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Rough Set Based Classification Systems Nowicki 1st ed. 2019 edition
Rough Set Based Classification Systems
Nowicki
Pawlak. The proposed classifiers are applied and tested in two configurations: The first is an iterative mode in which a single classification system requests completion of the input data until an unequivocal decision (classification) is obtained.
188 pages, 125 Illustrations, black and white; XIII, 188 p. 125 illus.
| 介质类型 | 图书 Book |
| 已发行 | 2019年2月5日 |
| ISBN13 | 9783030038946 |
| 出版商 | Springer Nature Switzerland AG |
| 页数 | 188 |
| 商品尺寸 | 150 × 220 × 20 mm · 462 g |
| 语言 | 德语 |
