Developing a Novel Continuous Metabolic Syndrome Score: A Data Mining Based Model

M. Saffarian; V. Babaiyan; K. Namakin; F. Taheri; T. Kazemi

Volume 9, Issue 2 , April 2021, , Pages 193-202

  Today, Metabolic Syndrome in the age group of children and adolescents has become a global concern. In this paper, a data mining model is used to determine a continuous Metabolic Syndrome (cMetS) score using Linear Discriminate Analysis (cMetS-LDA). The decision tree model is used to specify the calculated ...  Read More

B.3. Communication/Networking and Information Technology
Analyzing Customers of South Khorasan Telecommunication Company with Expansion of RFM to LRFM Model

V. Babaiyan; Seyyede A. Sarfarazi

Volume 7, Issue 2 , April 2019, , Pages 331-340

  Telecommunication Companies use data mining techniques to maintain good relationships with their existing customers and attract new customers and identifying profitable/unprofitable customers. Clustering leads to better understanding of customer and its results can be used to definition and decision-making ...  Read More