Data compression issues with pattern matching in historical data

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.