Proceedings of the 2016 International Conference on Communications, Information Management and Network Security

The Application of Big Data Analysis Techniques and Tools in Intelligence Research

Authors
Mengru Li, Hong Fu, Ruodan Sun, Che Che
Corresponding Author
Mengru Li
Available Online September 2016.
DOI
10.2991/cimns-16.2016.76How to use a DOI?
Keywords
big data; intelligence research; big data techniques; big data tools
Abstract

The advent of big data era has brought opportunities and challenges to intelligence research. This paper analyzes the emerging techniques of intelligence research under the big data environment, like data mining, visualization, semantic processing, etc. Meanwhile it also summarizes some new tools, such as Weka, Sitespace, etc. In order to promote the development of intelligence theory research and practice, it is vital and useful to explore the updating of intelligence research techniques and tools, and to discover the new model of intelligence analysis.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2016 International Conference on Communications, Information Management and Network Security
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-247-3
ISSN
2352-538X
DOI
10.2991/cimns-16.2016.76How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Mengru Li
AU  - Hong Fu
AU  - Ruodan Sun
AU  - Che Che
PY  - 2016/09
DA  - 2016/09
TI  - The Application of Big Data Analysis Techniques and Tools in Intelligence Research
BT  - Proceedings of the 2016 International Conference on Communications, Information Management and Network Security
PB  - Atlantis Press
SP  - 307
EP  - 310
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-16.2016.76
DO  - 10.2991/cimns-16.2016.76
ID  - Li2016/09
ER  -