Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Pattern Trees

Loading...
Thumbnail Image

Date

Authors

Huang, Ziheng
Gedeon, Tamas (Tom)

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

This paper proposes a new type of tree termed pattern trees. Like decision trees, pattern trees are an effective tool for classification applications. This paper discusses the difference between decision trees and pattern trees, and also shows that the subset hood based method and the weighted subsethood based method are two specific cases of pattern trees. A novel pattern tree induction method is proposed. The comparison to other classification methods including fuzzy decision tree induction shows that pattern trees can obtain higher accuracy rates in classifications. In addition, pattern trees are capable of generating patterns with good generality, while decision trees can easily fall into the trap of over-fitting.

Description

Citation

Source

Proceedings 2006 IEEE International Conference on Fuzzy Systems

Book Title

Entity type

Access Statement

License Rights

Restricted until

2037-12-31