Study on online community user motif using web usage mining

4th International Conference on Science & Engineering in Mathematics, Chemistry and Physics 2016

数学;化学;物理学

Alphy, Meera^1 ; Sharma, Ajay^1

Department of Computer Science and Engineering, SRM University, Haryana, India^1

关键词: Log file;    On-line communities;    Pattern analysis;    Pattern discovery;    Personalisation;    Pre-processing;    Time consumption;    Web usage mining;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/710/1/012015/pdf
DOI  :  10.1088/1742-6596/710/1/012015

来源: IOP

【 摘 要 】

The Web usage mining is the application of data mining, which is used to extract useful information from the online community. The World Wide Web contains at least 4.73 billion pages according to Indexed Web and it contains at least 228.52 million pages according Dutch Indexed web on 6thaugust 2015, Thursday. It's difficult to get needed data from these billions of web pages in World Wide Web. Here is the importance of web usage mining. Personalizing the search engine helps the web user to identify the most used data in an easy way. It reduces the time consumption; automatic site search and automatic restore the useful sites. This study represents the old techniques to latest techniques used in pattern discovery and analysis in web usage mining from 1996 to 2015. Analyzing user motif helps in the improvement of business, e-commerce, personalisation and improvement of websites.