Skip to main content
main-content
Top

Hint

Swipe to navigate through the chapters of this book

2020 | OriginalPaper | Chapter

Analysis of Web Usage Patterns to Identify Most Frequently Accessed Web Page by Multiple Users

share
SHARE

Abstract

All Data related to web sites that we access is stored in web logs. Increase in browsing these days has led to increase in size of these web log files. Web Mining is one technique that can be applied to these log files to mine navigational patterns. There are various types of web mining depending upon data mined Content, Usage or Structure. In this paper we focus on Mining of usage patterns: Web Usage Mining to discover most frequently accessed web page by multiple users after preprocessing of log file.
Literature
1.
go back to reference Reddy, K.S., Partha Saradhi Varma, G., Babu, I.R.: Preprocessing the web server logs an illustrative approach for effective usage mining. ACM SIGSOFT Softw. Eng. Notes 37, 1–5 (2012) Reddy, K.S., Partha Saradhi Varma, G., Babu, I.R.: Preprocessing the web server logs an illustrative approach for effective usage mining. ACM SIGSOFT Softw. Eng. Notes 37, 1–5 (2012)
2.
go back to reference Cooley, R., Mobasher, B., Srivastava, J.: Web mining: information and pattern discovery on the World Wide Web. In: Proceedings of Ninth IEEE International Conference, pp. 558–567 (1997) Cooley, R., Mobasher, B., Srivastava, J.: Web mining: information and pattern discovery on the World Wide Web. In: Proceedings of Ninth IEEE International Conference, pp. 558–567 (1997)
3.
go back to reference Frias-Martinez, E., Karamcheti, V.: A customizable behavior model for temporal prediction of web user sequences. In: WEBKDD, pp. 66–85 (2002) Frias-Martinez, E., Karamcheti, V.: A customizable behavior model for temporal prediction of web user sequences. In: WEBKDD, pp. 66–85 (2002)
4.
go back to reference Huiying, Z., Wei, L.: An intelligent algorithm of data pre-processing in web usage mining. In: Proceedings of the 5th World Congress on Intelligent Control and Automation, pp. 3119–3223. IEEE (2004) Huiying, Z., Wei, L.: An intelligent algorithm of data pre-processing in web usage mining. In: Proceedings of the 5th World Congress on Intelligent Control and Automation, pp. 3119–3223. IEEE (2004)
5.
go back to reference Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery: an overview. In: Advances in Knowledge Discovery and Data Mining, pp. 1–34. AAAI/MIT Press (1996) Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery: an overview. In: Advances in Knowledge Discovery and Data Mining, pp. 1–34. AAAI/MIT Press (1996)
6.
go back to reference Langhnoja, S., Barot, M., Mehta, D.: Pre-processing: procedure on web log file for web usage mining. Int. J. Emerg. Technol. Adv. Eng. 2(12), 419–423 (2012) Langhnoja, S., Barot, M., Mehta, D.: Pre-processing: procedure on web log file for web usage mining. Int. J. Emerg. Technol. Adv. Eng. 2(12), 419–423 (2012)
7.
go back to reference Suguna, R., et al.: User interest level based preprocessing algorithms using web usage mining. Int. J. Comput. Sci. Eng. (IJCSE) 5(09), 815–822 (2013) Suguna, R., et al.: User interest level based preprocessing algorithms using web usage mining. Int. J. Comput. Sci. Eng. (IJCSE) 5(09), 815–822 (2013)
8.
go back to reference Vijayashri, L., Madhuri, J.: Data preprocessing in web usage mining. In: Proceedings of International Conference on Artificial Intelligence and Embedded Systems (ICAIES 2012), Singapore, pp. 1–5 (2012) Vijayashri, L., Madhuri, J.: Data preprocessing in web usage mining. In: Proceedings of International Conference on Artificial Intelligence and Embedded Systems (ICAIES 2012), Singapore, pp. 1–5 (2012)
9.
go back to reference Mobasher, B.: Web usage mining in web data mining exploring hyperlinks, contents, and usage data, Chicago, USA, Ch. 12, pp. 449–482. Springer, Heidelberg (2012) Mobasher, B.: Web usage mining in web data mining exploring hyperlinks, contents, and usage data, Chicago, USA, Ch. 12, pp. 449–482. Springer, Heidelberg (2012)
10.
go back to reference Chitraa, V., Davamani, D., Selvdoss, A.: A survey on preprocessing methods for web usage data. Int. J. Comput. Sci. Inf. Secur. (IJCSIS) 7, 78–83 (2010) Chitraa, V., Davamani, D., Selvdoss, A.: A survey on preprocessing methods for web usage data. Int. J. Comput. Sci. Inf. Secur. (IJCSIS) 7, 78–83 (2010)
11.
go back to reference Cooley, R., Mobasher, B., Srivastava, J.: Data preparation for mining world wide web browsing patterns. Knowl. Inf. Syst. 1, 1–27 (1999) CrossRef Cooley, R., Mobasher, B., Srivastava, J.: Data preparation for mining world wide web browsing patterns. Knowl. Inf. Syst. 1, 1–27 (1999) CrossRef
12.
go back to reference Patil, P., Patil, U.: Preprocessing of web server log file for web mining. World J. Sci. Technol. 2, 14–18 (2012). Proceedings of National Conference on Emerging Trends in Computer Technology (NCETCT 2012) Patil, P., Patil, U.: Preprocessing of web server log file for web mining. World J. Sci. Technol. 2, 14–18 (2012). Proceedings of National Conference on Emerging Trends in Computer Technology (NCETCT 2012)
Metadata
Title
Analysis of Web Usage Patterns to Identify Most Frequently Accessed Web Page by Multiple Users
Authors
Priyanka Verma
Nishtha Kesswani
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-39875-0_16