EVALUATION OF METHODS FOR ANALYZING GENE-GENE INTERACTION DATA FOR SURVIVAL OUTCOMES lie Zhang May 12,2011 In recent years, a number of computational and statistical problems for identifying SNP-SNP interactions in high dimensional survival data have been studied, and several data mining approaches have been proposed. However, the relative performance of these methods to detect SNP-SNP interact...

Visual data mining is a novel approach to deal with the growing flood of information. The aim is to combine traditional data mining algorithms with information visualization techniques to utilize the advantages of both approaches. In this paper we provide a short overview on visual data mining with a focus on information visualization aspects. The amounts of data collected in corporate and publ...

BACKGROUND While humans (like other primates) communicate with facial expressions, the evolution of speech added a new function to the facial muscles (facial expression muscles). The evolution of speech required the development of a coordinated action between visual (movement of the lips) and auditory signals in a rhythmic fashion to produce "visemes" (visual movements of the lips that correspo...

in despite of all progress in technology in mining industry, still labor is one of the key factors in mining operation. this paper presents a system dynamics approach to evaluate the mining labor productivity. therefore, after the identification of main effective variables, two quantitative and qualitative models were built. the qualitative model illustrates the complex interrelated structure o...

this article of focused on data mining, which is very complex to recognize the correct, new models which are potentially useful in data, hence they will be useful, and acceptable for all humans. data mining is also called the exploration of knowledge, is the process of data analysis in the different aspect to summarize them into the suitable information, which is able to increase profits and to...