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ESEM
2007
ACM
15 years 5 days ago
Mining Software Evolution to Predict Refactoring
Can we predict locations of future refactoring based on the development history? In an empirical study of open source projects we found that attributes of software evolution data ...
Jacek Ratzinger, Thomas Sigmund, Peter Vorburger, ...
ICML
2009
IEEE
15 years 11 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
14 years 8 months ago
Classification with Sums of Separable Functions
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...
Jochen Garcke
SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
14 years 11 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
ICDE
2001
IEEE
118views Database» more  ICDE 2001»
15 years 11 months ago
Tuning an SQL-Based PDM System in a Worldwide Client/Server Environment
The management of product-related data in a uniform and consistent way is a big challenge for many manufacturing enterprises, especially the large ones like DaimlerChrysler. So-ca...
Erich Müller, Jost Enderle, M. Feltes, Peter ...