2019년 컴퓨터종합학술대회
Current Result Document :
| 한글제목(Korean Title) |
An Information Fusion based Framework for Social Big Data |
| 영문제목(English Title) |
An Information Fusion based Framework for Social Big Data |
| 저자(Author) |
Ibrar Yaqoob
Umer Majeed
Choong Seon Hong
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| 원문수록처(Citation) |
VOL 46 NO. 01 PP. 1315 ~ 1317 (2019. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Social big data is a budding research area that is drawing the interest of IT communities. Social big data is derived from social networking sites such as Facebook, Twitter, and Instagram. The advent of modern communication technologies has enabled the extraction of information by synergistically integrating data from various sources of social media. This study is organized from the point of view of applying information fusion (IF) techniques to social big data. First, we explore the benefits of applying IF to social big data and highlight its current trends. Furthermore, we propose an IF-based framework, which is comprised three layers. The qualitative analysis results reveal that utilization of IF reduces uncertainty, which leads to mitigating risks in a proactive manner, and helps in decision-making. |
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