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» Discovering decision rules from numerical data streams
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KDD
2006
ACM
272views Data Mining» more  KDD 2006»
14 years 6 months ago
YALE: rapid prototyping for complex data mining tasks
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
14 years 6 months ago
Machine learning for online query relaxation
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
Ion Muslea
FASE
2007
Springer
14 years 12 days ago
EQ-Mine: Predicting Short-Term Defects for Software Evolution
We use 63 features extracted from sources such as versioning and issue tracking systems to predict defects in short time frames of two months. Our multivariate approach covers aspe...
Jacek Ratzinger, Martin Pinzger, Harald Gall
WIA
2000
Springer
13 years 9 months ago
MONA Implementation Secrets
The Mona tool provides an implementation of the decision procedures for the logics WS1S and WS2S. It has been used for numerous applications, and it is remarkably efficient in prac...
Nils Klarlund, Anders Møller, Michael I. Sc...
ICML
2010
IEEE
13 years 7 months ago
Detecting Large-Scale System Problems by Mining Console Logs
Surprisingly, console logs rarely help operators detect problems in large-scale datacenter services, for they often consist of the voluminous intermixing of messages from many sof...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...