A knowledge-based fuzzy decision tree classifier for time series modeling
type: Item
instance of: scholarly article
title: A knowledge-based fuzzy decision tree classifier for time series modeling
zbMATH Open document ID: 0691.65110
DOI: 10.1016/0165-0114(89)90212-1
author: Kun Chang Lee
author: Sung Joo Park
published in: Fuzzy Sets and Systems
publication date: 1989-01-01T00:00:00Z
review text: A new approach is suggested to classify a pattern of a particular time series into one of autoregressive moving-average (ARMA) models based on a fuzzyfied decision tree classifier. A knowledge-based tree search algorithm is presented to find promising search. The pattern for input of this algorithm is obtained by means of an extended sample autocorrelation function. The proposed approach essentially results in a fuzzy logic search through the space of possible terminal nodes. Experimental results show the good efficiency of this algorithm.
Mathematics Subject Classification ID: 65C99
Mathematics Subject Classification ID: 94D05
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 68T10
zbMATH DE Number: 4131621
zbMATH Keywords: pattern recognition
zbMATH Keywords: fuzzy decision tree classifier
zbMATH Keywords: pattern matching
zbMATH Keywords: autoregressive moving-average models
zbMATH Keywords: time series
zbMATH Keywords: tree search algorithm
zbMATH Keywords: Experimental results
MaRDI profile type: Publication
full work available at URL: 0165-0114(89)90212-1
OpenAlex ID: W2093574775
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description: scientific article; zbMATH DE number 4131621