In recent years Educational Data Mining (EDM) has emerged as a new field of research due to the development of several statistical approaches to explore data in educational context. One such application of EDM is early prediction of student results. This is necessary in higher education for identifying the "weak" students so that some form of remediation may be organized for them. In ...

CRM has been realized as a core for the growth of any enterprise. This requires both the customer satisfaction and fulfillment of customer requirement, which can only be achieved by analyzing consumer behaviors. The data mining has become an effective tool since often the organizations have large databases of information on customers. However, the traditional data mining techniques have no rele...

background we aimed to identify the indicators of healthcare fraud and abuse in general physicians’ drug prescription claims, and to identify a subset of general physicians that were more likely to have committed fraud and abuse.   methods we applied data mining approach to a major health insurance organization dataset of private sector general physicians’ prescription claims. it involved 5 ste...

data about the prevalence of communicable and non-communicable diseases, as one of the most important categories of epidemiological data, is used for interpreting health status of communities. this study aims to calculate the prevalence of outpatient diseases through the characterization of outpatient prescriptions. the data used in this study is collected from 1412 prescriptions for various ty...

background : chronic kidney disease (ckd) is a complicated kidney problem causing permanent renal failure in progressive stages. the final stage of ckd is called esrd in which most accepted management is hemodialysis (hd). arterio-venus fistula (avf) is the most practical way of making proper access to the blood circulatory system however, maturation of the avf is a challenge, since there are n...

business all around the world uses different approaches to know their customers, segment them and formulate suitable strategies for them. one of these approaches is calculating the value of each customer for the company. in this paper by calculating customer lifetime value (clv) for individual customers of an online toy store named alakdolak, three customer segments are extracted. the level of ...

decision support systems (dsss) are prevalent information systems for decision making in many competitive business environments. in a dss, decision making process is intimately related to some factors which determine the quality of information systems and their related products. traditional approaches to data analysis usually cannot be implemented in sophisticated companies, where managers need...

decision-tree algorithms provide one of the most popular methodologies for symbolic knowledge acquisition. the resulting knowledge, a symbolic decision tree along with a simple inference mechanism, has been praised for comprehensibility. the most comprehensible decision trees have been designed for perfect symbolic data. classical crisp decision trees (dt) are widely applied to classification t...

decision support systems (dsss) are prevalent information systems for decision making in many competitive business environments. in a dss, decision making process is intimately related to some factors which determine the quality of information systems and their related products. traditional approaches to data analysis usually cannot be implemented in sophisticated companies, where managers nee...