Frequent Pattern Mining of Web Log Files Working Principles
نویسندگان
چکیده
منابع مشابه
Frequent Pattern Mining of Web Log Files Working Principles
Frequent pattern mining plays a major role in mining of web log files. Web usage mining is the one of the web mining process that involves application of mining techniques to web server logs to extract the behavior of users. A web usage mining consists of three important phases: data preprocessing, patterns discovery and pattern analysis. In data preprocessing phase the unwanted data are remove...
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Frequent pattern mining is a heavily researched area in the field of data mining with wide range of applications. One of them is to use frequent pattern discovery methods in Web log data. Discovering hidden information from Web log data is called Web usage mining. The aim of discovering frequent patterns in Web log data is to obtain information about the navigational behavior of the users. This...
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Mining frequent patterns from web log data can help to optimise the structure of a web site and improve the performance of web servers. Web users can also benefit from these frequent patterns. Many efforts have been done to mine frequent patterns efficiently. Candidate-generation-and-test approach (Apriori and its variants) and pattern-growth approach (FP-growth and its variants) are the two re...
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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 understoo...
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Web Usage Mining discovers interesting patterns in accesses to various Web pages within the Web space associated with a particular server. The Web Usage Mining architecture divides the process into two main partsthe first part includes preprocessing, transaction identification, and data integration components. The second part includes the largely domain independent application of generic data m...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2017
ISSN: 0975-8887
DOI: 10.5120/ijca2017912642