175 search results - page 11 / 35 » Top-Down Mining of Interesting Patterns from Very High Dimen... |
PAKDD
2004
ACM
14 years 1 months ago
2004
ACM
In many real world applications, systematic analysis of rare events, such as credit card frauds and adverse drug reactions, is very important. Their low occurrence rate in large da...
DASFAA
2010
IEEE
13 years 8 months ago
2010
IEEE
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
AICCSA
2008
IEEE
13 years 8 months ago
2008
IEEE
Mining fault tolerant (FT) frequent patterns from transactional datasets are very complex than mining all frequent patterns (itemsets), in terms of both search space exploration a...
KDD
2012
ACM
11 years 11 months ago
2012
ACM
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an importan...
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...