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Abstract: Periodicity search, that is, search for cyclicity in time-related databases, is an interesting data mining problem. Most previous studies have been on finding full-cycle periodicity for all the segments in the selected sequences of the data, that is, if a sequence is periodic, all the points or segments in the period repeat. However, it is often useful to mine segment-wise or point-wise periodicity in time-related data sets. In this study, we integrate data cube and Apriori data mining... (Update)
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BibTeX entry: (Update)
J. Han, W. Gong, and Y. Yin. Mining segment-wise periodic patterns in time-related databases. In Proc. 1998 Int'l Conf. on Knowledge Discovery and Data Mining (KDD'98), New York City, NY, August 1998. http://citeseer.ist.psu.edu/han98mining.html More
@inproceedings{ han98mining,
author = "J. Han and W. Gong and Y. Yin",
title = "Mining segment-wise periodic patterns in time-related databases",
booktitle = "Fourth International Conference on Knowledge Discovery and Data Mining",
publisher = "AAAI Press, Menlo Park",
pages = "214--218",
year = "1998",
url = "citeseer.ist.psu.edu/han98mining.html" }
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225 Data Mining: Concepts and Techniques (context) - Han, Kamber - 1998
1 Descriptive and Inferential Statistics: An Introduction (context) - Loether, McTavish - 1993
1 and Silberschatz (context) - Ozden, Ramaswamy - 1998
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