Research on Computer Software Engineering Project Automation Management based on Data Mining and Fuzzy Clustering
Available Online April 2019.
- https://doi.org/10.2991/icmeit-19.2019.118How to use a DOI?
- Data Mining and Fuzzy Clustering, Computer Software, Automation Management.
- 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.
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 -