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ICDM
2006
IEEE
226views Data Mining» more  ICDM 2006»
16 years 23 days ago
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
Jing Gao, Pang-Ning Tan
KDD
1994
ACM
113views Data Mining» more  KDD 1994»
15 years 10 months ago
Exploration of Simulation Experiments by Discovery
: Weexemplify in this paper, howa discovery system is applied to the analysis of simulation experimentsin practical political planning, andshowwhatkind of newknowledgecan be discov...
Willi Klösgen
ACMSE
2007
ACM
15 years 10 months ago
Change propagations in the maintenance of kernel-based software with a study on Linux
As a software system evolves to accommodate new features and repair bugs, changes are needed. Software components are interdependent, changes made to one component can require cha...
Liguo Yu, Srini Ramaswamy
ISSTA
2010
ACM
15 years 10 months ago
Learning from 6, 000 projects: lightweight cross-project anomaly detection
Real production code contains lots of knowledge—on the domain, on the architecture, and on the environment. How can we leverage this knowledge in new projects? Using a novel lig...
Natalie Gruska, Andrzej Wasylkowski, Andreas Zelle...
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
15 years 10 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo