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Interpretable decision-tree induction in a big data parallel framework Cover

Interpretable decision-tree induction in a big data parallel framework

International Journal of Applied Mathematics and Computer Science
Volume 27 (2017): Issue 4 (December 2017)
By: Abraham Itzhak Weinberg and  Mark Last  
Open Access
|Jan 2018

Authors

Abraham Itzhak Weinberg

weinberA@post.bgu.ac.il

Department of Software and Information Systems Engineering Ben-Gurion University of the Negev, P.O.B. 653,, Beer-Sheva, Israel

Mark Last

mlast@bgu.ac.il

Department of Software and Information Systems Engineering Ben-Gurion University of the Negev, P.O.B. 653,, Beer-Sheva, Israel
DOI: https://doi.org/10.1515/amcs-2017-0051 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 737 - 748
Submitted on: Nov 30, 2016
Accepted on: Aug 8, 2017
Published on: Jan 13, 2018
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
big data,
parallel computing,
MAPREDUCE,
decision trees,
editing distance,
tree similarity
Related subjects:
Mathematics,
Applied mathematics

© 2018 Abraham Itzhak Weinberg, Mark Last, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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