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» Privacy in Data Mining Using Formal Methods
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ICICS
2005
Springer
16 years 4 days ago
Private Itemset Support Counting
Private itemset support counting (PISC) is a basic building block of various privacy-preserving data mining algorithms. Briefly, in PISC, Client wants to know the support of her i...
Sven Laur, Helger Lipmaa, Taneli Mielikäinen
ICAI
2004
15 years 8 months ago
Inductive System Health Monitoring
- The Inductive Monitoring System (IMS) software was developed to provide a technique to automatically produce health monitoring knowledge bases for systems that are either difficu...
David L. Iverson
DEXAW
2009
IEEE
131views Database» more  DEXAW 2009»
16 years 1 months ago
Clustering of Short Strings in Large Databases
—A novel method CLOSS intended for textual databases is proposed. It successfully identifies misspelled string clusters, even if the cluster border is not prominent. The method ...
Michail Kazimianec, Arturas Mazeika
WSDM
2010
ACM
203views Data Mining» more  WSDM 2010»
16 years 4 months ago
Query Reformulation Using Anchor Text
Query reformulation techniques based on query logs have been studied as a method of capturing user intent and improving retrieval effectiveness. The evaluation of these techniques...
Van Dang, Bruce W. Croft
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
16 years 28 days ago
Semi-supervised Clustering Using Bayesian Regularization
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang