Assistant Professor Dr. Nouman Azam in collaboration with Assistant Professor Mr. Taimoor Khan of Computer Science Department Peshawar campus, a mutual research paper has been accepted.
The paper titled “A Three-way Approach for Learning Rules in Automatic Knowledge-based Topic Models” has been accepted in the International Journal of Approximate Reasoning (Elsevier). The paper discusses a rough set based three-way approach for improving the quality of selected rules in automatic knowledge based topic models by incorporating multiple aspects of the quality of the rules.
The paper is co-authored with my colleague Mr. Taimoor Khan and will be part of his Ph.D. thesis.
The following are the detailed scores of the paper against different quality measures
Impact factor: 2.7
Eigen Factor: 69
Article Influence: 64
Cites per doc: 2.89
Overall it has 413/500 = 82.6% in the fast journal ranking criteria thus making it a gold category journal.
Dr. Nouman Azam
Department of Computer Science
National University of Computer and Emerging Sciences, Pakistan