Data mining can be a powerful tool for information extraction from large amounts of data. One of the techniques used to enhance the information extraction process is data reduction. Based on manufacturing industry data collected from US Economic Census, we use as an example the construction of a...

Today, the data related to business, finance and healthcare pose problems for Privacy-Preserving Data Mining (PPDM). Privacy regulations and concerns prevent data owners from sharing data for mining purposes. To circumvent this problem, data owners must design strategies to meet privacy...

Today, the data related to business, finance and healthcare pose problems for Privacy-Preserving Data Mining (PPDM). Privacy regulations and concerns prevent data owners from sharing data for mining purposes. To circumvent this problem, data owners must design strategies to meet privacy...

This paper proposes a modified bacterial foraging technique (BFT) to train wavelet neural network (WNN) in order to predict bankruptcy in banks. The BFT is modified in that the swarming step that implements cell-to-cell interaction is deleted. The parameters translation, dilation and the weights...

Data description and classification are important tasks in supervised learning. In this study, three supervised learning methods such as k-nearest neighbour (k-NN), support vector data description (SVDD) and support vector machine (SVM) are considered because they do not suffer from the problem...

In this paper, we solve the customer credit card churn prediction via data mining. We developed an ensemble system incorporating majority voting and involving Multilayer Perceptron (MLP), Logistic Regression (LR), decision trees (J48), Random Forest (RF), Radial Basis Function (RBF) network and...

In this paper, we solve the customer credit card churn prediction via data mining. We developed an ensemble system incorporating majority voting and involving Multilayer Perceptron (MLP), Logistic Regression (LR), decision trees (J48), Random Forest (RF), Radial Basis Function (RBF) network and...