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AUSDM
2006
Springer
106views Data Mining» more  AUSDM 2006»
13 years 8 months ago
A Case-Based Data Mining Platform
Xingwen Wang, Joshua Zhexue Huang
AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
13 years 8 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»
13 years 8 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
AUSDM
2006
Springer
125views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Investigating the Size and Value Effect in Determining Performance of Australian Listed Companies: A Neural Network Approach
This paper explores the size and value effect in influencing performance of individual companies using backpropagation neural networks. According to existing theory, companies wit...
Justin Luu, Paul J. Kennedy
AUSDM
2006
Springer
136views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Data Mining in Conceptualising Active Ageing
The concept of older adults contributing to society in a meaningful way has been termed `active ageing'. We present applications of data mining techniques on the active agein...
Richi Nayak, Laurie Buys, Jan Lovie-Kitchin