Mohammadali Nematbakhsh

Work place: Department of Computer Engineering, University of Isfahan, Isfahan, 8174673441, Iran



Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Operating Systems, Systems Architecture, Database Management System, World Wide Web, Data Structures and Algorithms


Mohammad Ali Nematbakhsh is an associate professor of computer engineering Department at the University of Isfahan. He received his B.Sc. in Electrical Engineering from Louisiana Tech University in 1981 and his M.Sc. and PhD degrees in Electrical and Computer Engineering from the University of Arizona in 1983 and 1987, respectively. He worked for Micro Advanced Co. and Toshiba Corporation in USA and Japan for many years before joining The University of Isfahan. He has published more than 100 research papers, three U.S. registered patents and a database book that is widely used in universities. His main research interests include semantic web and database systems.

Author Articles
Improving the Efficiency of Term Weighting in Set of Dynamic Documents

By Mehdi Jabalameli Ala Arman Mohammadali Nematbakhsh

DOI:, Pub. Date: 8 Feb. 2015

In real information systems, there are few static documents. On the other hand, there are too many documents that their content change during the time that could be considered as signals to improve the quality of information retrieval. Unfortunately, considering all these changes could be time-consuming. In this paper, a method has been proposed that the time of analyzing these changes could be reduced significantly. The main idea of this method is choosing a special part of changes that do not make effective changes in the quality of information retrieval; but it could be possible to reduce the analyzing time. To evaluate the proposed method, three different datasets selected from Wikipedia. Different factors have been assessed in term weighting and the effect of the proposed method investigated on these factors. The results of empirical experiments showed that the proposed method could keep the quality of retrieved information in an acceptable rate and reduce the documents’ analysis time as a result.

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