680 search results - page 2 / 136 » Mining Frequent Itemsets Using Genetic Algorithm |
APPINF
2003
13 years 8 months ago
2003
Discovering association rules by identifying relationships among sets of items in a transaction database is an important problem in Data Mining. Finding frequent itemsets is compu...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...
DMIN
2007
13 years 8 months ago
2007
- Several algorithms have been introduced for mining frequent itemsets. The recent datasettransformation approach suffers either from the possible increasing in the number of struc...
KDD
2004
ACM
14 years 7 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...
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
Mining High Utility Itemsets from a transaction database is to find itemsests that have utility above a user-specified threshold. This problem is an extension of Frequent Itemset ...