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FGCS
2008
148views more  FGCS 2008»
14 years 9 months ago
Grid-enabling data mining applications with DataMiningGrid: An architectural perspective
The DataMiningGrid system has been designed to meet the requirements of modern and distributed data mining scenarios. Based on the Globus Toolkit and other open technology and sta...
Vlado Stankovski, Martin T. Swain, Valentin Kravts...
ICDM
2008
IEEE
97views Data Mining» more  ICDM 2008»
15 years 4 months ago
OntoDM: An Ontology of Data Mining
Motivated by the need for unification of the field of data mining and the growing demand for formalized representation of outcomes of research, we address the task of constructi...
Pance Panov, Saso Dzeroski, Larisa N. Soldatova
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
15 years 4 months ago
Algebraic visual analysis: the Catalano phone call data set case study
While many clever techniques have been proposed for visual analysis, most of these are “one of” and it is not easy to see how to combine multiple techniques. We propose an alg...
Anna A. Shaverdian, Hao Zhou, George Michailidis, ...
EUROPAR
1999
Springer
15 years 2 months ago
Parallel k/h-Means Clustering for Large Data Sets
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
Kilian Stoffel, Abdelkader Belkoniene
IDA
2003
Springer
15 years 3 months ago
Distributed Regression for Heterogeneous Data Sets
Existing meta-learning based distributed data mining approaches do not explicitly address context heterogeneity across individual sites. This limitation constrains their applicatio...
Yan Xing, Michael G. Madden, Jim Duggan, Gerard Ly...