SOME METHODS FOR AUTOMATIC ANALYSIS OF SEQUENTIAL DATA

Abstract

This paper deals with research of patterns and structures in a sequence of data with a finite number of states. After preliminary estimates, two optimization criteria are presented, which based on a schema of referential probabilities enable the construction of a vocabulary of patterns, or basic morphological units. The determination of structures, which may link these patterns is subsequently discussed, first from a morphological viewpoint, then from a generative viewpoint. Morphological structures may be constructed from classical schema of Markov chains or from graph theory; the identification of generative structures is based on the definition of a set of normed transformations on the vocabulary, which leads to various numerical estimates.

Citation

NICOLAS, P. (1974), "SOME METHODS FOR AUTOMATIC ANALYSIS OF SEQUENTIAL DATA", Kybernetes, Vol. 3 No. 3, pp. 139-145. https://doi.org/10.1108/eb005363