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ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
16 years 1 months ago
Fine-Grain Perturbation for Privacy Preserving Data Publishing
— Recent work [12] shows that conventional privacy preserving publishing techniques based on anonymity-groups are susceptible to corruption attacks. In a corruption attack, if th...
Rhonda Chaytor, Ke Wang, Patricia Brantingham
TSE
2008
113views more  TSE 2008»
15 years 6 months 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
WEBNET
2000
15 years 7 months ago
Mining the Most Interesting Web Access Associations
: Web access patterns can provide valuable information for website designers in making website-based communication more efficient. To extract interesting or useful web access patte...
Li Shen, Ling Cheng, James Ford, Fillia Makedon, V...
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
16 years 6 months ago
Discovering significant rules
In many applications, association rules will only be interesting if they represent non-trivial correlations between all constituent items. Numerous techniques have been developed ...
Geoffrey I. Webb
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
15 years 4 months ago
Efficient Nonnegative Matrix Factorization with Random Projections
The recent years have witnessed a surge of interests in Nonnegative Matrix Factorization (NMF) in data mining and machine learning fields. Despite its elegant theory and empirical...
Fei Wang, Ping Li