Knowledge Discovery from Web Usage Data: An Efficient Implementation of Web Log Preprocessing Techniques
نویسندگان
چکیده
منابع مشابه
Knowledge Discovery from Web Usage Data: Complete Preprocessing Methodology
The exponential growth of the Web in terms of Web sites and their users during the last decade has generated huge amount of data related to the user’s interactions with the Web sites. This data is recorded in the Web access log files of Web servers and usually referred as Web Usage Data (WUD). Knowledge Discovery from Web Usage Data (KDWUD) is that area of Web mining deals with the application ...
متن کاملPreprocessing on Web Server Log Data for Web Usage Pattern Discovery
World Wide Web has gained popularity because of the fact that it acts as an effective communication medium between business and end users. Company needs to have a web site which satisfies the intended needs of their end users. Users like to revisit a web site which is usable in nature. Web usage patterns of end users must be identified to improve usability on any web site. It is done with analy...
متن کاملAn Efficient Preprocessing Methodology of Log File for Web Usage Mining
Now a day, WWW has become important and huge data storage. All users' activities will be stored in log file. The log file shows the interest on the particular website. With a wide usage of internet, the log file size is growing rapidly. Web mining is the process of extracting information from web data. The raw log file won't reveal the users' accessing pattern. Thus, preprocessin...
متن کاملAn Overview of Preprocessing of Web Log Files for Web Usage Mining
With the Internet usage gaining popularity and the steady growth of users, the World Wide Web has become a huge repository of data and serves as an important platform for the dissemination of information. The users’ accesses to Web sites are stored in Web server logs. However, the data stored in the log files do not present an accurate picture of the users’ accesses to the Web site. Hence, prep...
متن کاملSequential Pattern Discovery from Web Log Data
Pattern mining from the web log data leads to discovery of usage patterns of the user who navigate the web. Patterns which appear frequently in the web log data are item-sets and sequences. In this paper, a novel algorithm Intelligent Generalized Sequential pattern (IGSP) is designed which shows better results than the Generalized Sequential Pattern (GSP) algorithm. Experiment is conducted with...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/19600-1451