Partial Periodic Patterns Mining with Multiple Minimum Supports

被引：0

作者：

Yang, Kung-Jiuan ^{[1
]}

Hong, Tzung-Pei ^{[2
]}

Lan, Guo-Cheng ^{[3
]}

Chen, Yuh-Min ^{[4
]}

机构：

[1] Fortune Inst Technol, Dept Informat Management, Kaohsiung, Taiwan

[2] Natl Univ Kaohsiung, Dept Comp Sci & Informat Engn, Kaohsiung, Taiwan

[3] Fujian Normal Univ, Fuqling Branch, Dept Math & Comp Sci, Fuzhou, Fujian, Peoples R China

[4] Natl Cheng Kung Univ, Inst Mfg Informat & Syst, Tainan 70101, Taiwan

来源：

2013 9TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS AND SIGNAL PROCESSING (ICICS) | 2013年

关键词：

data mining; multiple minimum supports; sequential pattern; partial periodic pattern; projection;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Partial periodic patterns are commonly seen in realworld 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.

引用

页数：4

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