Partial periodic patterns mining with multiple minimum supports

Kung Jiuan Yang; Guo Cheng Lan; Tzung Pei Hong; Yuh Min Chen

doi:10.1109/ICICS.2013.6782910

Partial periodic patterns mining with multiple minimum supports

Kung Jiuan Yang, Guo Cheng Lan, Tzung Pei Hong, Yuh Min Chen

Institute of Manufacturing Information and Systems

Research output: Contribution to conference › Paper

Abstract

Partial periodic patterns are commonly seen in real-world applications. Most of the previous approaches set a single minimum support threshold for all the events in a sequence. However using only one minimum support for all events in an event sequence to assume they have similar frequencies is not easy to happen in real-life applications. In this paper, we propose an algorithm which applies the projection-based mechanism and specifies multiple minimum supports to effectively discover appropriate partial periodic patterns. Finally, the experimental result shows the good performance of the proposed approach.

Original language	English
DOIs	https://doi.org/10.1109/ICICS.2013.6782910
Publication status	Published - 2013 Jan 1
Event	9th International Conference on Information, Communications and Signal Processing, ICICS 2013 - Tainan, Taiwan Duration: 2013 Dec 10 → 2013 Dec 13

Other

Other	9th International Conference on Information, Communications and Signal Processing, ICICS 2013
Country	Taiwan
City	Tainan
Period	13-12-10 → 13-12-13

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Information Systems
Signal Processing

Cite this

Yang, K. J., Lan, G. C., Hong, T. P., & Chen, Y. M. (2013). Partial periodic patterns mining with multiple minimum supports. Paper presented at 9th International Conference on Information, Communications and Signal Processing, ICICS 2013, Tainan, Taiwan. https://doi.org/10.1109/ICICS.2013.6782910

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Access to Document

10.1109/ICICS.2013.6782910