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 |
Finding Uninformative Features in Binary Data
|
---|---|
Chapter number | 6 |
Book title |
Intelligent Data Engineering and Automated Learning - IDEAL 2005
|
Published by |
Springer, Berlin, Heidelberg, July 2005
|
DOI | 10.1007/11508069_6 |
Book ISBNs |
978-3-54-026972-4, 978-3-54-031693-0
|
Authors |
Xin Wang, Ata Kabán, Wang, Xin, Kabán, Ata |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 11% |
Unknown | 8 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 22% |
Student > Ph. D. Student | 2 | 22% |
Librarian | 1 | 11% |
Student > Doctoral Student | 1 | 11% |
Student > Master | 1 | 11% |
Other | 1 | 11% |
Unknown | 1 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 33% |
Computer Science | 2 | 22% |
Arts and Humanities | 1 | 11% |
Social Sciences | 1 | 11% |
Sports and Recreations | 1 | 11% |
Other | 0 | 0% |
Unknown | 1 | 11% |