Skip to main content

2020 | OriginalPaper | Buchkapitel

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

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

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.

Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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)
Metadaten
Titel
Analysis of Web Usage Patterns to Identify Most Frequently Accessed Web Page by Multiple Users
verfasst von
Priyanka Verma
Nishtha Kesswani
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-39875-0_16