143 search results - page 10 / 29 » Mining Thick Skylines over Large Databases |
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...
ICAI
2003
13 years 10 months ago
2003
We propose a new kind of sequential pattern which we call Generalized Sequential Pattern, and we introduce the problem of mining generalized sequential patterns over temporal datab...
PKDD
2007
Springer
14 years 3 months ago
2007
Springer
Machine learning research often has a large experimental component. While the experimental methodology employed in machine learning has improved much over the years, repeatability ...
VLDB
2004
ACM
14 years 2 months ago
2004
ACM
Large boolean matrices are a basic representational unit in a variety of applications, with some notable examples being interactive visualization systems, mining large graph struc...
SPAA
1997
ACM
14 years 1 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...