Understanding User Behavior using Web Usage Mining
نویسندگان
چکیده
منابع مشابه
Understanding User Behavior using Web Usage Mining
Web usage mining is about analyzing the user interactions with a web server based on resources like web logs, click streams and database transactions. It helps in discovering the browsing patterns of the user and in relating the pages visited by him. This knowledge can be of help in making business decisions, refining the web site design to derive personalized pages. Web usage mining uses the d...
متن کاملAn Efficient Hybrid Successive Markov Model for Predicting Web User Usage Behavior using Web Usage Mining
With the continued growth and proliferation of Web services and Web based information systems, the volumes of user data have reached astronomical proportions. Analyzing such data using Web Usage Mining can help to determine the visiting interests or needs of the web user. As web log is incremental in nature, it becomes a crucial issue to predict exactly the ways how users browse websites. It is...
متن کاملUser Profiling: Web Usage Mining
Web usage mining differs from collaborative filtering in the fact that we are not interested in explicitly discovering user profiles but rather usage profiles. When preprocessing a log file we do not concentrate on efficient identification of unique users but rather try to identify separate user sessions. These sessions are then used to form the so called transactions (see [3]). In the followin...
متن کاملAn Advanced Optimal Web Intelligent Model for Mining Web User Usage Behavior using Genetic Algorithm
With the continued growth and proliferation of Web services and Web based information systems, the volumes of user data have reached astronomical proportions. Analyzing such data using Web Usage Mining can help to determine the visiting interests or needs of the web user. This type of analysis involves the automatic discovery of meaningful patterns, which represents fine grained navigational be...
متن کاملUser Interest Level Based Preprocessing Algorithms Using Web Usage Mining
Web logs take an important role to know about user behavior. Several pattern mining techniques were developed to understand the user behavior. A specific kind of preprocessing technique improves the quality and accuracy of the pattern mining algorithms. The existing algorithms have done the preprocessing activities for reducing the size of the log file and to identify the number of unique users...
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: 2010
ISSN: 0975-8887
DOI: 10.5120/162-286