Data preprocessing in semi-supervised SVM classification

Optimization ◽  
2011 ◽  
Vol 60 (1-2) ◽  
pp. 143-151 ◽  
Author(s):  
A. Astorino ◽  
E. Gorgone ◽  
M. Gaudioso ◽  
D. Pallaschke
Keyword(s):  
Data Preprocessing ◽  
Svm Classification

Self-localization algorithm for sensor networks using SVM classification region

2009 ◽  
Vol 29 (4) ◽  
pp. 1064-1067 ◽  
Author(s):  
Ming LIU ◽  
Ting-ing WANG ◽  
Xiao-an HUANG ◽  
Rui LIU
Keyword(s):  
Sensor Networks ◽  
Localization Algorithm ◽  
Svm Classification

Data Mining in Analysis of Biomechanical Signals

2009 ◽  
Vol 147-149 ◽  
pp. 588-593 ◽  
Author(s):  
Marcin Derlatka ◽  
Jolanta Pauk
Keyword(s):  
Data Mining ◽  
Principal Component Analysis ◽  
Cerebral Palsy ◽  
Spina Bifida ◽  
Decision Tree ◽  
Principal Component ◽  
Data Preprocessing ◽  
Component Analysis ◽  
Kernel Principal Component Analysis

In the paper the procedure of processing biomechanical data has been proposed. It consists of selecting proper noiseless data, preprocessing data by means of model’s identification and Kernel Principal Component Analysis and next classification using decision tree. The obtained results of classification into groups (normal and two selected pathology of gait: Spina Bifida and Cerebral Palsy) were very good.

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