METHOD AND APPARATUS FOR CLASSIFYING MULTIVARIATE 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.