184 search results - page 21 / 37 » Mining Quantitative Associations in Large Database |
ICDM
2005
IEEE
14 years 3 months ago
2005
IEEE
In data mining, enumerate the frequent or the closed patterns is often the first difficult task leading to the association rules discovery. The number of these patterns represen...
WAIM
2004
Springer
14 years 3 months ago
2004
Springer
Data mining extracts implicit, previously unknown and potentially useful information from databases. Many approaches have been proposed to extract information, and one of the most ...
KDD
2005
ACM
14 years 10 months ago
2005
ACM
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
AMT
2006
Springer
13 years 11 months ago
2006
Springer
As the first stage for discovering association rules, frequent itemsets mining is an important challenging task for large databases. Sampling provides an efficient way to get appro...
DAWAK
1999
Springer
14 years 2 months ago
1999
Springer
Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on efficient quer...