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Mendeley readers
Chapter title |
DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors
|
---|---|
Chapter number | 46 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer Berlin Heidelberg, January 2011
|
DOI | 10.1007/978-3-642-23780-5_46 |
Book ISBNs |
978-3-64-223779-9, 978-3-64-223780-5
|
Authors |
Stephan Günnemann, Brigitte Boden, Thomas Seidl |
Editors |
Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Estonia | 1 | 3% |
France | 1 | 3% |
Unknown | 33 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 44% |
Student > Master | 6 | 17% |
Student > Doctoral Student | 3 | 8% |
Professor > Associate Professor | 3 | 8% |
Researcher | 3 | 8% |
Other | 2 | 6% |
Unknown | 3 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 64% |
Engineering | 4 | 11% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Medicine and Dentistry | 1 | 3% |
Mathematics | 1 | 3% |
Other | 0 | 0% |
Unknown | 5 | 14% |