Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Cybernetics and Information Technologies
Volume 18 (2018): Issue 4 (November 2018)
Open Access
A New Horizo-Vertical Distributed Feature Selection Approach
B. Zerhari
B. Zerhari
Faculty of Sciences, Mohammed V University in Rabat, IT Center
Morocco
Search for this author on
Sciendo
|
Google Scholar
Zerhari, B.
,
A. Ait Lehcen
A. Ait Lehcen
LGS, National School of Applied Sciences (ENSA), Ibn Tofail University
Kenitra, Morocco
Search for this author on
Sciendo
|
Google Scholar
Lehcen, A. Ait
and
S. Mouline
S. Mouline
Faculty of Sciences, Mohammed V University in Rabat, IT Center
Morocco
Search for this author on
Sciendo
|
Google Scholar
Mouline, S.
Dec 14, 2018
Cybernetics and Information Technologies
Volume 18 (2018): Issue 4 (November 2018)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Dec 14, 2018
Page range:
15 - 28
Received:
Apr 05, 2018
Accepted:
Sep 08, 2018
DOI:
https://doi.org/10.2478/cait-2018-0045
Keywords
Feature selection
,
distributed approach
,
dimensionality reduction
© 2018 B. Zerhari et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
