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A comparative analysis of Support Vector Machines and Decision Tree Methods for Predicting Individuals' E-Commerce Usage Duration in Turkey.

Authors :
Senger, Ötüken
Ramazanov, Sahib
Source :
Turkish Studies - Economics, Finance, Politics; Jun22023, Vol. 18 Issue 2, p529-550, 22p
Publication Year :
2023

Abstract

<i>Copyright of Turkish Studies - Economics, Finance, Politics is the property of Electronic Turkish Studies and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)

Details

Language :
English
ISSN :
26675625
Volume :
18
Issue :
2
Database :
Complementary Index
Journal :
Turkish Studies - Economics, Finance, Politics
Publication Type :
Academic Journal
Accession number :
166321887
Full Text :
https://doi.org/10.7827/TurkishStudies.66213