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» Issues in Developing Very Large Data Warehouses
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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 7 days ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
15 years 5 months ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han
VLDB
2004
ACM
100views Database» more  VLDB 2004»
15 years 5 months ago
Resilient Rights Protection for Sensor Streams
Today’s world of increasingly dynamic computing environments naturally results in more and more data being available as fast streams. Applications such as stock market analysis,...
Radu Sion, Mikhail J. Atallah, Sunil Prabhakar
POPL
2012
ACM
13 years 7 months ago
Static and user-extensible proof checking
Despite recent successes, large-scale proof development within proof assistants remains an arcane art that is extremely timeconsuming. We argue that this can be attributed to two ...
Antonis Stampoulis, Zhong Shao
CSE
2009
IEEE
15 years 6 months ago
TagRec: Leveraging Tagging Wisdom for Recommendation
—Due to the exponential growth of information on the Web, Recommender Systems have been developed to generate suggestions to help users overcome information overload and sift thr...
Tom Chao Zhou, Hao Ma, Irwin King, Michael R. Lyu