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» A General Divide and Conquer Approach for Process Mining
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KDD
2009
ACM
175views Data Mining» more  KDD 2009»
13 years 9 months ago
Multi-class protein fold recognition using large margin logic based divide and conquer learning
Inductive Logic Programming (ILP) systems have been successfully applied to solve complex problems in bioinformatics by viewing them as binary classification tasks. It remains an...
Huma Lodhi, Stephen Muggleton, Michael J. E. Stern...
SGAI
2009
Springer
13 years 11 months ago
Parallel Rule Induction with Information Theoretic Pre-Pruning
In a world where data is captured on a large scale the major challenge for data mining algorithms is to be able to scale up to large datasets. There are two main approaches to indu...
Frederic T. Stahl, Max Bramer, Mo Adda
CVPR
2006
IEEE
14 years 6 months ago
Spatial Divide and Conquer with Motion Cues for Tracking through Clutter
Tracking can be considered a two-class classification problem between the foreground object and its surrounding background. Feature selection to better discriminate object from ba...
Zhaozheng Yin, Robert T. Collins
TRIDENTCOM
2005
IEEE
13 years 10 months ago
Divide and Conquer: PC-Based Packet Trace Replay at OC-48 Speeds
Today’s Internet backbone networking devices need to be tested under realistic traffic conditions at transmission rates of OC-48 and above. While commercially available synthet...
Tao Ye, Darryl Veitch, Gianluca Iannaccone, Suprat...
COMPSAC
2006
IEEE
13 years 11 months ago
Data Structure and Algorithm in Data Mining: Granular Computing View
This paper discusses foundations of conventional style of rule mining in which rules are extracted from a data table. Rule mining mainly uses the structure of a table, data partit...
Shusaku Tsumoto