@inproceedings{5f0e985ce95a456b849d1bbe599f1ffe,
title = "An adaptive method of numerical attribute merging for quantitative association rule mining",
abstract = "Mining quantitative association rules is an important topic of data mining since most real world databases have both numerical and categorical attributes. Typical solutions involve partitioning each numerical attribute into a set of disjoint intervals, interpreting each interval as an item, and applying standard boolean association rule mining. Commonly used partitioning methods construct set of intervals that either have equal width or equal cardinality. We introduce an adaptive partitioning method based on repeatedly merging smaller intervals into larger ones. This method provides an effective compromise between the equal width and equal cardinality criteria. Experimental results show that the proposed method is an effective method and improves on both equalwidth partitioning and equal-cardinality partitioning.",
keywords = "Association rule, Continuous attribute discretization, Data mining",
author = "Jiuyong Li and Hong Shen and Rodney Topor",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1999.; 5th International Computer Science Conference, ICSC 1999 ; Conference date: 13-12-1999 Through 15-12-1999",
year = "1999",
doi = "10.1007/978-3-540-46652-9_5",
language = "English",
isbn = "3540669035",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "41--52",
editor = "Hui, {Lucas Chi-Kwong} and Lee, {Dik Lun}",
booktitle = "Internet Applications - 5th International Computer Science Conference ICSC 1999, Proceedings",
address = "Germany",
}