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Mendeley readers
Chapter title |
Bias of Importance Measures for Multi-valued Attributes and Solutions
|
---|---|
Chapter number | 38 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2011
|
Published by |
Springer Berlin Heidelberg, June 2011
|
DOI | 10.1007/978-3-642-21738-8_38 |
Book ISBNs |
978-3-64-221737-1, 978-3-64-221738-8
|
Authors |
Houtao Deng, George Runger, Eugene Tuv |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 1% |
Indonesia | 1 | <1% |
Korea, Republic of | 1 | <1% |
Sweden | 1 | <1% |
India | 1 | <1% |
United Kingdom | 1 | <1% |
Canada | 1 | <1% |
Belgium | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 125 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 27 | 20% |
Researcher | 27 | 20% |
Student > Master | 27 | 20% |
Student > Bachelor | 12 | 9% |
Student > Doctoral Student | 8 | 6% |
Other | 20 | 15% |
Unknown | 15 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 54 | 40% |
Engineering | 22 | 16% |
Agricultural and Biological Sciences | 11 | 8% |
Earth and Planetary Sciences | 5 | 4% |
Mathematics | 5 | 4% |
Other | 17 | 13% |
Unknown | 22 | 16% |