A Novel Method of Applying Big Data for Analysis Model of Library User Behavior

DOI

10.2991/icoi-19.2019.130How to use a DOI?

Keywords

Data mining, Supervised learning, User portrait

Abstract

A large number of library user behaviour data generated in real time in the era of big data artificial intelligence requires more efficient and scientific analysis technology to help libraries improve the level and quality of personalized services, while the increasingly popular campus Internet of Things system needs to be more Active network security precautions, proactively detect unreliable abnormal behavior of the network and feedback users to improve security awareness. Explores a big data analysis model using traditional data mining and classification learning, which combines user personality analysis and abnormal behavior detection

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kaijun Yu
AU  - Song Luo
AU  - Xuejun Zhou
AU  - Rui Wang
AU  - Longjie Sun
PY  - 2019/10
DA  - 2019/10
TI  - A Novel Method of Applying Big Data for Analysis Model of Library User Behavior
BT  - Proceedings of the 2019 International Conference on Organizational Innovation (ICOI 2019)
PB  - Atlantis Press
SP  - 742
EP  - 745
SN  - 2352-5428
UR  - https://doi.org/10.2991/icoi-19.2019.130
DO  - 10.2991/icoi-19.2019.130
ID  - Yu2019/10
ER  -