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 |
Towards Healthy Association Rule Mining (HARM): A Fuzzy Quantitative Approach
|
---|---|
Chapter number | 121 |
Book title |
Intelligent Data Engineering and Automated Learning – IDEAL 2006
|
Published by |
Springer, Berlin, Heidelberg, September 2006
|
DOI | 10.1007/11875581_121 |
Book ISBNs |
978-3-54-045485-4, 978-3-54-045487-8
|
Authors |
Maybin Muyeba, M. Sulaiman Khan, Zarrar Malik, Christos Tjortjis |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Greece | 1 | 10% |
Unknown | 9 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 3 | 30% |
Student > Ph. D. Student | 2 | 20% |
Lecturer | 1 | 10% |
Student > Master | 1 | 10% |
Unknown | 3 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 50% |
Business, Management and Accounting | 1 | 10% |
Mathematics | 1 | 10% |
Unknown | 3 | 30% |