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Mendeley readers
Chapter title |
Anomaly Detection Using Agglomerative Hierarchical Clustering Algorithm
|
---|---|
Chapter number | 48 |
Book title |
Information Science and Applications 2018
|
Published by |
Springer, Singapore, June 2018
|
DOI | 10.1007/978-981-13-1056-0_48 |
Book ISBNs |
978-9-81-131055-3, 978-9-81-131056-0
|
Authors |
Fokrul Alom Mazarbhuiya, Mohammed Y. AlZahrani, Lilia Georgieva, Mazarbhuiya, Fokrul Alom, AlZahrani, Mohammed Y., Georgieva, Lilia |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 50% |
Researcher | 2 | 17% |
Lecturer | 2 | 17% |
Unknown | 2 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 50% |
Engineering | 2 | 17% |
Earth and Planetary Sciences | 1 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
Unknown | 2 | 17% |