Full Text

Abstract

The use of web applications is increasing enormously and so are its users. Most of the businesses these days are running through online applications. So it is very important to access the basic information and the interests of the users. Web usage mining is the application of data mining that deals with extracting useful information from the websites. For this, log files are maintained by web servers which contain information about User Name, IP Address, Time Stamp, Access Request, Number of bytes transferred, result Status, URL, and User Agent. This paper presents survey of web usage mining, its various types, phases of web usage mining, web usage mining tools, attacks in web usage mining and applications of web usage mining.

References

1. Jaideep Srivastava, Robert Cooley, Mukund Deshpande, Pang-Ning Tan, “Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data”, Volume 1, Issue 2 - page 12, ACM, 2000.

2. Chintan R. Varnagar, Nirali N. Madhak, Trupti M. Kodinariya, Jayesh N. Rathod, “Web Usage Mining: A Review on Process, Methods and Techniques”, IEEE, 2013.

3. Olfa Nasraoui, Maha Soliman, Esin Saka, “A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites”, IEEE transactions on knowledge and data engineering, vol. 20, no. 2, February 2008.

4. V.Chitraa, Dr.Antony Selvadoss Thanamani, “A Novel Technique for Sessions Identification in Web Usage Mining Preprocessing”, International Journal of Computer Applications , Volume 34– No.9, November 2011.

5. Ankita Kusmakar, Sadhna Mishra “Web Usage Mining: A Survey on Pattern Extraction from Web Logs”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 9, September 2013.

6. Sanjeev Dhawan, Swati Goel, “Web Usage Mining: Finding Usage Patterns from Web Logs”, American International Journal of Research in Science, Technology, Engineering & Mathematics, 2013.

7. G T Raju, Nandini N, “Preprocessing of Web Usage Data for Application in Prefetching to Reduce Web Latency”, International Journal of Electrical& Computer Sciences IJECS-IJENS Vol: 14 No: 04, August, 2014.

8. Doru Tanasa, Brigitte Trousse, “Advanced Data Preprocessing for Intersites Web Usage Mining”, IEEE, 2004.

9. Roger Meyer, “Detecting Attacks on Web Applications from Log files”, SANS Institute, 2008.

10. Yi Xie, Shensheng Tang, “Online Anomaly Detection Based on Web Usage mining”, 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum, IEEE, 2012.

11. Dusan Stevanovic, Natalija Vlajic, Aijun An, “Detection of malicious and non-malicious website visitors using unsupervised neural network learning”, Applied Soft Computing, Elsevier, 2012.

12. B.Naveena Devi, Y.Rama Devi, B.Padmaja Rani, R.Rajeshwar Rao, “Design and Implementation of Web Usage Mining Intelligent System in the Field of e-commerce”, Elsevier, 2011.

13. K Sudheer Reddy, Dr. G. Partha Saradhi Varma, Dr. I. Ramesh Babu, “Preprocessing the Web Server Logs – An illustrative approach for effective usage mining”, Volume 37 Number 3, ACM, 2012.

14. P. Sampatht, C. Ramesht, T. Kalaiyarasit, S. Sumaiya Banut, G. Arul Selvan, “An Efficient Weighted Rule Mining for Web Logs Using Systolic Tree”, IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012) March 30, 31, 2012.

15. Javed Ashraf, Seemab Latif, “Handling Intrusion and DDoS Attacks in Software Defined Networks Using Machine Learning Techniques”, National Software Engineering Conference, IEEE, 2014.

Keywords

Web Usage Mining, Log files, Preprocessing, Pattern discovery, Pattern analysis