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Reseach Article

Analyzing the Usage Pattern of University Website using Apriori Algorithm through Frequent Item set Generation

by S. Muthu Mari, T. Meyyappan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 100 - Number 15
Year of Publication: 2014
Authors: S. Muthu Mari, T. Meyyappan
10.5120/17604-8311

S. Muthu Mari, T. Meyyappan . Analyzing the Usage Pattern of University Website using Apriori Algorithm through Frequent Item set Generation. International Journal of Computer Applications. 100, 15 ( August 2014), 40-46. DOI=10.5120/17604-8311

@article{ 10.5120/17604-8311,
author = { S. Muthu Mari, T. Meyyappan },
title = { Analyzing the Usage Pattern of University Website using Apriori Algorithm through Frequent Item set Generation },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 100 },
number = { 15 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 40-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume100/number15/17604-8311/ },
doi = { 10.5120/17604-8311 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:30:04.828910+05:30
%A S. Muthu Mari
%A T. Meyyappan
%T Analyzing the Usage Pattern of University Website using Apriori Algorithm through Frequent Item set Generation
%J International Journal of Computer Applications
%@ 0975-8887
%V 100
%N 15
%P 40-46
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data Mining plays important role in finding previously unknown patterns from huge volume of data. The data mining extends its branches in many areas in which Web Mining is one of the important arena. Analyzing the web usage and its content becomes very important aspect. The web log servers are maintained to estimate total number of usage of the pages in websites. It holds the details such as the Internet Protocol Address of the user, Session, Browser as well as cookies information along with the date and time of visit. To find the effective pattern analysis and collecting the interesting patterns in website (web mining), association rule mining, clustering techniques were employed. Apriori is a classic algorithm for learning association rules. In this paper, the Web server log is analyzed into two different ways. Frequent pattern and analyzed with IP address of the visitor and also with time of visit. Based on the two refinements the Apriori algorithm generates the mined patterns that occur frequently.

References
  1. Ankit R Kharwar,Viral Kapadia,Nilesh Prajapati,Premal Patel,"Implementing APRIORI Algorithm on Web serve log",National Conference on Recent Trends in Engineering & Technology,B. V. M. Engineering College, V. V. Nagar,Gujarat,India,13-14 May 2011.
  2. Ashok Kumar. D and Loraine charlet Annie M. C, "Web Log mining Using K – Priori Algorithm", in International Journal of Computer Applications, Vol 41, No 11, March 2012, pp: 16-20.
  3. Han J. , Pei J. , Yin Y,"Mining frequent patterns without candidate generation: A frequent-pattern tree approach "DataMining and Knowledge, 2003.
  4. Ilayaraja M and Meyyappan T, "Mining medical data to identify frequent diseases using Apriori algorithm", Pattern Recognition, Informatics and Mobile Engineering (PRIME), 2013 International Conference,ISBN:978-1-4673-5843-9,21-22 Feb. 2013.
  5. Jiawei Han, Micheline Kamber. Data Mining Concepts and Techniques, Beijing: China Machine Press, 2001, p290-297
  6. Jogi. Suresh and T. Ramanjaneyulu,"Mining Frequent Itemsets Using Apriori Algorithm", International Journal of Computer Trends and Technology (IJCTT) - volume4Issue4 –April 2013
  7. Kirti S. Patil, Sandip S. Patil,"Sequential Pattern Mining Using Apriori Algorithm & Frequent Pattern Tree Algorithm", IOSR Journal of Engineering (IOSRJEN)e-ISSN: 2250-3021, p-ISSN: 2278-8719Vol. 3, Issue 1 (Jan. 2013), ||V4|| PP 26-30.
  8. Latheefa. V and Rohini. V,"Web Mining Patterns Discovery and Analysis Using Custom-Built Apriori Algorithm",International Journal of Engineering Inventions,e-ISSN: 2278-7461, p-ISSN: 2319-6491, Volume 2, Issue 5 (March 2013) PP: 16-21.
  9. Pooja Sharma and Rupali Bhartiya, "An Efficient Algorithm for Improved Web Usage Mining", in International Journal of Computer Technology and Applications, Volume 3, Issue:002,pp. 766-769.
  10. Sandeep Singh Rawat, Lakshmi Rajamani, "Discovering Potential User Browsing Behaviors Using Custom-Built Apriori Algorithm", International journal of computer science & information Technology (IJCSIT) Vol. 2, No. 4, August 2010.
  11. B. Santhosh Kumar, K. V. Rukmani , "Implementation of Web Usage Mining Using APRIORI and FP Growth Algorithms" , Int. J. of Advanced Networking and Applications Volume:01, Issue:06, Pages: 400-404 (2010).
  12. Wang Tong,HE Pi-lian," Web Log Mining by an Improved AprioriAll Algorithm",World Academy of Science, Engineering and Technology 4 2007.
  13. Quingyu Zhang and Richard s. Segall, 2008, "Web Mining: A Survey of current research, Techniques and Software", in International Journal of Information Technology and Decision Making, Volume. 07, Issue: 04, pp-683-720.
Index Terms

Computer Science
Information Sciences

Keywords

Apriori Algorithm Web Mining Web Usage Association Rules Internet Protocol address