Proceedings of the International Conference on Education, Management, Commerce and Society

Design Method of Data Acquisition in Intelligent Sensor based on Web Data Mining Clustering Technology

Authors
Tingzhong Wang, Huijuan Sun
Corresponding Author
Tingzhong Wang
Available Online January 2015.
DOI
10.2991/emcs-15.2015.125How to use a DOI?
Keywords
Intelligent sensor; Data acquisition; Web data mining; Association rule; K-Mean clustering
Abstract

Data mining mainly has two functions, namely prediction / validation function and function description. The main goal of Web mining technology is from the Web access record extraction interest pattern. The intelligent sensor has been widely applied in various fields of spaceflight, aviation, national defense, science and technology. The paper presents design method of data acquisition in intelligent sensor based on web data mining clustering technology. The experimental results show that the improved clustering method has good data collection effect.

Copyright
© 2015, 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 International Conference on Education, Management, Commerce and Society
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2015
ISBN
10.2991/emcs-15.2015.125
ISSN
2352-5398
DOI
10.2991/emcs-15.2015.125How to use a DOI?
Copyright
© 2015, 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  - Tingzhong Wang
AU  - Huijuan Sun
PY  - 2015/01
DA  - 2015/01
TI  - Design Method of Data Acquisition in Intelligent Sensor based on Web Data Mining Clustering Technology
BT  - Proceedings of the International Conference on Education, Management, Commerce and Society
PB  - Atlantis Press
SP  - 617
EP  - 621
SN  - 2352-5398
UR  - https://doi.org/10.2991/emcs-15.2015.125
DO  - 10.2991/emcs-15.2015.125
ID  - Wang2015/01
ER  -