DocumentCode
3182802
Title
Notice of Retraction
Analysis of coal mine safety monitoring data based on Column-oriented Database
Author
Wentao Zhao ; Suqing Li
Author_Institution
Henan Polytech. Univ., Jiaozuo, China
fYear
2011
fDate
8-10 Aug. 2011
Firstpage
1920
Lastpage
1922
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.
It is an important means improve coal mine safety using the vast amount of coal mine safety monitoring data for safe prediction. However, The traditional line-oriented database appear restrictive when facing the vast amount of data and complex queries. The column store database become the best choice for building data warehouse and data analysis with its unique features. Through combining main factors influencing the safety of coal mine, this article analyzes storage structure in the database and explores the possibility of line database simulation column database. At last, it make gas discharge analysis through auto regressive model.
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.
It is an important means improve coal mine safety using the vast amount of coal mine safety monitoring data for safe prediction. However, The traditional line-oriented database appear restrictive when facing the vast amount of data and complex queries. The column store database become the best choice for building data warehouse and data analysis with its unique features. Through combining main factors influencing the safety of coal mine, this article analyzes storage structure in the database and explores the possibility of line database simulation column database. At last, it make gas discharge analysis through auto regressive model.
Keywords
autoregressive processes; coal; condition monitoring; data analysis; data mining; data warehouses; mining industry; occupational safety; query processing; autoregressive model; coal mine safety monitoring data analysis; column-oriented database; complex queries; data mining; data warehouse; gas discharge analysis; line database simulation; storage structure; Coal mining; Data mining; Databases; Mathematical model; Monitoring; Safety; Time series analysis; Column-oriented Database; Data Mining; Data Warehoues; Gas emission;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location
Dengleng
Print_ISBN
978-1-4577-0535-9
Type
conf
DOI
10.1109/AIMSEC.2011.6011077
Filename
6011077
Link To Document