81 search results - page 8 / 17 » Towards On-Line Analytical Mining in Large Databases |
EDBT
2012
ACM
11 years 10 months ago
2012
ACM
Increased availability of large repositories of chemical compounds has created new challenges and opportunities for the application of data-mining and indexing techniques to probl...
CMG
2001
13 years 9 months ago
2001
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
SIGMOD
1998
ACM
13 years 12 months ago
1998
ACM
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
BTW
1999
Springer
13 years 12 months ago
1999
Springer
Data mining has been recognised as an essential element of decision support, which has increasingly become a focus of the database industry. Like all computationally expensive data...
PKDD
2007
Springer
14 years 1 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 ...