Saif Ur Rehman
Assistant Professor

Ph.D (In Progress), MS, MCS (Gold Medalist)
University Institute of Information Technology
Phone : +92-51-9292195  
Cell :  
Fax :
Email : [email protected]
Address : University Institute of Information Technology, PMAS-Arid Agriculture University Rawalpindi
Work Experience : 14 Year(s)
Research Interest :
  • Data Mining
  • Business Intelligence
  • Data Warehousing
  • Databases
  • Programming Languages (C; C++; Java; Microsoft .Net Technologies; Oracle etc)
  • Total Publications : 20
    Publications (Latest Ten)
    1. S. Rehman, S. Asghar, (March, 2019): "A-RAFF: A Ranked Frequent FP-Growth Subgraph Pattern Discovery Approach," Accepted for Publication in Journal of Internet Technology, March 2019, Vol. 20, No. 2, ISSN= 1607-9264 (Thomson Reuters Master Journal List, Impact Factor: 1.301).

    2. S. Rehman and S. Asghar, (2018): "Optimized and Frequent Subgraphs: How are they related?", Published in IEEE Access, Volume 6, Issue-1, pp. 37237-37249, (Thomson Reuters Master Journal List, Impact Factor: 3.557)

    3. S. Jameel and S. Rehman, (2018): "An optimal feature selection method using a modified wrapper based Ant Colony Optimization," Published Journal of the National Science Foundation, ISSN= 139-4588 , (Thomson Reuters Master Journal List, Impact Factor: 0.42), Vol. 46. No. 2, 2018.

    4. M. Iqbal, and S. Rehman, (June, 2018): "Association Rule Mining Using Computational Intelligence Technique," Published in International Journal of Computer Science and Information Security (IJCSIS), Vol. 14, No.12, pp. 416-424, ISSN: 1947-5500, (Thomson Reuters Master Journal List).

    5. S. Rehman, S. Asghar, (2014): "Performance evaluation of frequent subgraph discovery techniques," Published In Mathematical Problems in Engineering, vol. 2014. ISSN=1024-123X. (Thomson Reuters Master Journal List, Impact Factor: 0.802).

    6. M. Iqbal, S. Rehman, S. Gillani and S. Asghar, (January, 2015): An Empirical Evaluation of Feature Selection Methods. Improving Knowledge Discovery through the Integration of Data Mining Techniques. Book Chapter, Advances in Data Mining and Database Management (ADMDM) Book Series, IGI Global.

    7. S. Rehman and N. A. Khan, (2010): "An Incremental Density-Based Clustering Technique for Large Datasets", Published in Computational Intelligence in Security for Information Systems 2010 Advances in Soft Computing, 2010, Volume 85, 3-11, DOI: 10.1007/978-3-642-16626-6_1.

    8. S. Rehman , A. Khan and S. Fong, (2012): "Graph Mining: A Survey of Graph Mining Techniques", Published in Seventh International Conference on Digital Information Management (ICDIM 2012), held at University of Macau, Macu, August 22-24, 2012

    9. S. Rehman, A. Haider, T. Afzal, and K. Aziz, (2014). Measuring the Relevancy between Tags and Citation in Social Web. Research Journal of Applied Sciences, Engineering and Technology, 7(24), 5172-5178.

    10. A. Z. Khan, S. Rehman, H. Israr, & K. Aziz, (2014) "An Enhanced Multi Density based Clustering Technique using density level Partition (EDSCANDLP), Journal of Scientific Research, 120(2).