276 search results - page 14 / 56 » Frequent Submap Discovery |
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
AUSDM
2008
Springer
13 years 11 months ago
2008
Springer
Share-frequent pattern mining discovers more useful and realistic knowledge from database compared to the traditional frequent pattern mining by considering the non-binary frequen...
SDM
2004
SIAM
13 years 11 months ago
2004
SIAM
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
APWEB
2005
Springer
14 years 3 months ago
2005
Springer
Itemset share has been proposed as a measure of the importance of itemsets for mining association rules. The value of the itemset share can provide useful information such as total...
AUSAI
2001
Springer
14 years 1 months ago
2001
Springer
The Apriori algorithm's frequent itemset approach has become the standard approach to discovering association rules. However, the computation requirements of the frequent item...