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Mendeley readers
Chapter title |
Clustering-Based Data Reduction Approach to Speed up SVM in Classification and Regression Tasks
|
---|---|
Chapter number | 42 |
Book title |
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices
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Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-55789-8_42 |
Book ISBNs |
978-3-03-055788-1, 978-3-03-055789-8
|
Authors |
Adamo Santana, Souta Inoue, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui, Santana, Adamo, Inoue, Souta, Murakami, Kenya, Iizaka, Tatsuya, Matsui, Tetsuro |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 33% |
Student > Ph. D. Student | 1 | 33% |
Lecturer | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 67% |
Unspecified | 1 | 33% |