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Author: Hailong CHEN

Affiliation: Xinjiang Finance and Economics University, China

Keyword(s): Data Mining, Social Safety, Engineering Education.

Abstract: Social safety is the most important social problem in the world. Since the spatial changes, the social safety system has a lot of problems and is needed to change a lot. In the last days, the change of social safety system has happened all over the world. The social safety systems can be getting almost all countries in the world. There is an increasing need from countries, society, higher education universities, and people groups to change current Technology, Science, and Engineering education. Due to engineering education as a need and as a rule, these efforts need many bottlenecks such as the under delegation of men and minority groups in the engineering place, a low knowing of the engineering education among rookies, poor performance of learners in related aspects of engineer and science, and the gap between the need for an engineering place and graduating learners. This paper is trying to show the discussion on how teachers and learners of engineering education can build methods and tools to attract, inform, and use engineering words and queries in university learners. The proposed work of engineering education consists of educational interfaces and other techniques for engineering education and learning. (More)

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Paper citation in several formats:
CHEN, H. (2015). The Data Mining on Social Safety Data for Engineering Education. In Proceedings of the Information Science and Management Engineering III - ISME; ISBN 978-989-758-163-2, SciTePress, pages 150-154. DOI: 10.5220/0006020901500154

@conference{isme15,
author={Hailong CHEN.},
title={The Data Mining on Social Safety Data for Engineering Education},
booktitle={Proceedings of the Information Science and Management Engineering III - ISME},
year={2015},
pages={150-154},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006020901500154},
isbn={978-989-758-163-2},
}

TY - CONF

JO - Proceedings of the Information Science and Management Engineering III - ISME
TI - The Data Mining on Social Safety Data for Engineering Education
SN - 978-989-758-163-2
AU - CHEN, H.
PY - 2015
SP - 150
EP - 154
DO - 10.5220/0006020901500154
PB - SciTePress