237 search results - page 14 / 48 » Mining Frequent Itemsets Using Re-Usable Data Structure |
IS
2007
13 years 7 months ago
2007
As data mining techniques are being increasingly applied to non-traditional domains, existing approaches for finding frequent itemsets cannot be used as they cannot model the req...
TIME
2008
IEEE
14 years 2 months ago
2008
IEEE
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
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...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
CINQ
2004
Springer
14 years 1 months ago
2004
Springer
Mining Frequent Itemsets is the core operation of many data mining algorithms. This operation however, is very data intensive and sometimes produces a prohibitively large output. I...