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 |
Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform
|
---|---|
Chapter number | 28 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, May 2020
|
DOI | 10.1007/978-3-030-47426-3_28 |
Book ISBNs |
978-3-03-047425-6, 978-3-03-047426-3
|
Authors |
Felix Borutta, Daniyal Kazempour, Felix Mathy, Peer Kröger, Thomas Seidl, Borutta, Felix, Kazempour, Daniyal, Mathy, Felix, Kröger, Peer, Seidl, Thomas |
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 > Ph. D. Student | 4 | 57% |
Professor | 1 | 14% |
Lecturer | 1 | 14% |
Student > Master | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 71% |
Psychology | 1 | 14% |
Unknown | 1 | 14% |