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» Specification Mining with Few False Positives
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TACAS
2009
Springer
95views Algorithms» more  TACAS 2009»
13 years 11 months ago
Specification Mining with Few False Positives
Claire Le Goues, Westley Weimer
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 5 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
13 years 11 months ago
Plagiarism Detection in arXiv
We describe a large-scale application of methods for finding plagiarism and self-plagiarism in research document collections. The methods are applied to a collection of 284,834 d...
Daria Sorokina, Johannes Gehrke, Simeon Warner, Pa...
ESWA
2006
161views more  ESWA 2006»
13 years 4 months ago
Automated trend analysis of proteomics data using an intelligent data mining architecture
Proteomics is a field dedicated to the analysis and identification of proteins within an organism. Within proteomics, two-dimensional electrophoresis (2-DE) is currently unrivalle...
James Malone, Kenneth McGarry, Chris Bowerman
CIDM
2007
IEEE
13 years 5 months ago
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining
— Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, aft...
Robert Moskovitch, Ido Gus, Shay Pluderman, Dima S...