Data mining application for cyber space users tendency in blog writing: a case study
Farhad Soleimanian Gharehchopogh, Seyyed Reza Khaze

TL;DR
This study analyzes the blogging tendencies of users in a specific region using data mining techniques, achieving over 82% accuracy in predicting future blogging behaviors to inform strategic decisions.
Contribution
It introduces a data mining approach using decision trees to predict user blogging tendencies with high precision in a specific regional context.
Findings
Achieved over 82% prediction accuracy.
Identified key factors influencing blogging tendencies.
Demonstrated effectiveness of decision trees in user behavior prediction.
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWeb Data Mining and Analysis · Digital Marketing and Social Media · Cloud Computing and Resource Management
