https://www.mdu.se/

mdh.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Incremental Bayesian Classifier for Streaming Data with Concept Drift
Computer Engineering Department, Taiyuan Institute of Technology, Taiyuan, China.
Mälardalens universitet, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0001-9857-4317
College of Software, Taiyuan University of Technology, Jinzhong, China.
Department of Information Engineering, Taiyuan City Vocational College, Taiyuan, China.
2023 (engelsk)Inngår i: Lecture Notes on Data Engineering and Communications Technologies, Springer Science and Business Media Deutschland GmbH , 2023, Vol. 153, s. 509-518Kapittel i bok, del av antologi (Annet vitenskapelig)
Abstract [en]

Classification is an important task in the field of machine learning. Most classifiers based on offline learning are invalid for open data streams. In contrast, incremental learning is feasible for continuous data. This paper presents the Incremental Bayesian Classifier “Incremental_BC”, which continuously updates the probabilistic information according to each new training sample via recursive calculation. Further, the Incremental_BC is improved to deal with the flowing data whose distribution and property evolve with time, i.e., the concept drift. The effectiveness of the proposed methods has been verified by the results of simulation tests on benchmark data sets.

sted, utgiver, år, opplag, sider
Springer Science and Business Media Deutschland GmbH , 2023. Vol. 153, s. 509-518
Emneord [en]
Classification (of information), Data streams, E-learning, Bayesian classifier, Concept drifts, Continuous data, Data stream, Incremental learning, Machine-learning, Off-line learning, Online learning, Open datum, Streaming data, Open Data, Concept drift
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-61963DOI: 10.1007/978-3-031-20738-9_58ISI: 000964184200058Scopus ID: 2-s2.0-85147842399OAI: oai:DiVA.org:mdh-61963DiVA, id: diva2:1738690
Tilgjengelig fra: 2023-02-22 Laget: 2023-02-22 Sist oppdatert: 2023-05-03bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Person

Wu, PengXiong, Ning

Søk i DiVA

Av forfatter/redaktør
Wu, PengXiong, Ning
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 43 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf