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ICAPR
2009
Springer
14 years 2 months ago
Relevant and Redundant Feature Analysis with Ensemble Classification
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
Rakkrit Duangsoithong, Terry Windeatt
IPPS
2007
IEEE
14 years 1 months ago
A Performance Prediction Framework for Grid-Based Data Mining Applications
For a grid middleware to perform resource allocation, prediction models are needed, which can determine how long an application will take for completion on a particular platform o...
Leonid Glimcher, Gagan Agrawal
JCP
2006
85views more  JCP 2006»
13 years 7 months ago
A Constructive Meta-Level Feature Selection Method based on Method Repositories
Feature selection is one of key issues related with data pre-processing of classification task in a data mining process. Although many efforts have been done to improve typical fea...
Hidenao Abe, Takahira Yamaguchi
DOLAP
2004
ACM
14 years 28 days ago
A new OLAP aggregation based on the AHC technique
Nowadays, decision support systems are evolving in order to handle complex data. Some recent works have shown the interest of combining on-line analysis processing (OLAP) and data...
Riadh Ben Messaoud, Omar Boussaid, Sabine Rabas&ea...
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
11 years 10 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...