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» Scalable Parallel Data Mining for Association Rules
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CORR
2010
Springer
208views Education» more  CORR 2010»
13 years 7 months ago
Discovering potential user browsing behaviors using custom-built apriori algorithm
Most of the organizations put information on the web because they want it to be seen by the world. Their goal is to have visitors come to the site, feel comfortable and stay a whi...
Sandeep Singh Rawat, Lakshmi Rajamani
WWW
2001
ACM
14 years 8 months ago
WebLQM : A Web Community Examiner
WebLQM is a system with capabilities to locate, query and mine web communities on the Internet. WebLQM has a special way to define the World Wide Web, its contents and relations. ...
Jesús Ubaldo Quevedo, Shou-Hsuan Stephen Hu...
IPPS
2005
IEEE
14 years 1 months ago
Designing Scalable FPGA-Based Reduction Circuits Using Pipelined Floating-Point Cores
The use of pipelined floating-point arithmetic cores to create high-performance FPGA-based computational kernels has introduced a new class of problems that do not exist when usi...
Ling Zhuo, Gerald R. Morris, Viktor K. Prasanna
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
14 years 28 days ago
Identifying Markov Blankets with Decision Tree Induction
The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selec...
Lewis Frey, Douglas H. Fisher, Ioannis Tsamardinos...
CIKM
2001
Springer
13 years 11 months ago
Sliding-Window Filtering: An Efficient Algorithm for Incremental Mining
We explore in this paper an effective sliding-window filtering (abbreviatedly as SWF) algorithm for incremental mining of association rules. In essence, by partitioning a transact...
Chang-Hung Lee, Cheng-Ru Lin, Ming-Syan Chen