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Abstract: this paper will give users the flexibility to control the mining process as well as the chance to reduce the meaningless associations to be generated (Update)
Context of citations to this paper: More
...attributes lead to natural hierarchies. Since the number of generated rules increases enormously, a notion of interestingness, cf. [8, 16], is necessary to describe them. It might for instance be informative to know that people often buy milk early in the day; on a more...
.... span different levels of the hierarchy since, sometimes, more interesting rules can be derived by taking the hierarchy into account [HF99, SA95]. For example, High level rules, such as 80 of customers who purchase milk may also purchase bread. Low level rules, such as 70...
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BibTeX entry: (Update)
J. Han and Y. Fu, Mining Multiple-Level Association Rules in Large Databases, technical report, Univ. of MissouriRolla, URL: http:// www.umr.edu/~yongjian/pub/ml.ps, 1997. http://citeseer.ist.psu.edu/article/han99mining.html More
@article{ han99mining,
author = "Jiawei Han and Yongjian Fu",
title = "Mining Multiple-Level Association Rules in Large Databases",
journal = "Knowledge and Data Engineering",
volume = "11",
number = "5",
pages = "798-804",
year = "1999",
url = "citeseer.ist.psu.edu/article/han99mining.html" }
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