References

El-Deen Ahmeda, R.A., M.E. Shehaba, S. Morsya and N. Mekawiea, 2015. Performance study of classification algorithms for consumer online shopping attitudes and behavior using data mining. Proceedings of the 5th International Conference on Communication Systems and Network Technologies, April 4-6, 2015, Gwalior, pp: 1344-1349.

Graepel, T., J.Q. Candela, T. Borchert and R. Herbrich, 2010. Web-scale bayesian click-through rate prediction for sponsored search advertising in microsoft's bing search engine. Proceedings of the 27th International Conference on Machine Learning April 2009, Haifa, pp: 13-20.

Hssina, B., A. Merbou, H. Ezzikouri, M. Erritali, 2014. A comparative study of decision tree ID3 and C4.5. Int. J. Adv. Comput. Sci. Applic., 2104: 13-19.

Jushmerick, N., 1999. Learning to remove internet advertisements. Proceedings of the 3rd Annual Conference on Autonomous Agents, May 1-5, 1999, Seattle, WA., USA., pp: 175-181.

Kohavi, R., 1995. The power of decision tables. Proceedings of the 8th European Conference on Machine Learning Heraclion, April 25-27, 1995, Crete, Greece, pp: 174-189.

Kumar, S. and R.K. Arora, 2015. Analyzing customer behaviour through data mining. Int. J. Comput. Applic. Technol. Res., 4: 884-888.
Direct Link  |  

Nithya, V., S.L. Pandian and R. Regan, 2013. The SQL injection attack detection and prevention by classification and analysis. Asian J. Inform. Technol., 12: 131-139.
Direct Link  |  

Sharma, T.C. and M. Jain, 2013. WEKA approach for comparative study of classification algorithm. Int. J. Adv. Res. Comput. Commun. Eng., 2: 1925-1931.
Direct Link  |  

Shatnawi, M. and N. Mohamed, 2012. Statistical techniques for online personalized advertising: A survey. Proceedings of the 27th Annual ACM Symposium on Applied Computing, March 26-30, 2012, Riva del Garda (Trento), Italy, pp: 680-687.