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Mendeley readers
Chapter title |
An Innovative Framework for Supporting Frequent Pattern Mining Problems in IoT Environments
|
---|---|
Chapter number | 49 |
Book title |
Computational Science and Its Applications – ICCSA 2018
|
Published by |
Springer, Cham, May 2018
|
DOI | 10.1007/978-3-319-95174-4_49 |
Book ISBNs |
978-3-31-995173-7, 978-3-31-995174-4
|
Authors |
Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Syed K. Tanbeer, Giorgio Mario Grasso, Braun, Peter, Cuzzocrea, Alfredo, Leung, Carson K., Pazdor, Adam G. M., Tanbeer, Syed K., Grasso, Giorgio Mario |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 3 | 20% |
Student > Ph. D. Student | 2 | 13% |
Researcher | 2 | 13% |
Professor > Associate Professor | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Other | 0 | 0% |
Unknown | 6 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 27% |
Energy | 2 | 13% |
Engineering | 2 | 13% |
Unknown | 7 | 47% |