ANALYZING WEB LOGS OF AN ASTROLOGICAL WEBSITE USING KEY INFLUENCERS

Authors

  • Neha Goel G.G.S. Indraprastha University, New Delhi, INDIA
  • Sonia Gupta Delhi Institute of Advanced Studies, Delhi - INDIA
  • C. K. Jha Banasthali Vidyapith, Rajasthan - INDIA

DOI:

https://doi.org/10.51611/iars.irj.v5i1.2015.45

Keywords:

WEB LOGS, WEB LOG MINING, WEB USAGE MINING

Abstract

With the growth of Internet, websites have become a dynamic tool in the market for every business to both acquire and service their customers. Online presence through websites has given them a global and wider reach. Good design and well management are the two key aspects of the effective website to catch the attention of visitors. Nowadays, the analysis and behavior of website visitors can be used to convert them into customers and serve them in a better way. This can be carried out on the weblogs which are generated as a result of user’s access to a website. This paper aims to study the log files of an astrological website. An astrological website has not gained much attention in the internet community as people prefer going to the astrologers in person to resolve their problems. The log files of an astrology website were taken, preprocessed and analyzed using Analyze Key Influencers technique a feature of Microsoft SQL Server Data Mining Add-ins for Microsoft Office 2007. The information obtained can be used to enhance the effectiveness of the website.

Downloads

Download data is not yet available.

References

Chhavi Rana, “A Study of Web Usage Mining Research Tools”, International Journal of Advanced Networking and Applications, ISSN: 0975-0290, Vol: 03, Issue: 06, pp.1422-1429, 2012.
Ford Lumban Gaol, “Exploring the Pattern of Habits of Users Using Web Log Sequential Pattern”, in 2010 Second International Conference on advances in Computing, Control and Telecommunication Technologies IEEE, 2010, p. 161.
Ida Mele, “Web Usage Mining for Enhancing Search Result Delivery and helping Users to find Interesting Web content”, ACM, WSDM ’13, pp.765-769, 2013.
Jaideep Srivastava , Robert Cooley, Mukund Deshpande and Pang- Ning Tan, “Web Usage Mining : Discovery and Applications of Usage Patterns from Web Data”, ACM SIGKDD, Vol1, Issue 2, pp.1-12,Jan2000.
Jianli Duan and Shuxia Liu, “Research on Web Log Mining Analysis”, in 2012 International Symposium on Instrumentation & Measurement , Sensor Network and Automation, 2012 IEEE , p. 515.
L.K. Joshila Grace, V.Maheswari, DhinaharanNagamalai, “Analysis of Web Logs and Web User in Web Mining”, International Journal of Network Security & Its Applications (IJNSA), Vol.3, No.1, January 2011, pp 99-110
Liu Kewen , “Analysis of Preprocessing Methods for Web Usage Data”, in 2012 International Conference on Measurement, Information and Control, 2012 IEEE, p. 383.
Mahendra Pratap Yadav , Mhd Feeroz and Vinod Kumar Yadav, “Mining the Customer Behavior using Web Usage Mining in e-commerce”, in ICCCNT 2012, 26-28 July 2012, IEEE.
Naga Lakshmi, Raja Sekhara Rao and Sai Satyanarayana Reddy, “An Overview of Preprocessing on Web Log data for Web Usage Analysis”, IJITEE, ISSN: 2278-3075, Vol.2, Issue-4, pp.274-279, March 2013.
Neha Goel and Dr. C.K. Jha, “Analyzing Users Behavior from Web Access Logs Using Automated Log Analyzer Tool”, International Journal of Computer Applications (0975 – 8887) ,Vol. 62– No.2,pp.29-33, January 2013.
P. Nithya and Dr. P. Sumathi , “Novel Preprocessing Technique for Web Log Mining by removing Global Noise and Web Robots”, in 2012 National Conference on Computing and Communication Systems, 2012 IEEE.
Ramakrishnan Srikant and Yinghui Yang, “Mining Web logs to Improve Website Organization”, ACM 2001.
Ramya C, Dr. Shreedhara K S and Kavitha G,” Preprocessing: A Prerequisite for Discovering Patterns in Web Usage Mining Process “, in (ICCEI 2011) IEEE, 2011, p. 317.
Ravindra Gupta and Prateek Gupta, “Application specific web log pre-processing”, IJCTA, ISSN: 2229-6093, Vol 3(1), pp.160-162, Jan- Feb 2012.
S. K. Pani, L. Panigrahy, V.H.Sankar, Bikram Keshari Ratha, A.K.Mandal and S.K.Padhi, “Web Usage Mining: A survey on Pattern Extraction from Web Logs”,IJICA,Vol1,Issue1, ,pp.15-23,2011. [Online]. Available: http://www.loganalyzer.net/log-analyzer/w3c-extended.html
Swapna Mallipeddi, and D.N.V.S.L.S. Indira , “High Utility Mining Algorithm for Preprocessed Data”, International Journal of Computer Trends and Technology, Vol 3, Issue 3, pp. 379-386,2012.
Yoon Ho Choa, Jae Kyeong Kimb and Soung Hie Kima , “A personalized recommender system based on web usage mining and decision tree induction” , 2002 Elsevier Science Ltd.
Zhenglu Yang, Yitong Wang, Masaru Kitsuregawa, “An Effective System for Mining Web Log”, APWeb, Volume 3841 of Lecture Notes in Computer Science, Springer,2006, pp 40-52

Crossref Crossmark

Downloads

Published

2015-02-08

Issue

Section

Peer Reviewed Research Manuscript

How to Cite

“ANALYZING WEB LOGS OF AN ASTROLOGICAL WEBSITE USING KEY INFLUENCERS” (2015) IARS’ International Research Journal, 5(1). doi:10.51611/iars.irj.v5i1.2015.45.

Citations

Similar Articles

1-10 of 12

You may also start an advanced similarity search for this article.