The Case Study for Human Resource Management Research Based on Web Mining and Semantic Analysis

Hui Zong; Quan Yin Zhu; Ming Sun; Ya Hong Zhang

doi:10.4028/www.scientific.net/AMM.488-489.1336

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The Management System for Enter-Sale-Keep
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A Social Recommender System Based on Exponential Random Graph Model and Sentiment Similarity
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The Case Study for Human Resource Management Research Based on Web Mining and Semantic Analysis
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The Establishment of Electricity Price Model Based on User Satisfaction and Power Supply Enterprise Return
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Aviation Human Factors Accident Causation Model Based on Structure Entropy
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 488-489The Case Study for Human Resource Management...

The Case Study for Human Resource Management Research Based on Web Mining and Semantic Analysis

Abstract:

Extracting information from human resource information by using data mining technology in order that preserve and manage. Through java programming technique, the function of Arachnid that traversing the web page and extract web page content can be realized. Segmentation of content based on the technology of Chinese word segmentation machine of Chinese academy of sciences. Extract human resource information based on key word and save it in MySQL database, using the language of python to program the system of human resource information. The system can provide evidence for government decision-making.

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Periodical:

Applied Mechanics and Materials (Volumes 488-489)

Pages:

1336-1339

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.488-489.1336

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Online since:

January 2014

Authors:

Hui Zong*, Quan Yin Zhu, Ming Sun, Ya Hong Zhang

Keywords:

Arachnid, Semantic Analysis, Web Mining, Word Segmentation

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* - Corresponding Author

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