Web Usage Mining:

A Survey on Pattern Extraction from Web Logs

ABSTRACT:

As the size of web increases along with number of users, it is very much essential for the website owners to better understand their customers so that they can provide better service, and also enhance the quality of the website. To achieve this they depend on the web access log files. The web access log files can be mined to extract interesting pattern so that the user behavior can be understood. Access of web pages according to period of time, e.g. daily, monthly, yearly. This project presents an overview of web usage mining and also provides a survey of the pattern extraction algorithms used for web usage mining.

EXISTING SYSTEM:

. It allows you to keep track of user activity on your site by month, week, day and hour, to monitor total hits.

PROPOSED SYSTEM:

Is a comprehensive access log analysis tool. It allows you to keep track of activity on your site by month, week, day and hour, to monitor total hits, total visitors, total successful and page views, and to keep track of your most popular pages.

MODULE DESCRIPTION:

Number of Modules

After careful analysis the system has been identified to have the following modules:

  1. Administrator Module
  2. User Module

1. Administrator Module

Admin can extracting interesting patterns from the preprocessed web logs.

Admin can get general statistics like number of hits, no of visitors.

Admin can get access of web pages according to period of time like daily, monthly, yearly.

2.User Module

User can login and view the desire information.

User can search what they need.

NON-FUNCTIONAL REQUIREMENTS:

Software requirements:

Operating System: Windows

Technology: Java and J2EE

Web Technologies: Html, JavaScript, CSS

Web Server: Tomcat

Database: My SQL

Java Version : J2SDK1.5

Hardware requirements:

Hardware - Pentium

Speed - 1.1 GHz

RAM - 1GB

Hard Disk - 20 GB

Floppy Drive - 1.44 MB

Key Board - Standard Windows Keyboard

Mouse - Two or Three Button Mouse

Monitor - SVGA

Conclusion

There is a growing trend among companies, organizations and individuals alike to gather information through web mining to utilize that information in their best interest. But it is a challenging task for them to fulfill the user needs and keep their attention in their website. Web usage mining has valuable uses to the marketing of businesses and a direct impact to the success of their promotional strategies and internet traffic. This information is gathered on a daily, monthly, yearly and continues to be analyzed consistently. Analysis of this pertinent information will help companies to develop promotions that are more effective, internet accessibility, inter-company communication and structure, and productive marketing skills through web usage mining. If we will be able to propose an efficient algorithm for the pattern extraction that it will help in the business of the website owners to understand their customer’s behavior property so that they can fulfill their requirements.