Abstract
One of the tremendous advantages of the Web is the vast amount of information logged about user accesses. This information can be mined to gain deep insights into the Web site, its usage, and visitation trends and other patterns. The basic techniques in data mining such as association mining, classification, clustering and sequence analysis are first presented. Applications of Web mining including server log mining, link analysis, user trend analysis, collaborative filtering for recommendation and adaptive web site organization are covered in this chapter.
In the mountain, stillness surges up to explore its own height; in the lake, movement stands still to contemplate its own depth
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© 2002 Springer Science+Business Media New York
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Sarukkai, R.R. (2002). Web Mining. In: Foundations of Web Technology. The Springer International Series in Engineering and Computer Science, vol 698. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1135-9_6
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DOI: https://doi.org/10.1007/978-1-4615-1135-9_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5409-3
Online ISBN: 978-1-4615-1135-9
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