The Application of Decision Tree Algorithm in the Employment Management System

Liang Li; Ying Zheng; Xiao Hua Sun; Fu Shun Wang

doi:10.4028/www.scientific.net/AMM.543-547.1639

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Simulation Experiment of Certain Equipment of Mortal-Howitzer
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Information Entropy-Based Texture Adaptation for 3D Vector Field Visualization
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547The Application of Decision Tree Algorithm in the...

The Application of Decision Tree Algorithm in the Employment Management System

Abstract:

According to students' employment problem, employment data mining model of university graduates is presented. The decision tree is very effective means for classification, which is proposed according to the characteristics of employment data and C4.5 algorithm. The C4.5 algorithm is improved from ID3 algorithm that is the core algorithm in the decision tree. The C4.5 algorithm is suitable for its simple construction, high processing speed and easy implementation. The model includes preprocess of the data of employment selection of decision attributes, implementation of mining algorithm, and obtainment of rules from the decision tree. The rules point out which decision attributes decide the classification of employers. Case study shows that the decision tree algorithm applied to employment information data mining, can classify data of employment correctly with simple structure and faster speed, and find some valuable results for analysis and decision. so the proposed algorithm in this paper is effective.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

1639-1642

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.1639

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Online since:

March 2014

Authors:

Liang Li*, Ying Zheng, Xiao Hua Sun, Fu Shun Wang

Keywords:

C4.5 Algorithm, Data Mining (DM), Decision Tree, Employment Information

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* - Corresponding Author

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