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» Phenomenal Data Mining: From Data to Phenomena
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PAKDD
2007
ACM
130views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Deriving Private Information from Arbitrarily Projected Data
Distance-preserving projection based perturbation has gained much attention in privacy-preserving data mining in recent years since it mitigates the privacy/accuracy tradeoff by ac...
Songtao Guo, Xintao Wu
KDD
2005
ACM
123views Data Mining» more  KDD 2005»
14 years 1 months ago
Automated detection of frontal systems from numerical model-generated data
Xiang Li, Rahul Ramachandran, Sara J. Graves, Suni...
PKDD
2000
Springer
159views Data Mining» more  PKDD 2000»
13 years 11 months ago
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
WOA
2010
13 years 5 months ago
Classification of Whereabouts Patterns From Large-scale Mobility Data
Classification of users' whereabouts patterns is important for many emerging ubiquitous computing applications. Latent Dirichlet Allocation (LDA) is a powerful mechanism to e...
Laura Ferrari, Marco Mamei
PAKDD
2007
ACM
181views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Practical Issues on Privacy-Preserving Health Data Mining
Privacy-preserving data mining techniques could encourage health data custodians to provide accurate information for mining by ensuring that the data mining procedures and results ...
Huidong Jin