D. Data
1. An Evolutionary Multi-objective Discretization based on Normalized Cut

M. Hajizadeh-Tahan; M. Ghasemzadeh

Volume 8, Issue 1 , Winter 2020, , Pages 25-37

Abstract
  Learning models and related results depend on the quality of the input data. If raw data is not properly cleaned and structured, the results are tending to be incorrect. Therefore, discretization as one of the preprocessing techniques plays an important role in learning processes. The most important ...  Read More

C.5. Operating Systems
2. Analytical evaluation of an innovative decision-making algorithm for VM live migration

M. Tajamolian; M. Ghasemzadeh

Volume 7, Issue 4 , Autumn 2019, , Pages 589-596

Abstract
  In order to achieve the virtual machines live migration, the two "pre-copy" and "post-copy" strategies are presented. Each of these strategies, depending on the operating conditions of the machine, may perform better than the other. In this article, a new algorithm is presented that automatically decides ...  Read More

H.3.8. Natural Language Processing
3. Comparing k-means clusters on parallel Persian-English corpus

A. Khazaei; M. Ghasemzadeh

Volume 3, Issue 2 , Summer 2015, , Pages 203-208

Abstract
  This paper compares clusters of aligned Persian and English texts obtained from k-means method. Text clustering has many applications in various fields of natural language processing. So far, much English documents clustering research has been accomplished. Now this question arises, are the results of ...  Read More

4. QoS-Based web service composition based on genetic algorithm

Mohammad AllamehAmiri; Vali Derhami; Mohammad Ghasemzadeh

Volume 1, Issue 2 , Summer 2013, , Pages 63-73

Abstract
  Quality of service (QoS) is an important issue in the design and management of web service composition. QoS in web services consists of various non-functional factors, such as execution cost, execution time, availability, successful execution rate, and security. In recent years, the number of available ...  Read More

5. An Improved Algorithm for Network Reliability Evaluation

Mohammad Ghasemzadeh

Volume 1, Issue 1 , Winter 2013, , Pages 19-25

Abstract
  Binary Decision Diagram (BDD) is a data structure proved to be compact in representation and efficient in manipulation of Boolean formulas. Using Binary decision diagram in network reliability analysis has already been investigated by some researchers. In this paper we show how an exact algorithm for ...  Read More