INFORMATION CHANGE THE WORLD

International Journal of Intelligent Systems and Applications(IJISA)

ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)

Published By: MECS Press

IJISA Vol.4, No.10, Aug. 2017

Mining Social Data to Extract Intellectual Knowledge

Full Text (PDF, 796KB), PP.15-24


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Author(s)

Muhammad Mahbubur Rahman

Index Terms

Social Computing;Data Mining;Face-book;Intellectual Knowledge

Abstract

Social data mining is an interesting phe-nomenon which colligates different sources of social data to extract information. This information can be used in relationship prediction, decision making, pattern recognition, social mapping, responsibility distribution and many other applications. This paper presents a systematical data mining architecture to mine intellectual knowledge from social data. In this research, we use social networking site facebook as primary data source. We collect different attributes such as about me, comments, wall post and age from facebook as raw data and use advanced data mining approaches to excavate intellectual knowledge. We also analyze our mined knowledge with comparison for possible usages like as human behavior prediction, pattern recognition, job responsibility distribution, decision making and product promoting.

Cite This Paper

Muhammad Mahbubur Rahman,"Mining Social Data to Extract Intellectual Knowledge", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.10, pp.15-24, 2012. DOI: 10.5815/ijisa.2012.10.02

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