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Mendeley readers
Chapter title |
Feature Selection by Principle Component Analysis for Mining Frequent Association Rules
|
---|---|
Chapter number | 9 |
Book title |
Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16)
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-33609-1_9 |
Book ISBNs |
978-3-31-933608-4, 978-3-31-933609-1
|
Authors |
Tayseer M. F. Taha, Eltayeb Shomo, Nour E. Oweis, Vaclav Snasel |
Editors |
Ajith Abraham, Sergey Kovalev, Valery Tarassov, Václav Snášel |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 1 | 50% |
Unknown | 1 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Unknown | 2 | 100% |