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 |
Customer Segmentation Based on Transactional Data Using Stream Clustering
|
---|---|
Chapter number | 22 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, March 2019
|
DOI | 10.1007/978-3-030-16148-4_22 |
Book ISBNs |
978-3-03-016141-5, 978-3-03-016142-2, 978-3-03-016147-7, 978-3-03-016148-4
|
Authors |
Matthias Carnein, Heike Trautmann |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 13% |
Student > Master | 5 | 13% |
Student > Ph. D. Student | 4 | 10% |
Student > Doctoral Student | 3 | 8% |
Professor | 1 | 3% |
Other | 3 | 8% |
Unknown | 19 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 28% |
Business, Management and Accounting | 5 | 13% |
Engineering | 4 | 10% |
Environmental Science | 1 | 3% |
Unknown | 19 | 48% |