Mining Segment-Wise Periodic Patterns in Time-Related Databases

Jiawei Han, Wan Gong and Yiwen Yin

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 techniques for mining segment-wise periodicity in regard to a fixed length period and show that data cube provides an efficient structure and a convenient way for interactive mining of multiple-level periodicity.


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