This study investigated the nature and causes of unsafe driving behavior at roundabouts through an on-road study. Four urban double-lane with different layouts were selected for Sixty-six drivers (41 males 25 females) aged 18–65 years took part in Unsafe behaviors observed during situ survey divided into three categories: entry behaviors, circulation exit behaviors. Three chi-square automatic i...

In this paper, the investment portfolio is formed based on the data mining algorithm of CHAID on the basis of the risk status criteria. In the next step, the second investment portfolio is created based on the decision rules extracted by the DEA-BCC model. The final portfolio is created through a two-objective mathematical programming model based on the Imperialist Competitive algorithm.

Email marketing is increasingly recognized as an effective Internet marketing tool. In this study, a questionnaire is constructed and distributed to a sample of 146 prospects of Aditi Technologies to find the factors associated with higher response rates. The collected data is analyzed using Factor Analysis and the 11 factors, From Line, Subject Line, Personalization of the subject line, Timing...

One of the biggest problems of SMEs is their tendencies to financial distress because of insufficient finance background. In this study, an Early Warning System (EWS) model based on data mining for financial risk detection is presented. CHAID algorithm has been used for development of the EWS. Developed EWS can be served like a tailor made financial advisor in decision making process of the fir...

Decision tree methodology is a commonly used data mining method for establishing classification systems based on multiple covariates or for developing prediction algorithms for a target variable. This method classifies a population into branch-like segments that construct an inverted tree with a root node, internal nodes, and leaf nodes. The algorithm is non-parametric and can efficiently deal ...