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» Benchmarking Data Mining Algorithms
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KDD
2009
ACM
160views Data Mining» more  KDD 2009»
15 years 11 months ago
Clustering event logs using iterative partitioning
The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today’s even...
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangel...
ICDM
2009
IEEE
122views Data Mining» more  ICDM 2009»
15 years 11 months ago
Detecting and Interpreting Variable Interactions in Observational Ornithology Data
In this paper we demonstrate a practical approach to interaction detection on real data describing the abundance of different species of birds in the prairies east of the souther...
Daria Sorokina, Rich Caruana, Mirek Riedewald, Wes...
ICDM
2010
IEEE
216views Data Mining» more  ICDM 2010»
15 years 2 months ago
Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to Streams
The problem of finding outliers in data has broad applications in areas as diverse as data cleaning, fraud detection, network monitoring, invasive species monitoring, etc. While th...
Vit Niennattrakul, Eamonn J. Keogh, Chotirat Ann R...
PKDD
2001
Springer
104views Data Mining» more  PKDD 2001»
15 years 8 months ago
Data Reduction Using Multiple Models Integration
Large amount of available information does not necessarily imply that induction algorithms must use all this information. Samples often provide the same accuracy with less computat...
Aleksandar Lazarevic, Zoran Obradovic
KDD
2010
ACM
222views Data Mining» more  KDD 2010»
15 years 6 months ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...