Principles of Data Mining and Knowledge Discovery
Springer Science & Business Media
Chapter title |
Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation?
|
---|---|
Chapter number | 38 |
Book title |
Principles of Data Mining and Knowledge Discovery
|
Published by |
Springer, Berlin, Heidelberg, September 1999
|
DOI | 10.1007/978-3-540-48247-5_38 |
Book ISBNs |
978-3-54-066490-1, 978-3-54-048247-5
|
Authors |
Ad Feelders, Feelders, Ad |
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Germany | 1 | 2% |
France | 1 | 2% |
Taiwan | 1 | 2% |
Unknown | 59 | 94% |
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 33% |
Student > Doctoral Student | 8 | 13% |
Researcher | 6 | 10% |
Student > Master | 6 | 10% |
Other | 5 | 8% |
Other | 13 | 21% |
Unknown | 4 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 25% |
Mathematics | 12 | 19% |
Engineering | 5 | 8% |
Social Sciences | 4 | 6% |
Agricultural and Biological Sciences | 3 | 5% |
Other | 17 | 27% |
Unknown | 6 | 10% |