In this paper, a data mining approach is proposed for duration prediction of the town trips (travel time) in New York City. In this regard, at first, two novel approaches, including a mathematical and a statistical approach, are proposed for grouping categorical variables with a huge number of levels. The proposed approaches work based on the cost matrix generated by repetitive post-hoc tests f...

one of the main problems in dynamic customer segmentation is finding the dominant patterns of customer movements between different segments via time. accordingly, we concentrate on the customer dynamics in this paper and try to find different groups of customers in transmissions between segments via time. the dominant characteristics of these groups are also investigated. to obtain this objecti...

Data mining plays an important part in the healthcare sector disease prediction. Techniques of data are commonly used early detection. Diabetes is one world's greatest health challenges. A widespread chronic condition a diabetes. prediction science that increasingly growing. at stage will lead to better therapy. It necessary avoid, monitor and increase diabetes consciousness because it causes o...