295 search results - page 3 / 59 » Finding Interesting Rules from Large Sets of Discovered Asso... |
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
ICMCS
2009
IEEE
13 years 3 months ago
2009
IEEE
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
PAKDD
1999
ACM
13 years 9 months ago
1999
ACM
Association rules are a class of important regularities in databases. They are found to be very useful in practical applications. However, the number of association rules discovere...
KDD
1997
ACM
13 years 9 months ago
1997
ACM
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
IEEEICCI
2002
IEEE
13 years 10 months ago
2002
IEEE
Given a donor database by a charitable organization in Hong Kong, we propose to use a new data mining technique to discover fuzzy rules for direct marketing. The discovered fuzzy ...