Soft Computing in Data Science
| Author | : Azlinah Mohamed |
| Publisher | : Springer Nature |
| Total Pages | : 450 |
| Release | : 2021-10-28 |
| ISBN-13 | : 9789811673344 |
| ISBN-10 | : 9811673349 |
| Rating | : 4/5 (49 Downloads) |
Book Synopsis Soft Computing in Data Science by : Azlinah Mohamed
Download or read book Soft Computing in Data Science written by Azlinah Mohamed and published by Springer Nature. This book was released on 2021-10-28 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Soft Computing in Data Science, SCDS 2021, which was held virtually in November 2021. The 31 revised full papers presented were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections on AI techniques and applications; data analytics and technologies; data mining and image processing; machine & statistical learning.
