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Mendeley readers
Chapter title |
Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models
|
---|---|
Chapter number | 3 |
Book title |
WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles
|
Published by |
Springer, Berlin, Heidelberg, July 2002
|
DOI | 10.1007/978-3-540-39663-5_3 |
Book ISBNs |
978-3-54-020304-9, 978-3-54-039663-5
|
Authors |
Alexander Ypma, Tom Heskes, Ypma, Alexander, Heskes, Tom |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Netherlands | 1 | 3% |
Switzerland | 1 | 3% |
Unknown | 29 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 22% |
Student > Ph. D. Student | 7 | 22% |
Professor | 4 | 13% |
Other | 4 | 13% |
Lecturer | 2 | 6% |
Other | 6 | 19% |
Unknown | 2 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 22 | 69% |
Business, Management and Accounting | 3 | 9% |
Mathematics | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Economics, Econometrics and Finance | 1 | 3% |
Other | 2 | 6% |
Unknown | 2 | 6% |