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» Parallel mining of closed quasi-cliques
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IEEEHPCS
2010
8 years 8 months ago
Discovering closed frequent itemsets on multicore: Parallelizing computations and optimizing memory accesses
The problem of closed frequent itemset discovery is a fundamental problem of data mining, having applications in numerous domains. It is thus very important to have ef´Čücient par...
Benjamin Négrevergne, Alexandre Termier, Je...
IPPS
2008
IEEE
9 years 4 months ago
Parallel mining of closed quasi-cliques
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
Yuzhou Zhang, Jianyong Wang, Zhiping Zeng, Lizhu Z...
KDD
2005
ACM
170views Data Mining» more  KDD 2005»
9 years 10 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
9 years 4 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...
IPPS
2000
IEEE
9 years 1 months ago
Developing an Open Architecture for Performance Data Mining
Performance analysis of high performance systems is a difficult task. Current tools have proven successful in analysis tasks but their implementation is limited in several respects...
David B. Pierce, Diane T. Rover
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