Scientific Map of Papers Related to Data Mining in Civilica Database Based on Co-Word Analysis

Document Type : Original Article

Authors

1 Tarbiat Modares University Tehran,Iran

2 Tarbiat Modares University Tehran, Iran

Abstract

Today, due to the large volume of data and the high speed of data production, it is practically impossible to analyze data using traditional methods. Meanwhile, data mining, as one of the most popular topics in the present century, has contributed to the advancement of science and technology in a number of areas. In the recent decade, researchers have made extensive use of data mining to analyze data. One of the most important issues for researchers in this field is to identify common mainstreams in the fields of data mining and to find active research fields in this area for future research. On the other hand, the analysis of social networks in recent years as a suitable tool to study the present and future relationships between the entities of a network structure has attracted the researcher’s scrutiny. In this paper, using the method of co-occurrence analysis of words and analysis of social networks, the scientific structure and map of data mining issues in Iran based on papers indexed during the years 1388 to 1398 in the Civilica database is drawn, and the thematic trend governing research in this area has been reviewed. The results of the analysis show that in the category of data mining, concepts such as clustering, classification, decision tree, and neural network include the largest volume of applications such as data mining in medicine, fraud detection, and customer relationship management have had the greatest use of data mining techniques.

Keywords

References

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Babak Teimourpour received his B.Sc in Industrial Engineering, Sharif University, Tehran, Iran in1996 and received his M.Sc. degree in Socio-Economic Systems Engineering, Institute for Research on Planning and Developement, Tehran, Iran in 1998. Also he received his Ph.D. in Industrial Engineering at Tarbiat Modares University, Tehran, Iran in 2010. His research interests include data mining, social network analysis.

 

 

 

Meysam Alavi was born in 1982 in Hamadan, Iran. He received his B.Sc. and an M.Sc. degree in Computer Engineering - Software in 2005 and 2010 respectively. Currently, he is an M.Sc. student in Information Technology at Tarbiat Modares University. His research interests include medical image processing, machine learning, data mining, social network analysis.

 

 

 

Fateme Shahrabi Farahani was born in 1993 in Tehran. She received her B.Sc. in Information Technology Engineering from the Department of Electrical and Computer Engineering, University of Tehran in 2016. Currently, she is an M.Sc. student in Information Technology at Tarbiat Modares University. Her research interests include data science and social network analysis.

 

Mina Ghasemi was born in 1991. She received her B.Sc. in Computer Engineering from Payam Noor University in 2015 and M.S. degree in Information Technology from Tarbiat Modares University in 2020. Her research interests include machine learning and bioinformatics.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

International Journal of Web Research
Volume 3, Issue 1
Spring-Summer
June 2020
Pages 11-18

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