Mining Web Log using Fuzzy C Mean for Navigational Pattern Prediction
نویسندگان
چکیده
منابع مشابه
An Improved Web Log Mining and Online Navigational Pattern Prediction
The aim of this study is to improve web log mining and online navigation pattern prediction. Web mining is an active and wide area which incorporates several usages for the web site design, providing personalization server and other business making decisions etc. Efficient web log mining results and online navigational pattern prediction is a tough process due to vast development in web. It inc...
متن کاملEffective web log mining and online navigational pattern prediction
The web has become the world's largest repository of knowledge. Web usage mining is the process of discovering knowledge from the interactions generated by the user in the form of access logs, cookies, and user sessions data. Web Mining consists of three different categories, namely Web Content Mining, Web Structure Mining, and Web Usage Mining (is the process of discovering knowledge from the ...
متن کاملFrequent Pattern Mining in Web Log Data
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...
متن کاملSequential Pattern Mining from Web Log Data
Sequential Pattern Mining involves applying data mining methods to large web data repositories to extract usage patterns. The growing popularity of the World Wide Web, many websites typically experience thousands of visitors every day. Analysis of who browsed what, can give important insight into the buying pattern of existing customers. Correct and timely decisions made based on this knowledge...
متن کاملWeb-log Mining for Quantitative Temporal-Event Prediction
The web log data embed much of web users’ browsing behavior. From the web logs, one can discover patterns that predict the users’ future requests based on their current behavior. These web data are very complex due to their large size and sequential nature. In the past, researchers have proposed different methods to predict what pages will be visited next based on their present visit patterns. ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/18256-9373