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 |
Mining Low Dimensionality Data Streams of Continuous Attributes
|
---|---|
Chapter number | 33 |
Book title |
Progress in Artificial Intelligence
|
Published by |
Springer, Berlin, Heidelberg, December 2003
|
DOI | 10.1007/978-3-540-24580-3_33 |
Book ISBNs |
978-3-54-020589-0, 978-3-54-024580-3
|
Authors |
Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José C. Riquelme, Ferrer-Troyano, Francisco J., Aguilar-Ruiz, Jesús S., Riquelme, José C. |
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 % |
---|---|---|
Professor | 3 | 43% |
Professor > Associate Professor | 2 | 29% |
Student > Postgraduate | 1 | 14% |
Student > Master | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 86% |
Engineering | 1 | 14% |