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Decision-Making Enhancement in a Big Data Environment: Application of the K-Means Algorithm to Mixed Data Cover

Decision-Making Enhancement in a Big Data Environment: Application of the K-Means Algorithm to Mixed Data

Journal of Artificial Intelligence and Soft Computing Research
Volume 9 (2019): Issue 4 (October 2019)
By: Oded Koren,  Carina Antonia Hallin,  Nir Perel and  Dror Bendet  
Open Access
|Aug 2019

Authors

Oded Koren

School of Industrial Engineering and Management, Shenkar - Engineering. Design. Art, Ramat Gan, Israel

Carina Antonia Hallin

Department of International Economics, Government and Business, Copenhagen Business School, Frederiksberg, Denmark

Nir Perel

perelnir@gmail.com

School of Industrial Engineering and Management, Shenkar - Engineering. Design. Art, Ramat Gan, Israel

Dror Bendet

School of Industrial Engineering and Management, Shenkar - Engineering. Design. Art, Ramat Gan, Israel
DOI: https://doi.org/10.2478/jaiscr-2019-0010
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Language: English
Page range: 293 - 302
Submitted on: May 8, 2019
Accepted on: Jul 25, 2019
Published on: Aug 30, 2019
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Big data,
mixed data,
Hadoop,
K-means,
decision making
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2019 Oded Koren, Carina Antonia Hallin, Nir Perel, Dror Bendet, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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