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» Parallel frequent set counting
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ADBIS
2003
Springer
108views Database» more  ADBIS 2003»
13 years 11 months ago
Evaluation of Common Counting Method for Concurrent Data Mining Queries
Data mining queries are often submitted concurrently to the data mining system. The data mining system should take advantage of overlapping of the mined datasets. In this paper we ...
Marek Wojciechowski, Maciej Zakrzewicz
DAMON
2009
Springer
14 years 10 days ago
Frequent itemset mining on graphics processors
We present two efficient Apriori implementations of Frequent Itemset Mining (FIM) that utilize new-generation graphics processing units (GPUs). Our implementations take advantage ...
Wenbin Fang, Mian Lu, Xiangye Xiao, Bingsheng He, ...
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
13 years 11 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
AICCSA
2008
IEEE
216views Hardware» more  AICCSA 2008»
13 years 6 months ago
Mining fault tolerant frequent patterns using pattern growth approach
Mining fault tolerant (FT) frequent patterns from transactional datasets are very complex than mining all frequent patterns (itemsets), in terms of both search space exploration a...
Shariq Bashir, Zahid Halim, Abdul Rauf Baig
ICCS
2003
Springer
13 years 11 months ago
Counting Polyominoes: A Parallel Implementation for Cluster Computing
The exact enumeration of most interesting combinatorial problems has exponential computational complexity. The finite-lattice method reduces this complexity for most two-dimension...
Iwan Jensen