583 search results - page 76 / 117 » Mining evolving data streams for frequent patterns |
CORR
2008
Springer
14 years 9 months ago
2008
Springer
Analytical queries defined on data warehouses are complex and use several join operations that are very costly, especially when run on very large data volumes. To improve response...
TIME
2008
IEEE
15 years 4 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....
176
click to vote
ICDE
2008
IEEE
15 years 11 months ago
2008
IEEE
Abstract- Data streams of real numbers are generated naturally in many applications. The technology of online subsequence searching in data streams becomes more and more important ...
SDM
2009
SIAM
15 years 7 months ago
2009
SIAM
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
ACL
2009
14 years 7 months ago
2009
Negative life events, such as death of a family member, argument with a spouse and loss of a job, play an important role in triggering depressive episodes. Therefore, it is worth ...