Strong association rules mining without using frequent items for microarray analysis

Miao Wang, Xuequn Shang, Qian Zhao, Zhanhuai Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

5 引用 (Scopus)

摘要

Microarray technology has created a revolution in the field of biological research. Association rules can not only group the similarly expressed genes but also discern relationships among genes. However, the efficiency of traditional method to generate association rules is not very well. We develop a novel algorithm, SAW, to generate strong association rules by combining the paired rules, which can avoid lots of unnecessary computing that traditional method often encounter. The experiments show our method is more efficiently than FARMER.

源语言英语
主期刊名3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
DOI
出版状态已出版 - 2009
活动3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 - Beijing, 中国
期限: 11 6月 200913 6月 2009

出版系列

姓名3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

会议

会议3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
国家/地区中国
Beijing
时期11/06/0913/06/09

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