1413 search results - page 27 / 283 » Mining Multiple Large Databases |
EUROPAR
1999
Springer
13 years 12 months ago
1999
Springer
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Finding the most interesting correlations among items is essential for problems in many commercial, medical, and scientific domains. Much previous research focuses on finding ...
FIMI
2003
13 years 9 months ago
2003
This paper presents the implementation of kDCI, an enhancement of DCI [10], a scalable algorithm for discovering frequent sets in large databases. The main contribution of kDCI re...
ICDT
2001
ACM
14 years 3 days ago
2001
ACM
Abstract. Many data mining approaches focus on the discovery of similar (and frequent) data values in large data sets. We present an alternative, but complementary approach in whic...
SIGKDD
2000
13 years 7 months ago
2000
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....