Nature-Inspired Computation in Data Mining and Machine Learning
| 企业作者: | |
|---|---|
| 其他作者: | , |
| 总结: | XI, 273 p. 87 illus., 66 illus. in color. text |
| 语言: | 英语 |
| 出版: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
|
| 版: | 1st ed. 2020. |
| 丛编: | Studies in Computational Intelligence,
855 |
| 主题: | |
| 在线阅读: | https://doi.org/10.1007/978-3-030-28553-1 |
| 格式: | 电子 电子书 |
书本目录:
- Adaptive Improved Flower Pollination Algorithm for Global Optimization
- Algorithms for Optimization and Machine Learning over Cloud
- Implementation of Machine Learning and Data Mining to Improve Cybersecurity and Limit Vulnerabilities to Cyber Attacks
- Comparative analysis of different classifiers on crisis-related tweets: An elaborate study
- An Improved Extreme Learning Machine Tuning by Flower Pollination Algorithm
- Prospects of Machine and Deep Learning in Analysis of Vital Signs for the Improvement of Healthcare Services.