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Mendeley readers
Chapter title |
A Framework to Cluster Temporal Data Using Personalised Modelling Approach
|
---|---|
Chapter number | 18 |
Book title |
Recent Advances on Soft Computing and Data Mining
|
Published by |
Springer, Cham, February 2018
|
DOI | 10.1007/978-3-319-72550-5_18 |
Book ISBNs |
978-3-31-972549-9, 978-3-31-972550-5
|
Authors |
Muhaini Othman, Siti Aisyah Mohamed, Mohd Hafizul Afifi Abdullah, Munirah Mohd Yusof, Rozlini Mohamed |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 43% |
Lecturer | 1 | 14% |
Professor | 1 | 14% |
Unknown | 2 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 29% |
Business, Management and Accounting | 1 | 14% |
Decision Sciences | 1 | 14% |
Engineering | 1 | 14% |
Unknown | 2 | 29% |