Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control

Design and Implementation of Office Automation System based on Web Service Framework and Data Mining Techniques

Authors
Huang He
Corresponding Author
Huang He
Available Online April 2016.
DOI
10.2991/icmemtc-16.2016.99How to use a DOI?
Keywords
Office Automation; Web Service; Data Mining; Systematic Implementation.
Abstract

Smart mobile devices, the application of the social network media and the information behavior main body of increasingly frequent activity, has produced in these types of equipment, media and behavior diversity, complex structure, a large number of unstructured data and semi-structured data quantity has increased dramatically, human data into a driving force for social development is one of the era of big data. Under this background, we conduct research on office automation system based on web service framework and data mining techniques. We design and implement the system with the assistance of machine learning algorithms as well as the web service framework and achieve the satisfactory result which serves as the foundation for our future research.

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 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/icmemtc-16.2016.99
ISSN
2352-5401
DOI
10.2991/icmemtc-16.2016.99How 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  - Huang He
PY  - 2016/04
DA  - 2016/04
TI  - Design and Implementation of Office Automation System based on Web Service Framework and Data Mining Techniques
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 511
EP  - 515
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.99
DO  - 10.2991/icmemtc-16.2016.99
ID  - He2016/04
ER  -