Sciweavers

374 search results - page 3 / 75
» New Algorithms for Fast Discovery of Association Rules
Sort
View
AUSAI
2001
Springer
15 years 1 months ago
Further Pruning for Efficient Association Rule Discovery
The Apriori algorithm's frequent itemset approach has become the standard approach to discovering association rules. However, the computation requirements of the frequent item...
Songmao Zhang, Geoffrey I. Webb
86
Voted
ICEIS
2009
IEEE
15 years 4 months ago
NARFO Algorithm: Mining Non-redundant and Generalized Association Rules Based on Fuzzy Ontologies
Traditional approaches for mining generalized association rules are based only on database contents, and focus on exact matches among items. However, in many applications, the use ...
Rafael Garcia Miani, Cristiane A. Yaguinuma, Maril...
74
Voted
PAKDD
2005
ACM
128views Data Mining» more  PAKDD 2005»
15 years 3 months ago
A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
Traditional association rules mining cannot meet the demands arising from some real applications. By considering the different values of individual items as utilities, utility mini...
Ying Liu, Wei-keng Liao, Alok N. Choudhary
DATAMINE
1998
126views more  DATAMINE 1998»
14 years 9 months ago
An Extension to SQL for Mining Association Rules
Data mining evolved as a collection of applicative problems and efficient solution algorithms relative to rather peculiar problems, all focused on the discovery of relevant infor...
Rosa Meo, Giuseppe Psaila, Stefano Ceri
PAKDD
2004
ACM
119views Data Mining» more  PAKDD 2004»
15 years 3 months ago
Mining Negative Rules Using GRD
GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a minimum support constraint. Rather, the user...
Dhananjay R. Thiruvady, Geoffrey I. Webb