Title :
Comparative analysis of XLMiner and WEKA for pattern classification
Author :
Subbulakshmi, C.V. ; Deepa, S.N. ; Malathi, N.
Author_Institution :
EEE Dept., Avinashilingam Univ. for Women, Coimbatore, India
Abstract :
This paper presents a comparative analysis of the open source packages XLMiner and WEKA used for pattern classification task. The artificial neural network implemented is multilayer perceptron. The Statlog (heart) dataset from UCI-MLR (University of California, Irvine) was used for analysis. The results of multilayer perceptron against their implementation in WEKA and XLMiner were encouraging and produced valuable information for healthcare organization.
Keywords :
data analysis; data mining; health care; mathematical analysis; medical computing; medical information systems; multilayer perceptrons; pattern classification; Irvine; Statlog dataset; UCI-MLR; University of California; WEKA; XLMiner; artificial neural network; data mining; discovery-driven data analysis; healthcare organization; mathematical analysis; multilayer perceptron; open source packages; pattern classification task; Data preprocessing; Data visualization; Heart; IEL; Silicon; Software; System-on-a-chip; Classification; WEKA; XLMiner;
Conference_Titel :
Advanced Communication Control and Computing Technologies (ICACCCT), 2012 IEEE International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4673-2045-0
DOI :
10.1109/ICACCCT.2012.6320821
