Data classification : algorithms and applications /
edited by Charu C. Aggarwal
- Boca Raton CRC Press 2020
- 671p.
This 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.