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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...

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書誌詳細
主要な著者:	Mohd Shaharanee, Izwan Nizal, Mohd Jamil, Jastini
その他の著者:	Dillon, Tharam
フォーマット:	Book Section
言語:	English
出版事項:	Springer International Publishing 2015
主題:	QA76 Computer software
オンライン･アクセス:	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
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