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» Clustering Transactions Using Large Items
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AAIM
2008
Springer
208views Algorithms» more  AAIM 2008»
13 years 12 months ago
Large-Scale Parallel Collaborative Filtering for the Netflix Prize
Many recommendation systems suggest items to users by utilizing the techniques of collaborative filtering (CF) based on historical records of items that the users have viewed, purc...
Yunhong Zhou, Dennis M. Wilkinson, Robert Schreibe...
DAGSTUHL
2007
13 years 11 months ago
Multi-Aspect Tagging for Collaborative Structuring
Local tag structures have become frequent through Web 2.0: Users "tag" their data without specifying the underlying semantics. Every user annotates items in an individual...
Katharina Morik, Michael Wurst
HPDC
2008
IEEE
14 years 4 months ago
DataLab: transactional data-parallel computing on an active storage cloud
Active storage clouds are an attractive platform for executing large data intensive workloads found in many fields of science. However, active storage presents new system managem...
Brandon Rich, Douglas Thain
SPAA
1997
ACM
14 years 2 months ago
A Localized Algorithm for Parallel Association Mining
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
JCP
2008
145views more  JCP 2008»
13 years 9 months ago
An Effective Mining Algorithm for Weighted Association Rules in Communication Networks
The mining of weighted association rules is one of the primary methods used in communication alarm correlation analysis. With large communication alarm database, the traditional me...
Jian Wu, Xing ming Li