Overview
- Highlights recent advances in Artificial Intelligence, Machine Learning, Soft Computing, Human–Computer Interaction, and Data Science
- Discusses the applications of new emerging technologies for professionals and researchers alike
- Includes selected articles from the 1st International Conference on Data Science & Machine Learning 2019
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 601)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human–Computer Interaction and various data science & machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
Similar content being viewed by others
Keywords
Table of contents (203 papers)
Editors and Affiliations
About the editors
Marcin Paprzycki is an Associate Professor at the Systems Research Institute, Polish Academy of Sciences. He holds an M.S. from Adam Mickiewicz University in Poznań, Poland, a Ph.D. from Southern Methodist University in Dallas, Texas, and a Doctor of Science from the Bulgarian Academy of Sciences. He is a senior member of the IEEE, a senior member of the ACM, a Senior Fulbright Lecturer, and an IEEE CS Distinguished Visitor. He has contributed to more than 450 publications and was invited to the program committees of over 500 international conferences. He serves on the editorial boards of 12 journals and one book series.
Bibliographic Information
Book Title: ICDSMLA 2019
Book Subtitle: Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications
Editors: Amit Kumar, Marcin Paprzycki, Vinit Kumar Gunjan
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-15-1420-3
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-1419-7Published: 20 May 2020
Softcover ISBN: 978-981-15-1422-7Published: 21 May 2021
eBook ISBN: 978-981-15-1420-3Published: 19 May 2020
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XXI, 1988
Number of Illustrations: 329 b/w illustrations, 675 illustrations in colour
Topics: Computational Intelligence, Big Data/Analytics, Artificial Intelligence, Information Systems Applications (incl. Internet), Mathematical Models of Cognitive Processes and Neural Networks, Big Data