Preliminary Investigations into Statistically Valid Exploratory Rule Discovery (2003)
by
Geoffrey I. Webb
| Venue: | University of Technology, Sydney |
| Citations: | 2 - 1 self |
BibTeX
@INPROCEEDINGS{Webb03preliminaryinvestigations,
author = {Geoffrey I. Webb},
title = {Preliminary Investigations into Statistically Valid Exploratory Rule Discovery},
booktitle = {University of Technology, Sydney},
year = {2003},
pages = {1--9}
}
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Abstract
Exploratory rule discovery, as exemplified by association rule discovery, is has proven very popular. In this paper I investigate issues surrounding the statistical validity of rules found using this approach and methods that might be employed to deliver statistically sound exploratory rule discovery.
Citations
| 2528 | UCI Repository of Machine Learning Databases - Blake, Keogh, et al. - 1998 |
| 192 | Efficient mining of emerging patterns: discovering trends and differences - Dong, Li - 1999 |
| 103 | Real world performance of association rule algorithms - Zheng, Kohavi, et al. - 2001 |
| 101 | Mining associations between sets of items in massive databases - Agrawal, Imielinski, et al. - 1993 |
| 67 | Multiple Comparisons in Induction Algorithms," Machine Learning (to appear). Excellent discussion of bias inherent in selecting an input. Explore http://www.cs.umass.edu/~jensen/papers. How to cite B.Rajasekhar - Jensen, Cohen - 1999 |
| 61 | Detecting group differences: Mining contrast sets - Bay, Pazzani - 2001 |
| 47 | Efficient search for association rules - Webb - 2000 |
| 31 | On detecting differences between groups - Webb, Butler, et al. - 2003 |
| 3 | Magnum Opus version 1.3. Computer software, Distributed by Rulequest Research - Webb - 2001 |
