000 | 01198nam a2200205 4500 | ||
---|---|---|---|
005 | 20250405122347.0 | ||
008 | 230926b2020 |||||||| |||| 00| 0 eng d | ||
020 | _a9780367659141 | ||
020 | _a9781032530741 | ||
082 | _a005.741 AGG-C | ||
100 | _aedited by Aggarwal, Charu C. | ||
245 |
_aData classification : _balgorithms and applications / _cedited by Charu C. Aggarwal |
||
260 |
_aBoca Raton _bCRC Press _c2020 |
||
300 | _a671p. | ||
500 | _aThis book homes in on three primary aspects of data classification: the core methods for data classification, including probabilistic type, decision trees, rule-based methods, and SVM methods; different problem domains and scenarios such as multimedia data, text data, biological data, categorical data, network data, data streams and uncertain data: and different variations of the classification problem such as ensemble methods, visual methods, transfer learning, semi-supervised methods and active learning. These advanced methods can enhance the quality of the underlying classification results. | ||
650 | _aAlgorithms | ||
650 | _aCategories (Mathematics) | ||
650 | _aFile organization (Computer science) | ||
942 | _2ddc | ||
999 |
_c90931 _d90931 |