Browse > Article
http://dx.doi.org/10.17661/jkiiect.2019.12.6.681

User Access Patterns Discovery based on Apriori Algorithm under Web Logs  

Ran, Cong-Lin (Department of Information Technology Center, Jiujiang University,)
Joung, Suck-Tae (Department of Computer and Software Engineering, Wonkwang University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.12, no.6, 2019 , pp. 681-689 More about this Journal
Abstract
Web usage pattern discovery is an advanced means by using web log data, and it's also a specific application of data mining technology in Web log data mining. In education Data Mining (DM) is the application of Data Mining techniques to educational data (such as Web logs of University, e-learning, adaptive hypermedia and intelligent tutoring systems, etc.), and so, its objective is to analyze these types of data in order to resolve educational research issues. In this paper, the Web log data of a university are used as the research object of data mining. With using the database OLAP technology the Web log data are preprocessed into the data format that can be used for data mining, and the processing results are stored into the MSSQL. At the same time the basic data statistics and analysis are completed based on the processed Web log records. In addition, we introduced the Apriori Algorithm of Web usage pattern mining and its implementation process, developed the Apriori Algorithm program in Python development environment, then gave the performance of the Apriori Algorithm and realized the mining of Web user access pattern. The results have important theoretical significance for the application of the patterns in the development of teaching systems. The next research is to explore the improvement of the Apriori Algorithm in the distributed computing environment.
Keywords
Web Logs; Educational Data Mining; Apriori Algorithm; Access Pattern; Frequent Itemsets;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 C. Romero and S. Ventura, "Educational Data Mining: A Review of the State-of-the-Art", Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, Vol. 40, pp. 601-618, 2010.   DOI
2 Educational Data Mining. Dec. 2019. Accessed online from http://www.educationaldatamining.org/.
3 Y. Y. Liao, "The Application of Web Mining in Distance Education Platform", Proc. of 2nd International Symposium on Computer, Communication, Control and Automationn, pp. 595-597, 2013.
4 J. Zhang and Z. H. Tian, "Association-relation mining based on web logs under IIS", Huazhong Univ. of Sci. & Tech.(Nature Science Edition), Vol. 30, pp. 36-39, 2002.
5 The Apriori Algorithm. Aug. 2019. Accessed online from https://en.wikipedia.org/wiki/Apriori_algorithm.
6 G. Neelima and S. Rodda, "An Overview on Web Usage Mining", Advances in Intelligent Systems and Computing, Vol. 338, pp. 649-652, 2015.
7 Z. L. Yu, W. T. Zhang and H. Ge, "Hadoop platform based log analysis mode", Computer Engineering and design, Vol. 37, pp. 233-343, 2016.
8 Web mining. Mar. 2019. Accessed online from https://en.wikipedia.org/wiki/Web mining.
9 C. L. Ran and S. T. Joung, "Research on Data Acquisition Strategy and Its Application in Web Usage Mining", Korea Information Electron Communication Technology, Vol. 12, pp. 232-234, 2019.
10 R. Agrawal and R. Srikant, "Fast algorithms for mining association rules", Proc. of International Conference on Very Large Database, pp. 487-499, 1994.