• M. NITHYA
• . P. KANMANI

Information on Internet, especially on Web sites increasing rapidly day by day. Web sites play an important role where a lot of Web users are always upload, download and brows a lot of contents based on their needs. With the fast growth of the data and information in Web environment made a necessity to use sophisticated techniques that have never used in other domains to extract knowledge and significant Web patterns. The work entitled “User Behaviour Analysis Using Ensemble Learning Algorithm in Web Mining” to predict the buying intentions of the user based on his behaviour within and outsized e-commerce website. It uses traditional machine learning techniques with the most advanced Ensemble learning approaches and it analyzes the effectiveness of various machine learning classification models for predicting personalized procedure. It utilizes individual’s phone log data. The classifier based on Ensemble learning is examined by conducting a range of experiments on the real datasets collected from individual users. The general investigational results and discussions can help both the researches and application developers to design and build intelligent Machine learning techniques for users.This approach uses Adaboost, Stacking and Bagging Methods of Ensemble learning algorithm. It helps to find out the frequently searched keyword of a user. By using this keyword, this Methodology can predict the user requirements. Adaboost support the user search and boost up the searching. Stacking methodology of Ensemble learning algorithm in support for personalized dataset analyses the database. Bagging process is use to filter the user behaviour level and final output. The quality and outcome of the chosen Ensemble learning algorithms came out the best with classification accuracy of 93.8%.

"User Behaviour Analysis Using Ensemble Learning Algorithm In Web Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.282-287, June 2019, Available :http://www.jetir.org/papers/JETIR1908656.pdf

"User Behaviour Analysis Using Ensemble Learning Algorithm In Web Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp282-287, June 2019, Available at : http://www.jetir.org/papers/JETIR1908656.pdf