Information retrieval and data mining

Katherine G. Herbert, Jason T.L. Wang, Jianghui Liu

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

With both commercial and scientific data sets growing at an extremely rapid rate, methods for retrieving knowledge from this data in an efficient and reliable manner are constantly needed. To do this, many knowledge discovery techniques are employed to analyze these large data sets. Generally, knowledge discovery is the process by which data is cleaned and organized, then transformed for use for pattern detection and evaluation tools and then visualized in the most meaningful manner for the user [13].

Original languageEnglish
Title of host publicationComputer Science Handbook, Second Edition
PublisherCRC Press
Pages75-1-75-16
ISBN (Electronic)9780203494455
ISBN (Print)9781584883609
StatePublished - 1 Jan 2004

Fingerprint

Information retrieval
Information Retrieval
Data mining
Data Mining
Knowledge Discovery
Large Data Sets
Evaluation

Cite this

Herbert, K. G., Wang, J. T. L., & Liu, J. (2004). Information retrieval and data mining. In Computer Science Handbook, Second Edition (pp. 75-1-75-16). CRC Press.
Herbert, Katherine G. ; Wang, Jason T.L. ; Liu, Jianghui. / Information retrieval and data mining. Computer Science Handbook, Second Edition. CRC Press, 2004. pp. 75-1-75-16
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Herbert, KG, Wang, JTL & Liu, J 2004, Information retrieval and data mining. in Computer Science Handbook, Second Edition. CRC Press, pp. 75-1-75-16.

Information retrieval and data mining. / Herbert, Katherine G.; Wang, Jason T.L.; Liu, Jianghui.

Computer Science Handbook, Second Edition. CRC Press, 2004. p. 75-1-75-16.

Research output: Chapter in Book/Report/Conference proceedingChapter

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Herbert KG, Wang JTL, Liu J. Information retrieval and data mining. In Computer Science Handbook, Second Edition. CRC Press. 2004. p. 75-1-75-16