An attribute-centre based decision tree classification algorithm
Küçük Resim Yok
Tarih
2009
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Decision tree algorithms have very important place at classification model of data mining. In literature, algorithms use entropy concept or gini index to form the tree. The shape of the classes and their closeness to each other some of the factors that affect the performance of the algorithm. In this paper we introduce a new decision tree algorithm which employs data (attribute) folding method and variation of the class variables over the branches to be created. A comparative performance analysis has been held between the proposed algorithm and C4.5.
Açıklama
Anahtar Kelimeler
Classification, Decision tree, Entropy, Gini, Pruning, Split
Kaynak
World Academy of Science, Engineering and Technology
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
56
