Knowledge Extraction Using Web Usage Mining
نویسندگان
چکیده
منابع مشابه
Web Usage Mining: User Navigational Patterns Extraction from Web Logs
Web Usage Mining is the process of applying data mining techniques to the discovery of usage patterns from data extracted from Web Log files. In this paper, we define the notion of a “user session” as being a temporally compact sequence of web accesses by a user. We also define a new distance measure between two web sessions that captures the organization of a web site. Web usage mining consist...
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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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One of the most important issues in web mining is how to find out similarities between web pages. In this paper we propose a method based on distributed learning automata which take advantage of usage data to find out web pages similarities. The idea of the proposed method is that if different users request a couple of pages consistently together, then these pages are likely to correspond to th...
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ژورنال
عنوان ژورنال: ICST Transactions on Scalable Information Systems
سال: 2018
ISSN: 2032-9407
DOI: 10.4108/eai.13-4-2018.154551