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Introduction to Data Mining

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Principles of Data Mining

Part of the book series: Undergraduate Topics in Computer Science ((UTICS))

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Abstract

This chapter gives a brief overview of the field of Data Mining. The topics covered are the data explosion, the knowledge discovery process, applications of data mining, labelled and unlabelled data, supervised learning: classification and numerical prediction, and unsupervised learning: association rules and clustering.

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© 2013 Springer-Verlag London

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Bramer, M. (2013). Introduction to Data Mining. In: Principles of Data Mining. Undergraduate Topics in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-4884-5_1

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  • DOI: https://doi.org/10.1007/978-1-4471-4884-5_1

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4883-8

  • Online ISBN: 978-1-4471-4884-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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