Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

Research on the optimization of data mining error system based on dynamic information

Authors
Qingru Sui
Corresponding Author
Qingru Sui
Available Online May 2016.
DOI
10.2991/wartia-16.2016.345How to use a DOI?
Keywords
Dynamic information,Data mining,System optimization
Abstract

At present most of the data mining technology can only on the basis of the past to produce large amounts of data analysis processing, it is difficult to meet the fast pace of society people expect of knowledge novelty. Therefore, this article puts forward the dynamic information of the data mining technology, and on this basis on the analysis of the dynamic information collection, dynamic information, the concrete analysis of the data window. In order to further optimize the error system based on dynamic information of data mining, with sliding window as the dynamic information collection and analysis platform, and on the basis of data mining, and add the evaluation based on data mining test link in management, in order to help to the development of error data mining system.

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 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
10.2991/wartia-16.2016.345
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.345How 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  - Qingru Sui
PY  - 2016/05
DA  - 2016/05
TI  - Research on the optimization of data mining error system based on dynamic information
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1741
EP  - 1745
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.345
DO  - 10.2991/wartia-16.2016.345
ID  - Sui2016/05
ER  -