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- Title
Classification of Multivariate Time Series and Structured Data Using Constructive Induction.
- Authors
Mohammed Waleed Kadous; Claude Sammut
- Abstract
We present a method of constructive induction aimed at learning tasks involving multivariate time series data. Using metafeatures, the scope of attribute-value learning is expanded to domains with instances that have some kind of recurring substructure, such as strokes in handwriting recognition, or local maxima in time series data. The types of substructures are defined by the user, but are extracted automatically and are used to construct attributes.
- Subjects
TIME Series Processor (Computer program language); PROGRAMMING languages; TASK analysis; ELECTRONIC data processing
- Publication
Machine Learning, 2005, Vol 58, Issue 2-3, p179
- ISSN
0885-6125
- Publication type
Article
- DOI
10.1007/s10994-005-5826-5