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Mendeley readers
Chapter title |
How Noisy and Missing Context Influences Predictions in a Practical Context-Aware Data Mining System
|
---|---|
Chapter number | 3 |
Book title |
15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020)
|
Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-57802-2_3 |
Book ISBNs |
978-3-03-057801-5, 978-3-03-057802-2
|
Authors |
Anca Avram, Oliviu Matei, Camelia-M. Pintea, Petrica C. Pop, Carmen Ana Anton, Avram, Anca, Matei, Oliviu, Pintea, Camelia-M., Pop, Petrica C., Anton, Carmen Ana |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 20% |
Student > Bachelor | 1 | 20% |
Other | 1 | 20% |
Student > Postgraduate | 1 | 20% |
Unknown | 1 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 40% |
Medicine and Dentistry | 1 | 20% |
Unspecified | 1 | 20% |
Unknown | 1 | 20% |