H.3. Artificial Intelligence
1. Ensemble Classification and Extended Feature Selection for Credit Card Fraud Detection

F. Fadaei Noghani; M. Moattar

Volume 5, Issue 2 , Summer 2017, , Pages 235-243

Abstract
  Due to the rise of technology, the possibility of fraud in different areas such as banking has been increased. Credit card fraud is a crucial problem in banking and its danger is over increasing. This paper proposes an advanced data mining method, considering both feature selection and decision cost ...  Read More

H.6.4. Clustering
2. Improved COA with Chaotic Initialization and Intelligent Migration for Data Clustering

M. Lashkari; M. Moattar

Volume 5, Issue 2 , Summer 2017, , Pages 293-305

Abstract
  A well-known clustering algorithm is K-means. This algorithm, besides advantages such as high speed and ease of employment, suffers from the problem of local optima. In order to overcome this problem, a lot of studies have been done in clustering. This paper presents a hybrid Extended Cuckoo Optimization ...  Read More