Title :
Data compression issues with pattern matching in historical data
Author :
Singhal, Ashish ; Seborg, Dale E.
Author_Institution :
Dept. of Chem. Eng., California Univ., Santa Barbara, CA, USA
Abstract :
It is common practice in the process industries to compress plant data before it is archived. However, compression may alter the data in a manner that makes it difficult to extract useful information from it. In this paper we evaluate the effectiveness of a new pattern matching technique for applications involving compressed historical data. We also compare several data compression methods with regard to efficiency, data reconstruction, and suitability for pattern matching applications.
Keywords :
data compression; information theory; pattern matching; compress plant data; data compression; data reconstruction efficiency; historical data; pattern matching; process industry; useful information extraction; Chemical engineering; Chemical industry; Computer networks; Costs; Data compression; Data mining; Pattern matching; Piecewise linear techniques; Steady-state; Wavelet coefficients;
Conference_Titel :
American Control Conference, 2003. Proceedings of the 2003
Print_ISBN :
0-7803-7896-2
DOI :
10.1109/ACC.2003.1240409
