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 |
Interestingness Classification of Association Rules for Master Data
|
---|---|
Chapter number | 18 |
Book title |
Advances in Data Mining. Applications and Theoretical Aspects
|
Published in |
Lecture notes in computer science, July 2017
|
DOI | 10.1007/978-3-319-62701-4_18 |
Book ISBNs |
978-3-31-962700-7, 978-3-31-962701-4
|
Authors |
Wei Han, Julio Borges, Peter Neumayer, Yong Ding, Till Riedel, Michael Beigl |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 18% |
Student > Bachelor | 2 | 18% |
Student > Doctoral Student | 1 | 9% |
Student > Master | 1 | 9% |
Researcher | 1 | 9% |
Other | 0 | 0% |
Unknown | 4 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 36% |
Engineering | 2 | 18% |
Economics, Econometrics and Finance | 1 | 9% |
Biochemistry, Genetics and Molecular Biology | 1 | 9% |
Unknown | 3 | 27% |