68 search results - page 6 / 14 » Mining the Future: Predicting Itemsets' Support of Associati... |
KDD
2004
ACM
14 years 8 months ago
2004
ACM
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
DASFAA
2004
IEEE
13 years 11 months ago
2004
IEEE
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
RCIS
2010
13 years 5 months ago
2010
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
APIN
2006
13 years 7 months ago
2006
It is not an easy task to know a priori the most appropriate fuzzy sets that cover the domains of quantitative attributes for fuzzy association rules mining. In general, it is unre...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
This work proposes a theoretical guideline in the specific area of Frequent Itemset Mining (FIM). It supports the hypothesis that the use of neural network technology for the prob...