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» Mining Frequent Patterns without Candidate Generation
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TCBB
2010
98views more  TCBB 2010»
13 years 2 months ago
VARUN: Discovering Extensible Motifs under Saturation Constraints
Abstract-The discovery of motifs in biosequences is frequently torn between the rigidity of the model on the one hand and the abundance of candidates on the other. In particular, m...
Alberto Apostolico, Matteo Comin, Laxmi Parida
ISSTA
2009
ACM
14 years 2 months ago
Identifying bug signatures using discriminative graph mining
Bug localization has attracted a lot of attention recently. Most existing methods focus on pinpointing a single statement or function call which is very likely to contain bugs. Al...
Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xif...
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
14 years 8 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
13 years 11 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
WWW
2008
ACM
14 years 8 months ago
Substructure similarity measurement in chinese recipes
Improving the precision of information retrieval has been a challenging issue on Chinese Web. As exemplified by Chinese recipes on the Web, it is not easy/natural for people to us...
Liping Wang, Qing Li, Na Li, Guozhu Dong, Yu Yang