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Mendeley readers
Chapter title |
Hybrid Subspace Mixture Models for Prediction and Anomaly Detection in High Dimensions
|
---|---|
Chapter number | 23 |
Book title |
Advanced Data Mining and Applications
|
Published by |
Springer, Cham, November 2017
|
DOI | 10.1007/978-3-319-69179-4_23 |
Book ISBNs |
978-3-31-969178-7, 978-3-31-969179-4
|
Authors |
Jenn-Bing Ong, Wee-Keong Ng, Ong, Jenn-Bing, Ng, Wee-Keong |
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 % |
---|---|---|
Student > Ph. D. Student | 1 | 33% |
Student > Doctoral Student | 1 | 33% |
Student > Master | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 67% |
Materials Science | 1 | 33% |