User Behavior Prediction Using Enhanced Pattern Tree Data Structure and 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...
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Web usage mining is to discover useful patterns in the web usage data, and the patterns provide useful information about the user’s browsing behavior. This chapter examines different types of web usage traversal patterns and the related techniques used to uncover them, including Association Rules, Sequential Patterns, Frequent Episodes, Maximal Frequent Forward Sequences, and Maximal Frequent S...
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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...
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Web Usage Mining is an important type of Web Mining, which deals with extraction of interesting knowledge from the web log files. The lots of research has done in this field but basically this paper emphasize on user future next request prediction using web log record, click streams record and user information. The aim of this paper is to provide past, current evaluation and update in web usage...
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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...
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ژورنال
عنوان ژورنال: HELIX
سال: 2019
ISSN: 2277-3495,2319-5592
DOI: 10.29042/2019-4732-4737