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	A machine learning application for human resource data mining problem
	Zhen Xu ; Binheng Song
	2010-05-07 ; 2010-05-07
会议名称	Applications of Evolutionary Computing.EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC. Proceedings (Lecture Notes in Computer Science Vol.3907) ; Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC. Proceedings ; Budapest, Hungary ; INSPEC
关键词	Practical Theoretical or Mathematical/ data mining fuzzy logic human resource management learning (artificial intelligence) matrix algebra/ machine learning human resource data mining knowledge extraction human resource allocation multiobjectives allocation problem fuzzy logic knowledge warehouse tasks allocation Hungarian algorithm capability matrix task-arrange/ C7100 Business and administration C6170K Knowledge engineering techniques C4210 Formal logic C1110 Algebra
中文摘要	Apply machine learning methods to data mining domain can be more helpful to extract useful knowledge for problems with changing conditions. Human resource allocation is a kind of problem in data mining domain. It presents machine learning techniques to dissolve it. First, we construct a new model which optimizes the multi-objectives allocation problem by using fuzzy logic strategy. One of the most important problems in the model is how to get the precise individual capability matrixes. Machine learning method by being told is well used to settle the problem in this paper. In the model, appraisal values about employees are saved in knowledge warehouse. Before tasks allocation, machine learning approach provides the capability matrixes based on the existing data sets. Then task-arrange or Hungarian algorithm provides the final solution with our proposed matrixes. After present tasks are finished, machine learning method by being told can update the matrixes according to the suggestions on employees' performance provided by the specialists. Useful knowledge can be well mined in cycles by learning approach. As a numerical example demonstrated, it is helpful to make a realistic decision on human resource allocation under a dynamic environment for organizations.
会议录出版者	Springer-Verlag ; Berlin, Germany
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/16956]
专题	清华大学
推荐引用方式 GB/T 7714	Zhen Xu,Binheng Song. A machine learning application for human resource data mining problem[C]. 见:Applications of Evolutionary Computing.EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC. Proceedings (Lecture Notes in Computer Science Vol.3907), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC. Proceedings, Budapest, Hungary, INSPEC.

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