214 search results - page 42 / 43 » New Parallel Algorithms for Frequent Itemset Mining in Very ... |
HPCA
2006
IEEE
14 years 5 months ago
2006
IEEE
Allowing loads to issue out-of-order with respect to earlier unresolved store addresses is very important for extracting parallelism in large-window superscalar processors. Blindl...
KDD
2005
ACM
13 years 11 months ago
2005
ACM
This paper describes TIPPPS (Time Interleaved Product Purchase Prediction System), which analyses billing data of corporate customers in a large telecommunications company in orde...
CIKM
2010
Springer
13 years 4 months ago
2010
Springer
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
KAIS
2006
13 years 5 months ago
2006
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
SIGMOD
2007
ACM
14 years 5 months ago
2007
ACM
We consider in this paper a class of Publish-Subscribe (pub-sub) systems called topic-based systems, where users subscribe to topics and are notified on events that belong to thos...