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ESEM
2007
ACM
13 years 11 months ago
An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method
The quality of software measurement data affects the accuracy of project manager’s decision making using estimation or prediction models and the understanding of real project st...
Kyung-A Yoon, Oh-Sung Kwon, Doo-Hwan Bae
WSE
2003
IEEE
14 years 3 months ago
Evaluation Methods for Web Application Clustering
ing Business UML Diagrams from Web Applications G. Di Lucca, University of Sannio, Italy; A. Fasolino, P. Tramontana, U. De Carlini, University of Naples, Italy (25 min) Developmen...
Paolo Tonella, Filippo Ricca, Emanuele Pianta, Chr...
JMLR
2002
111views more  JMLR 2002»
13 years 9 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
DEXA
2009
Springer
175views Database» more  DEXA 2009»
14 years 4 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
IEEECIT
2010
IEEE
13 years 7 months ago
The Research on Teaching Method of Basics Course of Computer based on Cluster Analysis
Due to the difference between rural and urban and regional disparity of computer basic education produced at their middle school period, computer application level of the freshmen ...
ZhiXin Tie, Rong Jin, Hong Zhuang, Zhaoqing Wang