98 search results - page 9 / 20 » Parallel Mining of Maximal Frequent Itemsets from Databases |
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...
CINQ
2004
Springer
13 years 11 months ago
2004
Springer
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
SPAA
1997
ACM
13 years 11 months ago
1997
ACM
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
PPOPP
2005
ACM
14 years 1 months ago
2005
ACM
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Finding the most interesting correlations among items is essential for problems in many commercial, medical, and scientific domains. Much previous research focuses on finding ...