Title :
Classifying data patterns of a time series
Author :
Georgiou, George K. ; Sy, Bon K.
Author_Institution :
Dept. of Comput. Sci., Queens Coll., Flushing, NY, USA
Abstract :
Deals with the problem of partitioning time series data into equivalence classes such that each class contains data blocks of similar patterns. The authors discuss the issue of similarity and the metrics involved in the derivation of equivalence classes. Four algorithms are discussed along with the results of their performance on stock data
Keywords :
equivalence classes; pattern classification; time series; data patterns classification; equivalence classes; metrics; partitioning; similarity; stock data; time series; Cities and towns; Computational efficiency; Computer science; Educational institutions; Measurement standards; Partitioning algorithms; Shape;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.537777
