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A Study of Web Mining Application on E-Commerce using Google Analytics Tool
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 149 - Number 11 |
| Year of Publication: 2016 |
| Authors: Y. Thushara, V. Ramesh |
10.5120/ijca2016911610
|
Y. Thushara, V. Ramesh . A Study of Web Mining Application on E-Commerce using Google Analytics Tool. International Journal of Computer Applications. 149, 11 ( Sep 2016), 21-26. DOI=10.5120/ijca2016911610
Abstract
Web mining is the application of data mining techniques to ascertain knowledge from WWW. Web mining is applied in E-Commerce to know the browsing behavior of customers. The problem in E-Commerce is we don’t have any idea about our visitors till they place an order, after that you will be able to gain access to significant personal information from the sale. The main aim of this work is define a good alternative to stay successful in E-Commerce business by understand customers better. The objective of the research work is to analysis what appear interesting the visitor to buy user product. Web Usage Mining allows the seller to observe, examine and discover patterns from composed information to form a primary statistical basis for decision making. The method of research work is defined by the precondition to properly use Web Usage Mining is to gather qualitative visitor data, that is to become able to know, whether a visitor has followed a link to get to a seller’s shop, whether a convinced product has placed a seller’s site first in a search engine etc. The research work is best used for E-Commerce business categories and development purpose. To analyze the visitor click stream of event generation we using Google Analytics Tool. This study discusses about the existing approach of tracing visitor data and highlights its shortcoming and rectifying them to gains a huge success in the field of E-Commerce. This approach will guide E-Commerce business into a profitable point in economy. This ability can help a vendor to track visitors and viewed goods that can visualize the way visitors use their E-Commerce superstore and categorize them so the seller can respond to their particular needs.
References
- Vivek Dogne, Anurag Jain, Susheel Jain (2015), “Evolving Trends and its Application in Web Usage Mining: A Survey”, International Journal of Soft Computing and Engineering , Vol-4 No-6,PP:98-102.
- Shanmuga Priya.V, Sakthivel.S (2013), “An Implementation Of Web Personalization Using Web Mining Techniques”, International Journal of Computer Science and Mobile Computing, Vol. 2, No. 6,PP:145 – 150.
- Suhasini Parvatikar ,Bharti Joshi(2014), “Analysis of User Behaviour through Web Usage Mining”, International Conference on Advances in Science and Technology,PP:27-32.
- Ravinder Singh, BhumikaGarg (2014),“Hybrid Approach for Performance of Web Page Response through Web Usage Mining”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 4, No. 7, PP:1069-1073.
- Shanthi.R ,Dr.Rajagopalan S.P (2013), “An Efficient Web Mining Algorithm To Mine Web Log Information”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 1, No 7, PP:1491-1500.
- Munilatha .R, K.Venkataramana (2014), “A Study On Nos And Techniques Of Web Mining”, International Journal of Computer Science and Mobile Computing, Vol. 3, No. 5, May 2014, PP.331 – 341.
- PankajM.Meshram, GauriA.Chaudhary(2014), “ Mining of Web Logs Using Preprocessing and Clustering”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 2, No 12, PP:7543-7546.
- Menaka .P,Prathimadevi .A(2015), “A Survey on Web Mining and Its Techniques”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol 5, No 9,PP:276-280.
- NehaSharma &PawanMakhija(2015), “Web usage Mining: A Novel Approach for Web user Session Construction”, Global Journal of Computer Science and Technology: E Network, Web & Security Vol.15 , No 3,PP:15-20.
- Mohammad Amin Omidvar, Vahid Reza Mirabi And NarjesShokry(2011), “Analyzing The Impact Of Visitors On Page Views With Google Analytics”, International Journal of Web & Semantic Technology,Vol.2, No.1,PP:14-32.
- Karthik.M, Swathi.S(2013), “Secure web mining framework for e- commerce websites”, International Journal of Computer Trends and Technology (IJCTT) - vol4 No.5,PP:1042-1046.
- GopalPandey, Swati Patel, VidhuSinghal, AkshayKansara(2013), “A Process Oriented Perception of Personalization Techniques in Web Mining”, International Journal of Science and Modern Engineering Vol-1, No-2,PP:26-30
- ChhaviRana (2012),“A Study of Web Usage Mining Research Tools”,Int. J. Advanced Networking and Applications, Vol.3, No.6, PP:1422-1429.
- BhavnaBeri, Parminder(2013), “Web Analytics: Increasing Website's Usability and Conversion Rate ”, International Journal of Computer Applications,Vol.72– No.6, PP:35-39.
- AnkitaKusmakar,Sadhna Mishra(2013), “ Web Usage Mining: A Survey on Pattern Extraction from Web Logs”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol 3, No 9, PP:834-839.
- Ananthi.J(2014), “A Survey Web Content Mining Methods and Applications for Information Extraction from Online Shopping Sites”, International Journal of Computer Science and Information Technologies, Vol. 5 (3) ,PP: 4091-4094.
- AmitPratap Singh, Dr. Jain . R.C (2014), “ A Survey on Different Phases of Web Usage Mining for Anomaly User Behaviour Investigation”, International Journal of Emerging Trends & Technology in Computer Science, Vol.3, No 3,PP:70-75.
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