 | Name: | Web Mining |
| No.: | S081203ZJ004 | Semester: | Spring |
| Hour: | 40 | Credit: | 2.0 |
| Teacher: | Zhu, Tingshao |
| Introduction: |
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| Web mining aims to discover knowledge from the Web content, structure, and usage log. It has quickly become one of the most popular areas in computing and information systems because of its direct applications in Web analytics, information retrieval/filtering, Web personalization, and recommender systems. Web mining techniques can be used to understand user behavior and utilize discovered patterns from terabytes of web data to design more intelligent applications. The primary focus of this course is on Web mining and its applications to real web applications. Specifically, we will consider techniques from machine learning, data mining, text mining, and databases to extract useful knowledge from Web data which could be used for automatic personalization, recommendation, and user profiling. Programming experience is required. PREREQUISITES Knowledge and experience of java/C++/C# programming are required. |
| Content: |
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| Material: |
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| Web Data Mining - Exploring Hyperlinks, Contents and Usage Data, By Bing Liu, Springer, ISBN 3-540-37881-2, Dec 2006. (It is available in UIC bookstore) |
| References: |
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| • Data mining: Concepts and Techniques, by Jiawei Han and Micheline Kamber, Morgan Kaufmann Publishers, ISBN 1-55860-489-8.
• Principles of Data Mining, by David Hand, Heikki Mannila, Padhraic Smyth, The MIT Press, ISBN 0-262-08290-X.
• Machine Learning, by Tom M. Mitchell, McGraw-Hill, ISBN 0-07-042807-7
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