METHOD AND AN APPARATUS FOR CLASSIFYING MULTIVARIATE STREAM DATA, PARTICULARLY FOR USING THE FEATURES OF STREAM DATA

摘要

PURPOSE: A method and an apparatus for classifying multivariate stream data are provided to accurately classify multivariable stream data by extracting and using the important features from stream data inputted from sensors.;CONSTITUTION: A data converter(310) uses a symbol to convert inputted multivariable stream data into one character string. A partial character string generating unit(320) applies an n-gram scheme to the converted character string to create the set of partial character strings having an n number of syllables. A motif extractor(330) extracts a partial character string from the set of the partial character string, wherein the partial character string can be the motif for each class. A data classifier(360) classifies the multi-variable stream data into one among class sets based on the partial character strings.;COPYRIGHT KIPO 2011