IT Performance Key Factors Extraction Based on PCA Selective Ensemble

摘要：

　　The IT performance evaluation is a complex analysis system.Some key factors that can reflect the essential characteristics and be easy to acquire,should be extracted to help us to clarify evaluation,analysis and diagnoses.In this paper for the uncertainty of IT performance data,an algorithm of IT performance key factors extraction based on selective ensemble of principal component analysis (PCA) is proposed.Unlike the traditional PCA algorithm,PCA selective ensemble increase the difference degree between the main component and the others.Moreover it expands the selective ensemble in the application of unsupervised algorithm.The validity of the algorithm is verified through the analysis of the actual data.

关键词： IT performance Key factor Selective ensemble PCA

作者: Mingyan Hu Wei Guo Nan Zhao

作者单位: School of Mechanical, Tianjin University, Tianjin, China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 4003-4007

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）