Abstract
Advances in storage, networking, processing power, and software technology have enabled us to efficiently store and retrieve digital data in databases, data warehouses, or other information repositories. What can we do with this accumulated data? Ignoring this data would be wasteful because much of the needed knowledge is waiting to be discovered in the repositories. The underlying thesis of data mining is to use techniques to discover and extract valuable knowledge in this data. The vast amount of data on the Web, in particular, has made data exploration tools essential. This chapter presents the basic concepts of data mining and knowledge discovery in databases.
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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). Data 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_5
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DOI: https://doi.org/10.1007/978-1-4615-1639-2_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5654-7
Online ISBN: 978-1-4615-1639-2
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