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Mendeley readers
Chapter title |
Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters
|
---|---|
Chapter number | 27 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, May 2020
|
DOI | 10.1007/978-3-030-47426-3_27 |
Book ISBNs |
978-3-03-047425-6, 978-3-03-047426-3
|
Authors |
Amira Soliman, Sarunas Girdzijauskas, Mohamed-Rafik Bouguelia, Sepideh Pashami, Slawomir Nowaczyk, Soliman, Amira, Girdzijauskas, Sarunas, Bouguelia, Mohamed-Rafik, Pashami, Sepideh, Nowaczyk, Slawomir |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 19% |
Student > Master | 5 | 19% |
Student > Doctoral Student | 3 | 11% |
Lecturer | 2 | 7% |
Researcher | 2 | 7% |
Other | 5 | 19% |
Unknown | 5 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 52% |
Engineering | 2 | 7% |
Unspecified | 1 | 4% |
Nursing and Health Professions | 1 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Other | 2 | 7% |
Unknown | 6 | 22% |