Study on online community user motif using web usage mining. (April 2016)
- Record Type:
- Journal Article
- Title:
- Study on online community user motif using web usage mining. (April 2016)
- Main Title:
- Study on online community user motif using web usage mining
- Authors:
- Alphy, Meera
Sharma, Ajay - Abstract:
- Abstract: 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 6 th august 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.
- Is Part Of:
- Journal of physics. Volume 710(2016)
- Journal:
- Journal of physics
- Issue:
- Volume 710(2016)
- Issue Display:
- Volume 710, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 710
- Issue:
- 1
- Issue Sort Value:
- 2016-0710-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2016-04
- Subjects:
- Log file -- Pattern analysis -- Pattern discovery -- Pre-processing
Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/710/1/012015 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16384.xml