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IIS
2001
13 years 9 months ago
Discovering Multi-head Attributional Rules in Large Databases
: A method for discovering multi-head attributional rules in large databases is presented and illustrated by results from an implemented program. Attributional rules (a.k.a. attrib...
Jerzy Clowinski, Ryszard S. Michalski
CIKM
2005
Springer
14 years 1 months ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
ICDE
1998
IEEE
103views Database» more  ICDE 1998»
14 years 9 months ago
Online Generation of Association Rules
We have a large database consisting of sales transactions. We investigate the problem of online mining of association rules in this large database. We show how to preprocess the d...
Charu C. Aggarwal, Philip S. Yu
PKDD
2005
Springer
94views Data Mining» more  PKDD 2005»
14 years 1 months ago
Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest
In the last few years, the data mining community has proposed a number of objective rule interestingness measures to select the most interesting rules, out of a large set of discov...
Deborah R. Carvalho, Alex Alves Freitas, Nelson F....
KDD
2001
ACM
181views Data Mining» more  KDD 2001»
14 years 8 months ago
Identifying non-actionable association rules
Building predictive models and finding useful rules are two important tasks of data mining. While building predictive models has been well studied, finding useful rules for action...
Bing Liu, Wynne Hsu, Yiming Ma