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» Benchmarking Data Mining Algorithms
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176
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SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
16 years 4 months ago
Top-k Correlative Graph Mining.
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
230
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VLDB
2007
ACM
204views Database» more  VLDB 2007»
16 years 1 months ago
Optimization of Frequent Itemset Mining on Multiple-Core Processor
Multi-core processors are proliferated across different domains in recent years. In this paper, we study the performance of frequent pattern mining on a modern multi-core machine....
Eric Li, Li Liu
237
Voted
WINE
2005
Springer
268views Economy» more  WINE 2005»
16 years 15 days ago
Mining Stock Market Tendency Using GA-Based Support Vector Machines
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
Lean Yu, Shouyang Wang, Kin Keung Lai
251
Voted
WWW
2010
ACM
16 years 2 months ago
Web search/browse log mining: challenges, methods, and applications
Huge amounts of search and browse log data has been accumulated in various search engines. Such massive search/browse log data, on the one hand, provides great opportunities to mi...
Daxin Jiang, Jian Pei, Hang Li
176
Voted
ICDM
2005
IEEE
142views Data Mining» more  ICDM 2005»
16 years 19 days ago
Shortest-Path Kernels on Graphs
Data mining algorithms are facing the challenge to deal with an increasing number of complex objects. For graph data, a whole toolbox of data mining algorithms becomes available b...
Karsten M. Borgwardt, Hans-Peter Kriegel