Abstract
Data mining and knowledge discovery in large collections of data are known to be effective and useful as discussed in Chapter 5. With the growth of online data on the Web, the opportunity has arisen to utilize data mining techniques to analyze data stored on Web servers across the Internet. The application of data mining techniques to Web data, called Web mining, is used to discover patterns in this sea of information. Web mining is an evolutionary step beyond merely resource discovery and information extraction already supported by Web information retrieval systems such as the search engines and directories described in Chapter 1. In this chapter, we explore different ways for performing Web mining.
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© 2001 Springer Science+Business Media New York
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Chang, G., Healey, M.J., McHugh, J.A.M., Wang, J.T.L. (2001). Web Mining. In: Mining the World Wide Web. The Information Retrieval Series, vol 10. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1639-2_7
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DOI: https://doi.org/10.1007/978-1-4615-1639-2_7
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5654-7
Online ISBN: 978-1-4615-1639-2
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