Artnnh Makine Ogrenmesi: Artnnh Suuflandirma

Translated title of the contribution: Incremental Machine Learning: Incremental Classification

Engin Baysal, Cuneyt Bayilmis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

One of the research topics in machine learning is incremental machine learning. The ever-increasing data size and variety in response to the limited memory and processing power make incremental learning approaches mandatory. In this study, focal changes in the data are determined for incremental classification algorithms by defining the general framework of the incremental machine learning approach. In addition, along with the theoretical definition of incremental machine learning, the existing machine learning algorithms that are suitable for incremental machine learning are defined. It is mentioned that in terms of which features of these algorithms are suitable for incremental learning. This study provides a detailed definition for researchers who will work on incremental machine learning issues, as well as defines the incremental classification characteristics and gives information about the focus changes in the data.

Translated title of the contributionIncremental Machine Learning: Incremental Classification
Original languageTurkish
Title of host publicationProceedings - 7th International Conference on Computer Science and Engineering, UBMK 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages268-272
Number of pages5
ISBN (Electronic)9781665470100
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event7th International Conference on Computer Science and Engineering, UBMK 2022 - Diyarbakir, Turkey
Duration: 14 Sept 202216 Sept 2022

Publication series

NameProceedings - 7th International Conference on Computer Science and Engineering, UBMK 2022

Conference

Conference7th International Conference on Computer Science and Engineering, UBMK 2022
Country/TerritoryTurkey
CityDiyarbakir
Period14/09/2216/09/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

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