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KDD
2003
ACM
210views Data Mining» more  KDD 2003»
14 years 11 months ago
Privacy-preserving k-means clustering over vertically partitioned data
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
Jaideep Vaidya, Chris Clifton
CCGRID
2009
IEEE
14 years 5 months ago
Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
Vignesh T. Ravi, Gagan Agrawal
ICDM
2006
IEEE
86views Data Mining» more  ICDM 2006»
14 years 4 months ago
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...
Byron J. Gao, Martin Ester
AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
14 years 2 months ago
On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
Tatjana Eitrich, Bruno Lang
AUSDM
2006
Springer
107views Data Mining» more  AUSDM 2006»
14 years 2 months ago
Using a Kernel-Based Approach to Visualize Integrated Chronic Fatigue Syndrome Datasets
We describe the use of a kernel
Ahmad Al-Oqaily, Paul J. Kennedy