A method for examining large masses of data and extracting useful information from it was described. The information theoretic method proposed, was used for context recognition and classification of strings of characters. The boundary demarcation problem, was central to defining and optimizing suitable observables that could reveal sudden changes in complex data sequences. The method was found to be useful for extracting information from DNA and protein sequences, geological time series, stock market data, and medical monitoring.
Zipping out relevant information / Benedetto, Dario; Caglioti, Emanuele; Loreto, Vittorio. - In: COMPUTING IN SCIENCE & ENGINEERING. - ISSN 1521-9615. - 5:1(2003), pp. 80-85. [10.1109/mcise.2003.1166556]
Zipping out relevant information
BENEDETTO, Dario;CAGLIOTI, Emanuele;LORETO, Vittorio
2003
Abstract
A method for examining large masses of data and extracting useful information from it was described. The information theoretic method proposed, was used for context recognition and classification of strings of characters. The boundary demarcation problem, was central to defining and optimizing suitable observables that could reveal sudden changes in complex data sequences. The method was found to be useful for extracting information from DNA and protein sequences, geological time series, stock market data, and medical monitoring.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
