<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Decision trees

Name: Decision trees
Creator: Jonathan P. Pinder

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 01 Jan 2017 English Publisher:Elsevier BV

Authors: Jonathan P. Pinder;

doi: 10.1016/b978-0-323-91717-9.00002-4 , 10.1016/b978-0-12-810484-2.00003-7

Decision trees

- Summary
- Metrics

Abstract

This chapter provides further detail and depth on the construction of decision trees. Properties of expected value and decision trees are presented along with examples that demonstrate the use of probability and expected value of perfect and imperfect information.

Related Organizations

Wake Forest University
United States

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Found an issue? Give us feedback

Average

Upload OA version

Are you the author? Do you have the OA version of this publication?

uploadUpload now!