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Makale detayı · 2021 · article

Decision Trees in Large Data Sets

Dergi International Journal of Engineering Research and Development
ISSN1308-5514
YÖKSİS OpenAlex Açık erişim · diamond TR Index Üst %10
Yıl2021
Atıf19OpenAlex
Atıf17Semantic Scholar · 1 etkili
Yüzdelik%93,9
FWCI3,921,00 = dünya ortalaması

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıInternational Journal of Engineering Research and Development
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex Türkçe

Data mining is the process of obtaining information, which is used to identify and define the relationships between data of different qualities.One of the important problems encountered in this process is the classification process in large data sets.Extensive research has been done to find solutions to this classification problem and different solution methods have been introduced.Some decision tree algorithms are among the structures that can be used effectively in this field.In this article, various decision tree structures and algorithms used for classification process in large data sets are discussed.Along with the definitions of the algorithms, the similarities and existing differences between them were determined, their advantages and disadvantages were investigated.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

19atıfOpenAlex · cited_by_count (önbellek / veritabanı)

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Yazarlar

2
  1. ZEYNEP ÇETİNKAYA 1
  2. FAHRETTİN HORASAN KIRIKKALE ÜNİVERSİTESİ 2