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Mendeley readers
Chapter title |
Differential Evolution for Association Rule Mining Using Categorical and Numerical Attributes
|
---|---|
Chapter number | 9 |
Book title |
Intelligent Data Engineering and Automated Learning – IDEAL 2018
|
Published by |
Springer, Cham, November 2018
|
DOI | 10.1007/978-3-030-03493-1_9 |
Book ISBNs |
978-3-03-003492-4, 978-3-03-003493-1
|
Authors |
Iztok Fister, Andres Iglesias, Akemi Galvez, Javier Del Ser, Eneko Osaba, Fister, Iztok, Iglesias, Andres, Galvez, Akemi, Del Ser, Javier, Osaba, Eneko |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 38% |
Student > Doctoral Student | 1 | 13% |
Other | 1 | 13% |
Researcher | 1 | 13% |
Professor > Associate Professor | 1 | 13% |
Other | 0 | 0% |
Unknown | 1 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 75% |
Engineering | 1 | 13% |
Unknown | 1 | 13% |