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KDD
2010
ACM
232views Data Mining» more  KDD 2010»
15 years 10 months ago
Discovering frequent patterns in sensitive data
Discovering frequent patterns from data is a popular exploratory technique in data mining. However, if the data are sensitive (e.g. patient health records, user behavior records) ...
Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhr...
KDD
2009
ACM
187views Data Mining» more  KDD 2009»
16 years 7 months ago
New ensemble methods for evolving data streams
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...
VRML
2004
ACM
16 years 8 days ago
Interactive Web-based visualisation of block model data
Mining operations have traditionally used specialised software packages to process and visualise valuable mining data. The downside to this approach is that the information can on...
Tony Gill, Con Caris, Guy LeBlanc Smith
ML
2010
ACM
138views Machine Learning» more  ML 2010»
15 years 1 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
DAWAK
2010
Springer
15 years 4 months ago
Mining Non-redundant Information-Theoretic Dependencies between Itemsets
Abstract. We present an information-theoretic framework for mining dependencies between itemsets in binary data. The problem of closure-based redundancy in this context is theoreti...
Michael Mampaey