174 search results - page 18 / 35 » Probabilistic frequent itemset mining in uncertain databases |
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....
ADBIS
1998
Springer
13 years 12 months ago
1998
Springer
Mining association rules is an important data mining problem. Association rules are usually mined repeatedly in different parts of a database. Current algorithms for mining associa...
LWA
2004
13 years 9 months ago
2004
Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind ...
IDEAS
2007
IEEE
14 years 2 months ago
2007
IEEE
The transversal hypergraph enumeration based algorithms can be efficient in mining frequent itemsets, however it is difficult to apply them to sequence mining problems. In this ...
ICDT
2009
ACM
14 years 8 months ago
2009
ACM
In this paper, we present a comprehensive theoretical analysis of the sampling technique for the association rule mining problem. Most of the previous works have concentrated only...