DocumentCode
2754902
Title
Notice of Retraction
Application of Classification Algorithm Based on Association Rules in the Labor Market
Author
Wang Guangming ; Wang Xiaoliang
Author_Institution
Coll. of Comput. Sci. & Inf. Eng., Zhejiang Gongshang Univ., HangZhou, China
fYear
2009
fDate
5-6 Dec. 2009
Firstpage
255
Lastpage
258
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The classification algorithm based on association rules (CBA) has a good performance in many data sets. At present, there are not many people using classification algorithm to analyze the data of labor market. In this paper, we use CBA algorithm to classify the dataset of the labor market. Then we, by using classification results, make a deeper research to submit a more rational calculation of the registered urban unemployment rate and put forward decision support for the labor market. The experimental results show that CBA algorithm has a high accuracy for the classification of labor market dataset. The research what we do brings a new idea for the macroeconomic analysis and decision support of labor market.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The classification algorithm based on association rules (CBA) has a good performance in many data sets. At present, there are not many people using classification algorithm to analyze the data of labor market. In this paper, we use CBA algorithm to classify the dataset of the labor market. Then we, by using classification results, make a deeper research to submit a more rational calculation of the registered urban unemployment rate and put forward decision support for the labor market. The experimental results show that CBA algorithm has a high accuracy for the classification of labor market dataset. The research what we do brings a new idea for the macroeconomic analysis and decision support of labor market.
Keywords
classification; data mining; CBA algorithm; association rules; classification algorithm; decision support; labor market dataset; macroeconomic analysis; urban unemployment rate; Association rules; Classification algorithms; Data analysis; Data mining; Educational institutions; Government; Humans; Itemsets; Management information systems; Unemployment; association rules; classification; classification based on association rules; decision support; labor market; registered urban unemployment rate;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Learning, E-Business, Enterprise Information Systems, and E-Government, 2009. EEEE '09. International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-0-7695-3907-2
Type
conf
DOI
10.1109/EEEE.2009.90
Filename
5359360
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