Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Research on Computer Software Engineering Project Automation Management based on Data Mining and Fuzzy Clustering

Authors
Li Zhang
Corresponding Author
Li Zhang
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.118How to use a DOI?
Keywords
Data Mining and Fuzzy Clustering, Computer Software, Automation Management.
Abstract
The smooth implementation of automation management of computer software engineering projects has played an important role in promoting the faster development of computer software development and further promoting the development of computer software engineering. In the process of realizing automation management of project, data mining technology and method are introduced, and a computer aided quality function configuration model based on data mining is proposed. The data mining tool was developed, and the model for product user demand and process quality selection decomposition was established. At the same time, the data mining model of fuzzy clustering and grey theory algorithm was established, and related application examples were analyzed. At present, all methods of validity discrimination do not have absolute advantages, and all need to be adapted and selected for specific data sets.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.118How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Li Zhang
PY  - 2019/04
DA  - 2019/04
TI  - Research on Computer Software Engineering Project Automation Management based on Data Mining and Fuzzy Clustering
PB  - Atlantis Press
SP  - 744
EP  - 748
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.118
DO  - https://doi.org/10.2991/icmeit-19.2019.118
ID  - Zhang2019/04
ER  -