1768 search results - page 1 / 354 » Mining Very Large Databases |
IDEAS
2009
IEEE
13 years 11 months ago
2009
IEEE
SBACPAD
2003
IEEE
13 years 10 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
COMPUTER
1999
13 years 4 months ago
1999
PAKDD
2007
ACM
13 years 11 months ago
2007
ACM
The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
ADC
2006
Springer
13 years 11 months ago
2006
Springer
In this paper we discuss eNERF, an extended version of non-Euclidean relational fuzzy c-means (NERFCM) for approximate clustering in very large (unloadable) relational data. The e...