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» Graph Mining based on a Data Partitioning Approach
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KDD
2006
ACM
130views Data Mining» more  KDD 2006»
16 years 23 days ago
Mining relational data through correlation-based multiple view validation
Commercial relational databases currently store vast amounts of real-world data. The data within these relational repositories are represented by multiple relations, which are int...
Hongyu Guo, Herna L. Viktor
ICPP
2007
IEEE
15 years 6 months ago
Toward Automatic Data Distribution for Migrating Computations
Program parallelization requires mapping computation and data to processing elements. Navigational Programming (NavP), based on the principle of migrating computations, offers a d...
Lei Pan, Jingling Xue, Ming Kin Lai, Michael B. Di...
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
15 years 6 months ago
Anti-monotonic Overlap-Graph Support Measures
In graph mining, a frequency measure is anti-monotonic if the frequency of a pattern never exceeds the frequency of a subpattern. The efficiency and correctness of most graph pat...
Toon Calders, Jan Ramon, Dries Van Dyck
ADC
2007
Springer
145views Database» more  ADC 2007»
15 years 6 months ago
The Privacy of k-NN Retrieval for Horizontal Partitioned Data -- New Methods and Applications
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Artak Amirbekyan, Vladimir Estivill-Castro
86
Voted
TSE
2008
113views more  TSE 2008»
15 years 8 days ago
Discovering Neglected Conditions in Software by Mining Dependence Graphs
Neglected conditions are an important but difficult-to-find class of software defects. This paper presents a novel approach for revealing neglected conditions that integrates stati...
Ray-Yaung Chang, Andy Podgurski, Jiong Yang