101 search results - page 11 / 21 » Discovery of Influence Sets in Frequently Updated Databases |
HICSS
2003
IEEE
14 years 21 days ago
2003
IEEE
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Mining generator patterns has raised great research interest in recent years. The main purpose of mining itemset generators is that they can form equivalence classes together with...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Classic algorithms for sequential pattern discovery, return all frequent sequences present in a database. Since, in general, only a few ones are interesting from a user's poin...
TIME
2008
IEEE
14 years 1 months ago
2008
IEEE
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
The goal of this paper is to study how a-prior knowledge of the image database could be exploited for better watermarking performance. Unlike most formulations, where the encoder ...