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Mendeley readers
Chapter title |
Implications of Probabilistic Data Modeling for Mining Association Rules
|
---|---|
Chapter number | 73 |
Book title |
From Data and Information Analysis to Knowledge Engineering
|
Published by |
Springer, Berlin, Heidelberg, January 2006
|
DOI | 10.1007/3-540-31314-1_73 |
Book ISBNs |
978-3-54-031313-7, 978-3-54-031314-4
|
Authors |
Michael Hahsler, Kurt Hornik, Thomas Reutterer, Hahsler, Michael, Hornik, Kurt, Reutterer, Thomas |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Iran, Islamic Republic of | 1 | 2% |
India | 1 | 2% |
United States | 1 | 2% |
Canada | 1 | 2% |
Unknown | 39 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 28% |
Researcher | 10 | 23% |
Student > Ph. D. Student | 8 | 19% |
Student > Bachelor | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Other | 4 | 9% |
Unknown | 4 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 37% |
Agricultural and Biological Sciences | 6 | 14% |
Mathematics | 2 | 5% |
Business, Management and Accounting | 2 | 5% |
Medicine and Dentistry | 2 | 5% |
Other | 8 | 19% |
Unknown | 7 | 16% |