Title :
Inductive classification of temporal objects
Author :
Miura, Takao ; Shioya, Isamu
Author_Institution :
Hosei Univ., Tokyo, Japan
Abstract :
In this investigation we discuss inductive classifiers for temporal information, called temporal decision trees. We assume priority functions along with temporal information which is ignored in conventional studies. Then we discuss how to compute them efficiently. Our basic idea comes from temporal entropy calculation and from multi-dimensional data structures
Keywords :
data mining; decision trees; entropy; learning by example; pattern classification; temporal databases; inductive classification; multi-dimensional data structures; priority functions; temporal decision trees; temporal entropy calculation; temporal information; temporal objects; Back; Classification tree analysis; Data mining; Data processing; Data structures; Decision trees; Expert systems; Monitoring; Time measurement; Training data;
Conference_Titel :
Communications, Computers and Signal Processing, 1999 IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-5582-2
DOI :
10.1109/PACRIM.1999.799474
