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Time Series Data Mining Method Based on Lightly-Supported Boolean Association Rules

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2 Author(s)
Zhonglin Zhang ; Lanzhou Jiaotong Univ., Lanzhou ; Zhi Chen

The mining of association rules mainly aims at the strong association rules, but lacks of efficient methods to mine the rules within the item sets that occur not much frequently. With the separation of the items by their time property, this paper discusses a new method of mining the lightly-supported Boolean association rules.

Published in:

Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on  (Volume:1 )

Date of Conference:

24-27 Aug. 2007