Principles of Data Mining and Knowledge Discovery
Springer Berlin Heidelberg
Chapter title |
Mining All Non-derivable Frequent Itemsets
|
---|---|
Chapter number | 7 |
Book title |
Principles of Data Mining and Knowledge Discovery
|
Published in |
Lecture notes in computer science, September 2002
|
DOI | 10.1007/3-540-45681-3_7 |
Book ISBNs |
978-3-54-044037-6, 978-3-54-045681-0
|
Authors |
Toon Calders, Bart Goethals |
Editors |
Tapio Elomaa, Heikki Mannila, Hannu Toivonen |
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
China | 1 | 2% |
Unknown | 52 | 96% |
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 31% |
Researcher | 11 | 20% |
Student > Master | 10 | 19% |
Professor > Associate Professor | 5 | 9% |
Professor | 4 | 7% |
Other | 7 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 42 | 78% |
Engineering | 3 | 6% |
Physics and Astronomy | 2 | 4% |
Agricultural and Biological Sciences | 2 | 4% |
Arts and Humanities | 1 | 2% |
Other | 2 | 4% |
Unknown | 2 | 4% |