The Research on Historical Data Similarity of Coal Mine Safety Supervision

Author

Gang, Hua ; Linyan, Fu ; Kai, Ren ; Ran, Cui

Author_Institution

China Univ. of Min. & Technol., Xuzhou

fYear

2007

fDate

8-11 July 2007

Firstpage

143

Lastpage

147

Abstract

In order to do information mining for coal mine safety supervision historical database, this paper puts forward a similarity analysis model of mine safety supervision historical data, and introduces the data dimensionality reduction approaches and similarity search algorithm. Experiments showed this method guarantees a high degree of accuracy and reduces computational complexity, which provides a new method of mine safety supervision historical data mining.

Keywords

computational complexity; data mining; database management systems; mining; production engineering computing; safety; search problems; coal mine safety supervision historial database; computational complexity; data dimensionality reduction approaches; data mining; historical data similarity; information mining; similarity search algorithm; Cities and towns; Data analysis; Data mining; Data visualization; Databases; Electrical safety; Interference; Interpolation; Product safety; Radio access networks; Dynamic Time Warping (DTW); dimensionality reduction; feature points; similarity search; time series;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Acquisition, 2007. ICIA '07. International Conference on

Conference_Location

Seogwipo-si

Print_ISBN

1-4244-1220-X

Electronic_ISBN

1-4244-1220-X

Type

conf

DOI

10.1109/ICIA.2007.4295714

Filename

4295714