1768 search results - page 76 / 354 » Mining Very Large Databases |
KDD
2006
ACM
14 years 10 months ago
2006
ACM
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
SIGMOD
2001
ACM
14 years 10 months ago
2001
ACM
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
IEAAIE
2009
Springer
14 years 4 months ago
2009
Springer
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
RIDE
1997
IEEE
14 years 2 months ago
1997
IEEE
Discovery of association rules is a prototypical problem in data mining. The current algorithms proposed for data mining of association rules make repeated passes over the databas...
ICDM
2006
IEEE
14 years 4 months ago
2006
IEEE
New applications of data mining, such as in biology, bioinformatics, or sociology, are faced with large datasets structured as graphs. We present an efficient algorithm for minin...