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Analysis of Some Popularly Used Techniques of Click Stream Analysis


Affiliations
1 Department of Computer Science, Punjabi University, Patiala, India
2 University Computer Centre, Punjabi University, Patiala, India
 

Websites and other online business marketing are becoming more effective and powerful way to deal and interact with users. The research study focuses on the working and techniques of click-stream analysis. Click-Stream Analysis is a comprehensive body of data that is used for describing the sequences of all the activities that have been happened between a user's browser and the other internet resource like a website and a third party ad server. The website chosen www.indiatourandtrip.com which is used for knowing the interest of the customers so that we can enhance the business and make it better. We have used data mining techniques for the extraction of valuable data, this data have been taken in order to predict the users behaviour and their interest. The research study focus on different classifiers and the performance evaluation of each classifier is done to get better results. The main motive of this evaluation is to upgrade the tour and travel site in order to make it more convenient for booking the tour packages and hotel on reasonable value price and it’s the effective way to optimize the website for the improvement of the booking and marketing with the help of software called MATLAB.
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  • G, R.C.a.K., "An Efficient Preprocessing Methodoloy for Discovering Patterns and Clustering of Web Users using a Dynamic ART1 Neural Network," Fifth International Conference on Information Processing, 2011. Springer -Verlag.

  • Maheswara Rao.V.V.R and Valli Kumari.V, "An Enhanced Pre-Processing Research Framework for WebLog Data Using a Learning Algorithm," Computer Science and Information Technology, DOI:, pp. 1-15, 2011.

  • C. Kaushal and H. Singh, " Comparative study of recent sequential pattern mining algorithms on web clickstream data," 2015 IEEE Power, Communication and Information Technology Conference (PCITC), Bhubaneswar, 2015, pp. 652-656.

  • Losarwar, Vijayashri and Joshi, Dr. Madhuri (2012) “Data Preprocessing in Web Usage Mining”.

  • Kansara, Akshay and Patel, Swati (2013) “Improved Approach to Predict user Future Sessions using Classification and Clustering”, ISSN: 2319-7064, Volume 2, Issue 5.

  • A. Surya and D. K. Sharma, "A comparative analysis of clickstream as web page importance metric," 2013 IEEE Conference on Information & Communication Technologies, JeJu Island, 2013, pp. 776-781.

  • Qiang Su, Lu Chen, "A method for discovering clusters of e-commerce interest patterns using click-stream data" Published in: Electronic Commerce Research and Applications Volume 14, Issue 1, January–February 2015, Pages 1-13

  • Juhnyoung Lee, Mark Podlaseck, Edith Schonberg, Robert Hoch, "Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising" Published in: Applications of Data Mining to Electronic Commerce pp 59-84

  • F. Nottorf, "Modeling the clickstream across multiple online advertising channels using a Bayesian mixture of normals”, Issue 1, Volume 13, 2014, pp. 45-55.

  • Gang Kou, Chunwei Lou, "Multiple factor hierarchical clustering algorithm for large scale web page and search engine clickstream data" Published in: Annals of Operations Research August 2012, Volume 197, Issue 1, pp 123–134.

  • Navjot Kaur, Dr. Himanshu Aggarwal, “Survey of Various Techniques for WebUsage Minning” Published in: An International Journal of Engineering Sciences ISSN: 2229-6913 Issue Dec. 2011, Vol. 5.

  • Eesha Goel, “Data Warehousing and Data Mining in Business Applications” Published in: An International Journal of Engineering Sciences, Issue December 2014, Vol. 3, ISSN: 2229-6913 (Print), ISSN: 2320-0332 (Online).


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  • Analysis of Some Popularly Used Techniques of Click Stream Analysis

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Authors

Umang Goyal
Department of Computer Science, Punjabi University, Patiala, India
Neeraj Sharma
Department of Computer Science, Punjabi University, Patiala, India
Kawaljeet Singh
University Computer Centre, Punjabi University, Patiala, India

Abstract


Websites and other online business marketing are becoming more effective and powerful way to deal and interact with users. The research study focuses on the working and techniques of click-stream analysis. Click-Stream Analysis is a comprehensive body of data that is used for describing the sequences of all the activities that have been happened between a user's browser and the other internet resource like a website and a third party ad server. The website chosen www.indiatourandtrip.com which is used for knowing the interest of the customers so that we can enhance the business and make it better. We have used data mining techniques for the extraction of valuable data, this data have been taken in order to predict the users behaviour and their interest. The research study focus on different classifiers and the performance evaluation of each classifier is done to get better results. The main motive of this evaluation is to upgrade the tour and travel site in order to make it more convenient for booking the tour packages and hotel on reasonable value price and it’s the effective way to optimize the website for the improvement of the booking and marketing with the help of software called MATLAB.

References