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Title: :  Classification of Web Log Data to Identify Interested Users
PaperId: :  2334
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2334
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Herit TrivediL.j institute of engg. & Technology
Prof. Narendran LimbadL.j institute of engg. & Technology

Abstract

Computer Engineering
Web Mining, Web Data Mining, Web Usage Mining, Data Preprocessing, Log File Analysis, Web Log Mining, Associative Classification.
With the increasing demand of internet more number of website are used for getting required information and thus more usage of web-based data. Whereas the data that is stored in different type of format in form of web log file. This log file should be maintained as these data are in unsorted manner and it is done through preprocessing. Web usage mining focuses on discovering useful knowledge or information. Web log file is automatically generated by web server whenever user accesses the resource like webpage of website. Web Usage Mining consists of three steps, Data Preprocessing, Pattern Discovery and Pattern Analysis. Data Preprocessing extracts text format data form log file and store clean data into database. Pattern Discovery finds pattern, Classify data by applying mining techniques. Pattern analysis finds knowledge from the discovered pattern.The main objective of this thesis is instead of spending high amount of time in tracking the behaviour of overall users to redesign the web site, spend less amount of time in focusing interested group of users only.The existing model used Naive Bayesian Classification to identify interested group of users from web log data. In this we propose Classification based on Predictive Association Rules Mining (CPAR) algorithm to identify interested group of users and also we present a comparative study of Naive Bayesian with CPAR.

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IJARIIE Herit Trivedi, and Prof. Narendran Limbad. "Classification of Web Log Data to Identify Interested Users" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 1952-1956
MLA Herit Trivedi, and Prof. Narendran Limbad. "Classification of Web Log Data to Identify Interested Users." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 1952-1956.
APA Herit Trivedi, & Prof. Narendran Limbad. (2016). Classification of Web Log Data to Identify Interested Users. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 1952-1956.
Chicago Herit Trivedi, and Prof. Narendran Limbad. "Classification of Web Log Data to Identify Interested Users." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 1952-1956.
Oxford Herit Trivedi, and Prof. Narendran Limbad. 'Classification of Web Log Data to Identify Interested Users', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 1952-1956. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Classification_of_Web_Log_Data_to_Identify_Interested_Users_ijariie2334.pdf (Accessed : ).
Harvard Herit Trivedi, and Prof. Narendran Limbad. (2016) 'Classification of Web Log Data to Identify Interested Users', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 1952-1956IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Classification_of_Web_Log_Data_to_Identify_Interested_Users_ijariie2334.pdf (Accessed : )
IEEE Herit Trivedi, and Prof. Narendran Limbad, "Classification of Web Log Data to Identify Interested Users," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 1952-1956, May-Jun 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/Classification_of_Web_Log_Data_to_Identify_Interested_Users_ijariie2334.pdf [Accessed : ].
Turabian Herit Trivedi, and Prof. Narendran Limbad. "Classification of Web Log Data to Identify Interested Users." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 ().
Vancouver Herit Trivedi, and Prof. Narendran Limbad. Classification of Web Log Data to Identify Interested Users. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(3) : 1952-1956. Available from: https://ijariie.com/AdminUploadPdf/Classification_of_Web_Log_Data_to_Identify_Interested_Users_ijariie2334.pdf
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