109 search results - page 4 / 22 » A Thorough Experimental Study of Datasets for Frequent Items... |
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
ICDE
2001
IEEE
14 years 9 months ago
2001
IEEE
We present a new algorithm for mining maximal frequent itemsets from a transactional database. Our algorithm is especially efficient when the itemsets in the database are very lon...
FIMI
2003
13 years 9 months ago
2003
We present a depth-first algorithm, PatriciaMine, that discovers all frequent itemsets in a dataset, for a given support threshold. The algorithm is main-memory based and employs...
DMIN
2007
13 years 9 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...
FSKD
2005
Springer
14 years 1 months ago
2005
Springer
The value of the itemset share is one way of evaluating the magnitude of an itemset. From business perspective, itemset share values reflect more the significance of itemsets for m...