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X Demographics
Mendeley readers
Chapter title |
A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Enumeration
|
---|---|
Chapter number | 27 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer Berlin Heidelberg, January 2014
|
DOI | 10.1007/978-3-662-44851-9_27 |
Book ISBNs |
978-3-66-244850-2, 978-3-66-244851-9
|
Authors |
Shin-ichi Minato, Takeaki Uno, Koji Tsuda, Aika Terada, Jun Sese |
Editors |
Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 3% |
Canada | 1 | 3% |
Unknown | 33 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 26% |
Student > Bachelor | 6 | 17% |
Student > Master | 6 | 17% |
Student > Ph. D. Student | 5 | 14% |
Lecturer | 3 | 9% |
Other | 4 | 11% |
Unknown | 2 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 66% |
Agricultural and Biological Sciences | 4 | 11% |
Biochemistry, Genetics and Molecular Biology | 3 | 9% |
Immunology and Microbiology | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 2 | 6% |