In this paper, the multi-criteria decision analysis (MCDA) method weighted sum model (WSM) is applied in order to evaluate online courses uploaded in the learning management system (LMS) of the Department of Accountancy of Kavala's Institute of Technology. The linear discriminant analysis (LDA)...

The purpose of this study is to examine the factors that affect data warehousing success. The DeLone and McLean (1992) original model has been used as a backbone to construct an evaluation instrument which has been operationalised using data warehousing and IS success literature review and an...

This paper aims at exploring consumers' purchasing behaviour towards paper products that could be derived from transgenic plantations. Field interviews were conducted to a randomly selected sample of 205 consumers, who declared that they would buy such paper products. Principal Components...

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...

This paper aims to identify regional properties of product categories and consumer perception and preferences of relevant grocery retailing product categories, in the Greek Island of Crete and the three cities. The dataset for this research consists of a sample of 2,000 consumers, distributed in...

Frequent pattern evaluation is imperative for cricket match data to develop more proficient coaching strategies and progress the performance of individual players. The rapid growth in size of the match database far exceeds the human ability to analyse, thus creating an opportunity to extract...

Frequent pattern evaluation is imperative for cricket match data to develop more proficient coaching strategies and progress the performance of individual players. The rapid growth in size of the match database far exceeds the human ability to analyse, thus creating an opportunity to extract...

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...