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Mendeley readers
Chapter title |
Classification Using Association Rules: Weaknesses and Enhancements
|
---|---|
Chapter number | 30 |
Book title |
Data Mining for Scientific and Engineering Applications
|
Published by |
Springer, Boston, MA, January 2001
|
DOI | 10.1007/978-1-4615-1733-7_30 |
Book ISBNs |
978-1-4020-0114-7, 978-1-4615-1733-7
|
Authors |
Bing Liu, Yiming Ma, Ching-Kian Wong, Liu, Bing, Ma, Yiming, Wong, Ching-Kian |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 2% |
Brazil | 1 | 2% |
Canada | 1 | 2% |
Spain | 1 | 2% |
United States | 1 | 2% |
Unknown | 60 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 29% |
Student > Master | 10 | 15% |
Professor | 6 | 9% |
Student > Bachelor | 6 | 9% |
Researcher | 4 | 6% |
Other | 12 | 18% |
Unknown | 8 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 41 | 63% |
Engineering | 3 | 5% |
Decision Sciences | 2 | 3% |
Mathematics | 2 | 3% |
Environmental Science | 1 | 2% |
Other | 7 | 11% |
Unknown | 9 | 14% |