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

http://dx.doi.org/10.22044/jadm.2018.6035.1715

Abstract
  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

H.6.4. Clustering
Grouping Objects to Homogeneous Classes Satisfying Requisite Mass

M. Manteqipour; A.R. Ghaffari Hadigheh; R. Mahmoodvand; A. Safari

Volume 6, Issue 1 , March 2018, , Pages 163-175

http://dx.doi.org/10.22044/jadm.2017.988

Abstract
  Grouping datasets plays an important role in many scientific researches. Depending on data features and applications, different constrains are imposed on groups, while having groups with similar members is always a main criterion. In this paper, we propose an algorithm for grouping the objects with random ...  Read More

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

M. Lashkari; M. Moattar

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

http://dx.doi.org/10.22044/jadm.2016.783

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