A survey of temporal knowledge discovery paradigms and methods
Roddick, J.F.; Spiliopoulou, M.
Knowledge and Data Engineering, IEEE Transactions on
Volume 14, Issue 4, July-Aug. 2002 Page(s):750 - 767
Digital Object Identifier   10.1109/TKDE.2002.1019212
Summary: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.

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