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Timeline
Mendeley readers
Chapter title |
LIUBoost: Locality Informed Under-Boosting for Imbalanced Data Classification
|
---|---|
Chapter number | 12 |
Book title |
Emerging Technologies in Data Mining and Information Security
|
Published by |
Springer, Singapore, January 2019
|
DOI | 10.1007/978-981-13-1498-8_12 |
Book ISBNs |
978-9-81-131497-1, 978-9-81-131498-8
|
Authors |
Sajid Ahmed, Farshid Rayhan, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Ahmed, Sajid, Rayhan, Farshid, Mahbub, Asif, Rafsan Jani, Md., Shatabda, Swakkhar, Farid, Dewan Md. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 12% |
Other | 3 | 12% |
Lecturer | 2 | 8% |
Student > Bachelor | 2 | 8% |
Student > Master | 2 | 8% |
Other | 6 | 23% |
Unknown | 8 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 35% |
Engineering | 2 | 8% |
Arts and Humanities | 1 | 4% |
Business, Management and Accounting | 1 | 4% |
Mathematics | 1 | 4% |
Other | 2 | 8% |
Unknown | 10 | 38% |