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A comparative study of sound and vibration signals in detection of rotating machine faults using support vector machine and independent component analysis

Saimurugan, M.; Ramachandran, K.I. - In: International Journal of Data Analysis Techniques and … 6 (2014) 2, pp. 188-204

shaft and bearing using support vector machine (SVM). The experiments were conducted by simulating the 12 fault conditions … reduction using independent component analysis (ICA) and classified using SVM. The obtained results of SVM and SVM with ICA are …

Persistent link: https://www.econbiz.de/10010816809

Predicting credit card customer churn in banks using data mining

Kumar, Dudyala Anil; Ravi, V. - In: International Journal of Data Analysis Techniques and … 1 (2008) 1, pp. 4-28

Forest (RF), Radial Basis Function (RBF) network and Support Vector Machine (SVM) as the constituents. The dataset was taken …

Persistent link: https://www.econbiz.de/10005753847

A new feature selection method based on support vector machines for text categorisation

Xu, Yaquan; Wang, Haibo - In: International Journal of Data Analysis Techniques and … 3 (2011) 1, pp. 1-20

As a machine intelligence paradigm, the support vector machines (SVMs) have tremendous potential for helping people to classify text document into a fixed number of predefined categories. The purpose of this paper is to discuss a new method of feature selection combined with principal component...

Persistent link: https://www.econbiz.de/10009352810

Wavelet decomposition and support vector machine for fault diagnosis of monoblock centrifugal pump

Muralidharan, V.; Sugumaran, V.; Sakthivel, N.R. - In: International Journal of Data Analysis Techniques and … 3 (2011) 2, pp. 159-177

presents the use of support vector machine (SVM) algorithm for fault diagnosis through discrete wavelet features extracted from … computed for different types of classifiers such as artificial neural network (ANN), support vector machine (SVM) and J48 …

Persistent link: https://www.econbiz.de/10009352827

Predicting credit card customer churn in banks using data mining

Kumar, Dudyala Anil; Ravi, V. - In: International Journal of Data Analysis Techniques and … 1 (2008) 1, pp. 4-28

Forest (RF), Radial Basis Function (RBF) network and Support Vector Machine (SVM) as the constituents. The dataset was taken …

Persistent link: https://www.econbiz.de/10008563411

Supervised learning approaches and feature selection - a case study in diabetes

Praharsi, Yugowati; Miaou, Shaou-Gang; Wee, Hui-Ming - In: International Journal of Data Analysis Techniques and … 5 (2013) 3, pp. 323-337

learning methods such as k-nearest neighbour (k-NN), support vector data description (SVDD) and support vector machine (SVM …

Persistent link: https://www.econbiz.de/10010682873