This comparative analysis examines the suitability of commonly applied local cluster detection algorithms. The spatial distribution of an observed spatial crime pattern for Houston, TX, for August 2005 is examined by three different cluster detection methods, including the Geographical Analysis Machine, the Besag and Newell statistic, and Kulldorff’s spatial scan statistic. The results suggest ...

COMPARATIVE ANALYSIS OF FAMILY POULTRY PRODUCTION IN TWELVE AFRICAN

The article examines the process of innovation and knowledge sharing from a perspective that focuses on the influence that local circumstances can have. In particular, it looks at the problems of knowledge sharing between groups of professionals. It presents a comparative analysis of two studies, one involving two groups of IT professionals; the other a network of healthcare professionals. The ...

The theoretical literature concerning supply chain intermediation is surveyed to develop a framework of five intermediary states. Data collected on 134 electronic intermediaries are employed to explore correlations between intermediation states, growth strategies and firm profitability, in a sample representing both service based and commodity based intermediaries. The study finds a positive re...

Performance measurement in the health-care sector is a challenging task due to the wide variety in performance metrics and their interpretation. It is essential to develop a robust methodology to evaluate health-care performance since substantial and increasing amount of public resources are dedicated to health-care. With this goal in mind, this paper proposes a fuzzy decision making framework ...

During the last few years there is a remarkable increase in development of Data mining techniques. Nowadays, various organizations store their information as a kind of databases. So huge amount of data and their informations are available in repositories. To interpret these data, we need effective mining techniques for better performance of classifications. This helps us to take best decision a...