NDLI: Study of College Human Resources Data Mining Based on the SOM Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Yan Huang
Copyright Year	2009
Abstract	The decisive factor of the comprehensive strength of a college is the integrated intrinsic qualifications of its personnel. Its human resources management needs a technology to discover the valuable knowledge, identify the human developing stratagem and provide the support for decision. Base on the human resources data of two colleges in Tianjin, after data pretreatment, such as data integration, data clean, data transformation and data reduction, this paper finished clustering analysis applying the SOM algorithm, realized information visualization. In the process the algorithm is carefully chosen, the fitting number of input and output layer node is identified. After training and verification, the result is approved by the experts of management. It can represent correspondingly the 4 kinds of personnel—service and other, administration and teaching assistant, teaching and research. It can differentiate the personnel both in teaching and research, which is the distinct character of human resource in colleges. The data mining result presents the correct character and existing problem in college human resources management. The result will be the guidance rule on the employment, training and upgrading of the personnel in the college, providing some support to the decision of human resources management strategy of college as well.
Starting Page	324
Ending Page	327
File Size	366669
Page Count	4
File Format	PDF
ISBN	9780769536996
DOI	10.1109/APCIP.2009.89
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data Pretreatment Humans SOM Algorithm Educational institutions Data Mining Data mining Personnel Human Resources Clustering Analysis Management training Information analysis Education Clustering algorithms Resource management Qualifications
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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