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  Knowledge Discovery in Databases: An Information Retrieval Perspective

Ong, C. (2000). Knowledge Discovery in Databases: An Information Retrieval Perspective. Malaysian Journal of Computer Science, 13(2), 54-63.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-E3DC-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-AF2C-6
Genre: Journal Article

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malay-j-comp-sci-2000.pdf (Any fulltext), 63KB
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Ong, CS1, Author              
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 Abstract: The current trend of increasing capabilities in data generation and collection has resulted in an urgent need for data mining applications, also called knowledge discovery in databases. This paper identifies and examines the issues involved in extracting useful grains of knowledge from large amounts of data. It describes a framework to categorise data mining systems. The author also gives an overview of the issues pertaining to data pre processing, as well as various information gathering methodologies and techniques. The paper covers some popular tools such as classification, clustering, and generalisation. A summary of statistical and machine learning techniques used currently is also provided.

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 Dates: 2000-12
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: 3424
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Title: Malaysian Journal of Computer Science
Source Genre: Journal
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Pages: - Volume / Issue: 13 (2) Sequence Number: - Start / End Page: 54 - 63 Identifier: -