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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/25829

Title: A survey of temporal knowledge discovery paradigms and methods
Authors: Roddick, John Francis
Spiliopoulou, Myra
Keywords: Data mining
Temporal databases
Time series
Trend analysis
Issue Date: 2002
Publisher: Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing)
Citation: Roddick, J. and Spiliopoulou, M. 2002. A survey of temporal knowledge discovery paradigms and methods. IEEE Transactions on Knowledge and Data Engineering 14 (4), 750-767.
Abstract: With the increase in the size of data sets, data mining has recently become an important research topic and is receiving substantial interest from both academia and industry. At the same time, interest in temporal databases has been increasing and a growing number of both prototype and implemented systems are using an enhanced temporal understanding to explain aspects of behavior associated with the implicit time-varying nature of the universe. This paper investigates the confluence of these two areas, surveys the work to date, and explores the issues involved and the outstanding problems in temporal data mining.
URI: http://hdl.handle.net/2328/25829
ISSN: 1041-4347
Appears in Collections:Computer Science, Engineering and Mathematics - Collected Works

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