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» Privacy in Data Mining Using Formal Methods
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CCS
2008
ACM
15 years 8 months ago
Minimal backups of cryptographic protocol runs
As cryptographic protocols execute they accumulate information such as values and keys, and evidence of properties about this information. As execution proceeds, new information b...
Jay A. McCarthy, Shriram Krishnamurthi
BIODATAMINING
2008
140views more  BIODATAMINING 2008»
15 years 6 months ago
Modeling gene-by-environment interaction in comorbid depression with alcohol use disorders via an integrated bioinformatics appr
Background: Comorbidity of Major Depressive Disorder (depression) and Alcohol Use Disorders (AUD) is well documented. Depression, AUD, and the comorbidity of depression with AUD s...
Richard C. McEachin, Benjamin J. Keller, Erika F. ...
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 7 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
KDD
2009
ACM
169views Data Mining» more  KDD 2009»
16 years 1 months ago
On burstiness-aware search for document sequences
As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching su...
Theodoros Lappas, Benjamin Arai, Manolis Platakis,...
ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
15 years 12 months ago
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
Eamonn J. Keogh, Jessica Lin, Wagner Truppel