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Mendeley readers
Chapter title |
Outlier Detection on Mixed-Type Data: An Energy-Based Approach
|
---|---|
Chapter number | 8 |
Book title |
Advanced Data Mining and Applications
|
Published in |
Lecture notes in computer science, November 2016
|
DOI | 10.1007/978-3-319-49586-6_8 |
Book ISBNs |
978-3-31-949585-9, 978-3-31-949586-6
|
Authors |
Kien Do, Truyen Tran, Dinh Phung, Svetha Venkatesh, Do, Kien, Tran, Truyen, Phung, Dinh, Venkatesh, Svetha |
Editors |
Jinyan Li, Xue Li, Shuliang Wang, Jianxin Li, Quan Z. Sheng |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Korea, Republic of | 1 | 5% |
Unknown | 20 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 33% |
Student > Master | 4 | 19% |
Lecturer | 2 | 10% |
Student > Bachelor | 1 | 5% |
Other | 1 | 5% |
Other | 1 | 5% |
Unknown | 5 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 57% |
Engineering | 3 | 14% |
Chemical Engineering | 1 | 5% |
Unknown | 5 | 24% |