Title :
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
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;
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
DOI :
10.1109/ICIA.2007.4295714
