Title :
Notice of Retraction
Unascertained Clustering Based Coal Mine Safety Investment Dynamic Comprehensive Assessment
Author :
Li Bangsan ; Cai Weihua
Author_Institution :
China Univ. of Min. & Technol., Beijing, China
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.
Presently, China´s coal mine safety situation is grim, in which a very important reason is lack of safety investment dynamic. Safety investment dynamic analysis and assessment can provide decision basis for effective control and guide. The paper analyzed impact indicators of coal mine safety investment dynamic; established unascertained clustering based coal mine safety investment dynamic assessment model; collected relevant data of 22 coal mines safety investment dynamic. Adopting the model to analyze these data´s clustering, the results show 9 in 22 enterprises lacked investment dynamic, which show that China´s coal mine enterprises lacks safety investment dynamic, and governments and enterprises need strengthen the safety investment management.
Keywords :
coal; data analysis; investment; mining; occupational safety; pattern clustering; China coal mine safety; data clustering analysis; investment dynamic comprehensive assessment; safety investment dynamic analysis; safety investment management; unascertained clustering; unascertained clustering based coal mine safety; Computer aided instruction; Conference management; Data analysis; Data engineering; Data mining; Domestic safety; Engineering management; Government; Investments; Knowledge management; comprehensive assessment; index system; safety investment dynamic; unascertained clustering;
Conference_Titel :
Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on
Print_ISBN :
978-1-4244-5397-9
DOI :
10.1109/WKDD.2010.72
