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.
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Pawan Lingras is currently a Professor of Mathematics and Computing Science at Saint Mary's University, Halifax. He has authored more than 200 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. He has been a Natural Sciences and Engineering Research Council (NSERC) Discovery Grant recipient for 25 years. His areas of interest include artificial intelligence, information retrieval, data mining, web intelligence, and intelligent transportation systems. Professor Lingras 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 the editorial boards of a number of international journals. Professor Lingras is a recipient of the Father William A. Stewart, S.J., Medal for Excellence in Teaching by the Alumni Association and the Faculty of Science Teaching Excellence award by the Student Association of Saint Mary's University. He is a graduate of IIT Bombay with graduate studies from University of Regina. His co-authors include professionals from Canada, India, China, Tunisia, USA, UK, Germany, Norway, and Chile. Professor Lingras was the Director of a Business Administration and Computing program in The Gambia, West Africa. He recently served as a University Grant Council (UGC) funded Scholar-in-Residence at SRTM University, Nanded, and as a visiting professor at IIT Gandhinagar, both in India. During these two visits in 2011-12, he extensively traveled through India giving more than 32 invited talks. He has also previously served as a Shastri Indo-Canadian Institute Scholar.
This graduate textbook applies data mining techniques to extract implicit and unknown information from the massive collection of documents available on the web, and suggests alternative approaches to analyzing web site usage, content, and topology. The CD-ROM contains public domain software package links and datasets for practicing data mining, web
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