This book constitutes revised selected papers from the 4th Workshop on Mining Data for Financial Applications, MIDAS 2019, held in conjunction with ECML PKDD 2019, in Würzburg, Germany, in September 2019. The 8 full and 3 short papers presented in this volume were carefully reviewed and selected from 16 submissions. They deal with challenges, potentialities, and applications of leveraging data-mining tasks regarding problems in the financial domain.
| ISBN: | 9783030377199 |
| Publication date: | 4th January 2020 |
| Author: | Valerio Bitetta |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 133 pages |
| Series: | Lecture Notes in Computer Science |
| Genres: |
Artificial intelligence Data mining Image processing Computer vision Computer networking and communications Finance and the finance industry |
This book constitutes revised selected papers from the 4th Workshop on Mining Data for Financial Applications, MIDAS 2019, held in conjunction with ECML PKDD 2019, in Würzburg, Germany, in September 2019. The 8 full and 3 short papers presented in this volume were carefully reviewed and selected from 16 submissions. They deal with challenges, potentialities, and applications of leveraging data-mining tasks regarding problems in the financial domain.
Mining Data for Financial Applications features in the following genres: Artificial intelligence, Data mining, Image processing, Computer vision, Computer networking and communications, Finance and the finance industry
Mining Data for Financial Applications is available in Paperback
Mining Data for Financial Applications was written by Valerio Bitetta and published by Springer Nature Switzerland AG
Mining Data for Financial Applications has 133 pages
Yes it is part of Lecture Notes in Computer Science series
£40.49