Title :
Application of Fuzzy Data Mining in Staff Performance Assessment
Author :
Hou, Xiang-Dan ; Dong, Yong-Feng ; Liu, Hong-Pu ; Gu, Jun-hua
Author_Institution :
Hebei Univ. of Technol., Tianjin
Abstract :
Due to the increasing study of manpower resource, mining useful information and helpful knowledge from databases are evolving into an important research area. In this paper we use fuzzy data mining algorithm to analyze the performance assessment of staffs in enterprise, grasp the structure of enterprise staffs, and then predict the performance of new staffs. The ability of the algorithm is tested experimentally and gives encouraging results.
Keywords :
data mining; fuzzy set theory; organisational aspects; personnel; enterprise staffs; fuzzy data mining; manpower resource; staff performance assessment; useful information mining; Algorithm design and analysis; Cleaning; Cybernetics; Data analysis; Data mining; Electronic mail; Machine learning; Performance analysis; Testing; Transaction databases; Clustering analysis; Fuzzy data mining; Performance Assessment of staffs;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370258