Information retrieval and data mining

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

Information retrieval and data mining

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

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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 language	English
Title of host publication	Computer Science Handbook, Second Edition
Publisher	CRC Press
Pages	75-1-75-16
ISBN (Electronic)	9780203494455
ISBN (Print)	9781584883609
State	Published - 1 Jan 2004

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title = "Information retrieval and data mining",

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].",

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AU - Liu, Jianghui

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AB - 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].

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