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2014 | OriginalPaper | Chapter

3. Overview on Decision Tree Induction

Author : Kweku-Muata Osei-Bryson

Published in: Advances in Research Methods for Information Systems Research

Publisher: Springer US

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Abstract

The chapter provides an overview of decision tree (DT) induction. Its main purpose is to introduce the reader to the major concepts underlying this data mining technique, particularly those that are relevant to the chapters that involve the use of this technique.

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Literature
go back to reference Breiman L, Friedman J, Olshen R, Stone J (1984) Classification and regression trees. Wadsworth Inc., Belmont Breiman L, Friedman J, Olshen R, Stone J (1984) Classification and regression trees. Wadsworth Inc., Belmont
go back to reference Fournier D, Cremilleux B (2002) A quality index for decision tree pruning. Knowl-Based Syst 15:37–43CrossRef Fournier D, Cremilleux B (2002) A quality index for decision tree pruning. Knowl-Based Syst 15:37–43CrossRef
go back to reference Kim H, Koehler G (1995) Theory and practice of decision tree induction. Omega 23(6):637–652CrossRef Kim H, Koehler G (1995) Theory and practice of decision tree induction. Omega 23(6):637–652CrossRef
go back to reference Ko M, Osei-Bryson K-M (2002) A regression tree based exploration of the impact of information technology investments on firm level productivity. European conference of information systems, pp 507–517 Ko M, Osei-Bryson K-M (2002) A regression tree based exploration of the impact of information technology investments on firm level productivity. European conference of information systems, pp 507–517
go back to reference Osei-Bryson K-M (2004) Evaluation of decision trees: a multi-criteria approach. Comput Oper Res 31(11):1933–1945CrossRef Osei-Bryson K-M (2004) Evaluation of decision trees: a multi-criteria approach. Comput Oper Res 31(11):1933–1945CrossRef
go back to reference Osei-Bryson K-M, Kendall Giles K (2004) An exploration of a set entropy-based hybrid splitting methods for decision tree induction. J Database Manage 15(3):1–17CrossRef Osei-Bryson K-M, Kendall Giles K (2004) An exploration of a set entropy-based hybrid splitting methods for decision tree induction. J Database Manage 15(3):1–17CrossRef
go back to reference Osei-Bryson K-M (2007) Post-pruning in decision tree induction using multiple performance measures. Comput Oper Res 34(11):3331–3345CrossRef Osei-Bryson K-M (2007) Post-pruning in decision tree induction using multiple performance measures. Comput Oper Res 34(11):3331–3345CrossRef
go back to reference Quinlan J (1993) C4.5 Programs for machine learning. Morgan Kaufmann, San Mateo Quinlan J (1993) C4.5 Programs for machine learning. Morgan Kaufmann, San Mateo
go back to reference Taylor P, Silverman B (1993) Block diagrams and splitting criteria for classification trees. Stat Comput 3(4):147–161CrossRef Taylor P, Silverman B (1993) Block diagrams and splitting criteria for classification trees. Stat Comput 3(4):147–161CrossRef
go back to reference Torgo L (1999) Predicting the density of algae communities using local regression trees. Proceedings of the European congress on intelligent techniques and soft computing (EUFIT’99) Torgo L (1999) Predicting the density of algae communities using local regression trees. Proceedings of the European congress on intelligent techniques and soft computing (EUFIT’99)
Metadata
Title
Overview on Decision Tree Induction
Author
Kweku-Muata Osei-Bryson
Copyright Year
2014
Publisher
Springer US
DOI
https://doi.org/10.1007/978-1-4614-9463-8_3

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