PSA: A Hybrid Feature Selection Approach for Persian Text Classification
1. PSA: A Hybrid Feature Selection Approach for Persian Text Classification

Ayoub Bagheri; Mohamad Saraee; Shiva Nadi

Volume 1, Issue 4 , Summer and Autumn 2014, Pages 261-272

Abstract
  In recent decades, as enormous amount of data being accumulated, the number of text documents is increasing vastly. E-mails, web pages, texts, news and articles are only part of this ...  Read More
Improving Semi-supervised Constrained k-Means Clustering Method Using User Feedback
2. Improving Semi-supervised Constrained k-Means Clustering Method Using User Feedback

Kavan Fatehi; Arastoo Bozorgi; Mohammad Sadegh Zahedi; Ehsan Asgarian

Volume 1, Issue 4 , Summer and Autumn 2014, Pages 273-261

Abstract
  Recently, semi-supervised clustering methods have been considered by many researchers. In this type of clustering, there are some constraints and information about a small portion of ...  Read More
DOPPONENT: A Socially Efficient Preference Model of Opponent in Bilateral Multi Issue Negotiations
3. DOPPONENT: A Socially Efficient Preference Model of Opponent in Bilateral Multi Issue Negotiations

Farhad Zafari; Faria Nassiri-Mofakham; Ali Zeinal Hamadani

Volume 1, Issue 4 , Summer and Autumn 2014, Pages 283-292

Abstract
  During the last decades, opponent modeling techniques, utilized to improve the negotiation outcome, have sparked interest in the negotiation research community. In this study, we first ...  Read More
Effective Intrusion Detection with a Neural Network Ensemble Using Fuzzy Clustering and Stacking Combination Method
4. Effective Intrusion Detection with a Neural Network Ensemble Using Fuzzy Clustering and Stacking Combination Method

Mohammad Amini; Jalal Rezaeenour; Esmaeil Hadavandi

Volume 1, Issue 4 , Summer and Autumn 2014, Pages 293-305

Abstract
  Data mining techniques are widely used for intrusion detection since they have the capability of automation and improving the performance. However, using a single classification technique ...  Read More
A more Accurate Clustering Method by using Co-author Social Networks for Author Name Disambiguation
5. A more Accurate Clustering Method by using Co-author Social Networks for Author Name Disambiguation

Mohammad Hossein Nadimi; Mostafa Mosakhani

Volume 1, Issue 4 , Summer and Autumn 2014, Pages 307-317

Abstract
  Digital libraries may keep millions of citation records and bibliographic attributes such as title, authors' names, and the place of publication. Since the materials and contents in ...  Read More
A Novel Solution for Author Attribution Problem in Anonymous E-mail
6. A Novel Solution for Author Attribution Problem in Anonymous E-mail

Farahnaz Rezaeian Zadeh; Shohreh Ajoudanian

Volume 1, Issue 4 , Summer and Autumn 2014, Pages 319-327

Abstract
  Due to increasing criminal activities by anonymous E-mails in the cyber world, it is a challenging task to extract beneficial knowledge from E-mail systems. This problem in cyber world ...  Read More