Abstract
In recent years, with rapid development of China’s space program and aerospace technology, massive data of project management have been collected. However, provided massive data, there is plenty room to improve our project management standards, and the inheritable and applicable knowledge on data. This paper reports on methodology based on data mining techniques to tackle such issues, in order to promote project management standards and technical reformation.
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References
He, Q., Hu, J.: A Surver of Data Mining. Journal of Southwest University for Nationalities 14, 36–39 (2003)
Han, Q.H., Hu, X.: Application of Decision Tree and SVM Methods in Fault Diagnosis of Liquid Rocket Engine. Computer Science 33, 84–86 (2006)
Wang, Y.: The Fault Diagnosis of Locomotive Converter Based on Data Mining. Southwest Jiaotong University 21, 120–130 (2002)
Tang, X., Cai, Q.: Application of Data Mining in Telecommunication. Computer Engineering 30, 36–37 (2004)
Yang, J., Zhang, N.: Research and Application of Decision Tree Algorithm. Computer Technology and Developmen 20, 114–116 (2010)
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Tu, Xy., Fu, T. (2010). Application of Decision-Tree Based on Prediction Model for Project Management. In: Cao, L., Zhong, J., Feng, Y. (eds) Advanced Data Mining and Applications. ADMA 2010. Lecture Notes in Computer Science(), vol 6441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17313-4_51
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DOI: https://doi.org/10.1007/978-3-642-17313-4_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17312-7
Online ISBN: 978-3-642-17313-4
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