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» Benchmarking Data Mining Algorithms
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252
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ICDE
2001
IEEE
141views Database» more  ICDE 2001»
16 years 5 months ago
TAR: Temporal Association Rules on Evolving Numerical Attributes
Data mining has been an area of increasing interests during recent years. The association rule discovery problem in particular has been widely studied. However, there are still so...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
161
Voted
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
15 years 10 months ago
Parallel Mining of Frequent Closed Patterns: Harnessing Modern Computer Architectures
Inspired by emerging multi-core computer architectures, in this paper we present MT CLOSED, a multi-threaded algorithm for frequent closed itemset mining (FCIM). To the best of ou...
Claudio Lucchese, Salvatore Orlando, Raffaele Pere...
124
Voted
AUSAI
2003
Springer
15 years 9 months ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra
125
Voted
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
16 years 4 months ago
Mining for misconfigured machines in grid systems
Grid systems are proving increasingly useful for managing the batch computing jobs of organizations. One well known example for that is Intel which uses an internally developed sy...
Noam Palatin, Arie Leizarowitz, Assaf Schuster, Ra...
132
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KDD
2005
ACM
145views Data Mining» more  KDD 2005»
16 years 4 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt