You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Application of the Spatial Data Mining Methodology and Gamification for the Optimisation of Solving the Transport Issues of the “Varsovian Mordor”
|
---|---|
Chapter number | 10 |
Book title |
Data Mining and Big Data
|
Published by |
Springer, Cham, June 2016
|
DOI | 10.1007/978-3-319-40973-3_10 |
Book ISBNs |
978-3-31-940972-6, 978-3-31-940973-3
|
Authors |
Robert Olszewski, Agnieszka Turek |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Finland | 1 | 3% |
Unknown | 32 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 15% |
Lecturer | 4 | 12% |
Student > Ph. D. Student | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Student > Bachelor | 2 | 6% |
Other | 7 | 21% |
Unknown | 10 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 18% |
Mathematics | 2 | 6% |
Engineering | 2 | 6% |
Economics, Econometrics and Finance | 2 | 6% |
Business, Management and Accounting | 1 | 3% |
Other | 7 | 21% |
Unknown | 13 | 39% |