Purpose – The aim of this paper is twofold. On the one hand, it intends to analyze the influence of human capital and social capital on the second of the stages in the process of entrepreneurial creation established by Shane and Venkataraman (2000), the discovery of opportunities for creating a business. Secondly, it aims to analyze the existence of gender differences both in the discovery of o...

Given the explosive growth of customer and transactional information, data mining can potentially discover new knowledge to improve managerial decision making in marketing. This study proposes an innovative approach to data mining using Bayesian Networks and evolutionary programming and applies the methods to direct marketing data. The results suggest that this approach to knowledge discovery c...

The epidemiological question of concern here is " can young children at risk of obesity be identified from their early growth records? " Pilot work using logistic regression to predict overweight and obese children demonstrated relatively limited success. Hence we investigate the incorporation of non-linear interactions to help improve accuracy of prediction; by comparing the result of logistic...

An efficient and accurate measurement of congestion intensity helps investigate the traffic conditions at different road classes and provides useful information for transportation planning and traffic operation improvement. However, the existing traffic congestion intensity measurement models often suffer from two major problems: one is that there is no generally accepted method that can be use...

This study compares the predictive performance of three neural network methods, namely the Learning Vector Quantization, the Radial Basis Function, and the Feedforward network that uses the conjugate gradient optimization algorithm, with the performance of the logistic regression and the backpropagation algorithm. All these methods are applied to a dataset of 139 matched-pairs of bankrupt and n...

Trying to understand the experimental data on segmentation of a speech signal by a principle "Voice/Unvoice" has led us to the hypothesis about a pair of logistical dependence between durations of these segments. The segmentation was carried out with the help of the computer program working in quasi real time. The hypothesis about logistic recurrent dependence for sequence of segments durations...

This study explores the extent to which farmers in the Three Gorges Reservoir area remain highly dependent on agriculture despite rapid urbanization and industrialization. The study focuses on the factors that determine a household’s choice of livelihood strategy, with a particular focus on the production of and dependence on agricultural products. Using a sustainable livelihoods approach and s...

In this paper we train a logistic regression function for two forms of link prediction among a set of 244 suspected terrorists in a social network. We train and test on a dataset created at the University of Maryland and further modified at UCSD by Eric Doi and Ke Tang [2]. The supposed terrorists have several labels for the nature of their links to other supposed terrorists; terrorists are cla...

In this paper, we introduce a new restricted Bayesian network classifier that extends naive Bayes by relaxing the conditional independence assumptions, and show that it is partly generative and partly discriminative. Experimental results show that the hybrid classifier performs better than a purely generative classifier (naive Bayes) or a purely discriminative classifier (Logistic Regression) a...

Financial services have been a recurrent subject of a multichannel inquiry but investigation into the wealth management area is scarce. This paper intends to fill the gap and presents the results of a questionnaire directed at customers of a financial conglomerate. The objective of this research is to examine which variables influence consumers’ channel preferences in the wealth management cont...