Soft Computing in Data Science

Discover the cutting-edge insights in "Soft Computing in Data Science," authored by Azlinah Mohamed and published by Springer Verlag in 2021. This comprehensive volume features the refereed proceedings from the 6th International Conference on Soft Computing in Data Science (SCDS 2021), which took place virtually in November 2021. With a total of 440 pages, this first edition presents 31 meticulously reviewed papers selected from 79 submissions, covering essential topics such as data analytics, data mining, and image processing. Ideal for researchers, practitioners, and students alike, this book serves as a valuable resource for anyone looking to deepen their understanding of soft computing applications in the realm of data science. Enhance your knowledge and stay ahead in the rapidly evolving field of data science with this essential read.