BOAT-optimistic decision tree construction

Classification is an important data mining problem. Given a training database of records, each tagged with a class label, the goal of classification is to build a concise model that can be used to predict the class label of future, unlabeled records. A very popular class of classifiers are decision...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	SIGMOD record 1999-06, Vol.28 (2), p.169-180
Hauptverfasser:	Gehrke, Johannes, Ganti, Venkatesh, Ramakrishnan, Raghu, Loh, Wei-Yin
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied computing Classification and regression trees Computing methodologies Data mining Decision analysis Decision support systems Discrete mathematics Graph theory Information systems Information systems applications Learning paradigms Machine learning Machine learning approaches Mathematics of computing Operations research Supervised learning Supervised learning by classification Trees
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!