Reference-Based Sequence Classification
Autor: | Quan Zou, Bo Xu, Guangyao Xu, Zengyou He, Chaohua Sheng |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
FOS: Computer and information sciences
Computer Science - Machine Learning General Computer Science Computer science Sequence classification Machine Learning (stat.ML) 02 engineering and technology Machine Learning (cs.LG) Task (project management) Statistics - Machine Learning 020204 information systems hypothesis testing 0202 electrical engineering electronic engineering information engineering General Materials Science Statistical hypothesis testing Sequence (medicine) business.industry sequence embedding General Engineering Pattern recognition Statistical classification ComputingMethodologies_PATTERNRECOGNITION sequential data analysis 020201 artificial intelligence & image processing Artificial intelligence lcsh:Electrical engineering. Electronics. Nuclear engineering business lcsh:TK1-9971 cluster analysis |
Zdroj: | IEEE Access, Vol 8, Pp 218199-218214 (2020) |
ISSN: | 2169-3536 |
Popis: | Sequence classification is an important data mining task in many real world applications. Over the past few decades, many sequence classification methods have been proposed from different aspects. In particular, the pattern-based method is one of the most important and widely studied sequence classification methods in the literature. In this paper, we present a reference-based sequence classification framework, which can unify existing pattern-based sequence classification methods under the same umbrella. More importantly, this framework can be used as a general platform for developing new sequence classification algorithms. By utilizing this framework as a tool, we propose new sequence classification algorithms that are quite different from existing solutions. Experimental results show that new methods developed under the proposed framework are capable of achieving comparable classification accuracy to those state-of-the-art sequence classification algorithms. |
Databáze: | OpenAIRE |
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