Web Usage Characterization for System Performance Improvement

  • Alehegn KindieEmail author
  • Adane Mamuye
  • Biniyam Tilahun
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 244)


Web usage mining discovers patterns of user behaviors from web log files. In this study web usage mining is employed to identify business-critical and non-business critical web traffics in University of Gondar. Apriori and FP tree algorithms are applied to extract the web browsing behavior in terms of frequently accessed sites along with their web traffics. Our research findings can be used as an input for bandwidth management and system performance improvement.


Web usage characterization Web usage mining Pattern discovery 


  1. 1.
    Vellingiri, J., Pandian, S.C.: Survey on web usage mining. Glob. J. Comput. Sci. Technol. 11(4) (2011)Google Scholar
  2. 2.
    Munilatha, R., Venkataramana, K.: A study on issues and techniques of web mining. Int. J. Comput. Sci. Mob. Comput. Mon. J. Comput. Sci. Inf. Technol. 3(5) (2014)Google Scholar
  3. 3.
    Madhak, N.N., Kodina, T.M., Jayesh N. Varnagar, R.C.R.: Web usage mining using association rule mining on clustered data for pattern discovery. Int. J. Data Min. Tech. Appl. 2(1) (2013)Google Scholar
  4. 4.
    Vijiyarani, S., Suganya, E.: Research issues in web mining. Int. J. Comput.-Aided Tech. (IJCAx) 2(3), 55–64 (2015)Google Scholar
  5. 5.
    Santhosh Kumar, B., Rukmani, K.V.: Implementation of web usage mining using apriori and FP growth algorithms. J. Adv. Netw. Appl. 1(6), 400–404 (2010)Google Scholar
  6. 6.
    Oskouei, R.J.: Identifying students behaviors related to internet usage patterns. IEEE Computer Science and Engineering Department Motilal Nehru National Institute Of Technology Allahabad (2010)Google Scholar
  7. 7.
    Amutha, K., Devapriya, M.: Web mining: a survey paper. Int. J. Comput. Trends Technol. (IJCTT) 4(9), 3038–3042 (2013)Google Scholar
  8. 8.
    Uma Maheswari, B., Sumathi, P.: A comparative study of rule mining based web usage mining algorithms. Int. J. Sci. Res. (IJSR) 4(11), 2540–2543 (2015)CrossRefGoogle Scholar
  9. 9.
    Parvatikar, S., Joshi, B.: Analysis of user behavior through web usage mining. Int. J. Comput. Appl. (09750–8887) 27–31 (2014)Google Scholar
  10. 10.
    Han, J., Kamber, M.: Data Mining: Concepts and Techniques. 2nd edn, pp. 243–246. Elsevier, Amsterdam (2006)Google Scholar
  11. 11.
    Kumar, R., Tomkins, A.: A characterization of online browsing behavior. In: International World Wide Web Conference Committee (IW3C2), 26–30 April 2010Google Scholar
  12. 12.
    Srivastava, J., Cooley, R.: Web usage mining: discovery and applications of usage patterns from web data. SIGKDD Explor. 1(2), 12 (2000)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  1. 1.Faculty of InformaticsUniversity of GondarGondarEthiopia
  2. 2.Department of Health InformaticsUniversity of GondarGondarEthiopia

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