Data mining application for cyber space users tendency in blog writing: a case study
This provides a tool for strategic planning in regions where blogs serve as alternative media, though it is incremental as it applies existing methods to a specific case study.
The paper tackled the problem of predicting cyber space users' blogging tendencies by applying data mining techniques to information from 100 users in Kohkiloye and Boyer Ahmad Province, achieving over 82% precision in anticipation.
Blogs are the recent emerging media which relies on information technology and technological advance. Since the mass media in some less-developed and developing countries are in government service and their policies are developed based on governmental interests, so blogs are provided for ideas and exchanging opinions. In this paper, we highlighted performed simulations from obtained information from 100 users and bloggers in Kohkiloye and Boyer Ahmad Province and using Weka 3.6 tool and c4.5 algorithm by applying decision tree with more than %82 precision for getting future tendency anticipation of users to blogging and using in strategically areas.