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Mendeley readers
Chapter title |
Mining Significant Association Rules from on Information and System Quality of Indonesian E-Government Dataset
|
---|---|
Chapter number | 61 |
Book title |
Recent Advances on Soft Computing and Data Mining
|
Published by |
Springer International Publishing, December 2016
|
DOI | 10.1007/978-3-319-51281-5_61 |
Book ISBNs |
978-3-31-951279-2, 978-3-31-951281-5
|
Authors |
Deden Witarsyah Jacob, Mohd Farhan Md Fudzee, Mohamad Aizi Salamat, Rohmat Saedudin, Zailani Abdullah, Tutut Herawan |
Editors |
Tutut Herawan, Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 17% |
Lecturer | 4 | 11% |
Researcher | 4 | 11% |
Student > Ph. D. Student | 3 | 9% |
Lecturer > Senior Lecturer | 2 | 6% |
Other | 5 | 14% |
Unknown | 11 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 34% |
Business, Management and Accounting | 5 | 14% |
Arts and Humanities | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Unspecified | 1 | 3% |
Other | 2 | 6% |
Unknown | 13 | 37% |