A framework for interestingness measures for association rules with discrete and continuous attributes based on statistical validity
Assessing rules with interestingness measures is the pillar of successful application of association rules discovery. However, association rules discovered are large in number, some of which are not considered as interesting or significant for the application at hand. In this paper, we present a sys...
Saved in:
Main Authors: | , |
---|---|
其他作者: | |
格式: | Book Section |
语言: | English |
出版: |
Springer International Publishing
2015
|
主题: | |
在线阅读: | http://repo.uum.edu.my/17877/1/IFIP%20AI%202015%201-10.pdf http://repo.uum.edu.my/17877/ http://doi.org/10.1007/978-3-319-25261-2 |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|