowTable of Contents

Title Page
Copyright
Contents
Preface
1  Introduction to Web Intelligence
2  Information Retrieval
3  Semantic Web
4  Classification and Association
5  Clustering
6  Web Usage Mining
7  Web Content Mining
8  Web Structure Mining
Index
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ShowAbout the Author(s)

Pawan Lingras, PhD-Saint Mary's University, Halifax

Pawn Lingras is a Professor in the Department of Mathematics and Computing Science at Saint Mary's University, Halifax, Canada. He has authored more than 160 research papers in various international journals and conferences. He has also co-authored two textbooks, and co-edited two books and five volumes of research papers. His areas of interests include artificial intelligence, information retrieval, data mining, web intelligence, and intelligent transportation systems. He has served as the general co-chair, program co-chair, review committee chair, program committee member, and reviewer for various international conferences on artificial intelligence and data mining. He is also on editorial boards of a number of international journals.

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Rajendra Akerkar-Technomathematics Research Foundation

Rajendra Akerkar is the Founder Chairman of the Technomathematics Research Foundation, India. He is also a Senior Scientist at the Western Norway Research Institute, Norway.  He received the BOYSCAST (Young Scientist) award of the Department of Science & Technology, Government of India in 1997, and was the recipient of the prestigious DAAD fellowship and UNESCO-TWAS Associate in mathematical sciences.  Rajendra Akerkar's research and teaching assignments have taken him around the world to Germany, Japan, Norway, Austria, Canada, Vietnam, Spain and Armenia. He is also member of IASTED Technical Committee on Artificial Intelligence & Expert Systems. He is a life member of the Indian Science Congress and the Indian Mathematical Society. Akerkar serves as editor-in-chief of International Journal of Computer Science & Applications and Journal of Hybrid Computing Research, and is on the editorial board of numerous other computer science journals. More than 80 of Akerkar's research papers have been published in reputed national and international journals and he has authored 9 books and edited 4 volumes of international conferences on Artificial Intelligence & Applications of Computer Algebra. His research agenda basically concentrates on learning and natural language - how each works in the human and how they can be replicated in a machine. His area of interest broadly includes intelligent systems, semi structured data, Web data mining, and semantic web.

 

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ShowAppropriate Courses

Building an Intelligent Web: Theory and Practice is designed for advanced undergraduate or first year graduate students, studying:

  • Web Mining
  • Web Intelligence
  • Web Information Retrieval

Building an Intelligent Web: Theory and Practice is also suitable for Web Mining curriculum in mathematics or statistics.

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