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 |
Mining a Complete Set of Both Positive and Negative Association Rules from Large Databases
|
---|---|
Chapter number | 75 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Berlin, Heidelberg, May 2008
|
DOI | 10.1007/978-3-540-68125-0_75 |
Book ISBNs |
978-3-54-068124-3, 978-3-54-068125-0
|
Authors |
Hao Wang, Xing Zhang, Guoqing Chen, Wang, Hao, Zhang, Xing, Chen, Guoqing |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 7% |
Sudan | 1 | 7% |
Unknown | 13 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 33% |
Researcher | 3 | 20% |
Other | 2 | 13% |
Professor > Associate Professor | 2 | 13% |
Student > Master | 1 | 7% |
Other | 1 | 7% |
Unknown | 1 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 60% |
Unspecified | 1 | 7% |
Mathematics | 1 | 7% |
Engineering | 1 | 7% |
Unknown | 3 | 20% |