9783030377199-3030377199-Mining Data for Financial Applications: 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers (Lecture Notes in Computer Science)

Mining Data for Financial Applications: 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers (Lecture Notes in Computer Science)

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Mining Data for Financial Applications: 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers (Lecture Notes in Computer Science) (ISBN-13: 9783030377199 and ISBN-10: 3030377199), written by authors Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti, Giovanni Ponti, was published by Springer in 2020. With an overall rating of 3.7 stars, it's a notable title among other AI & Machine Learning (Data Processing, Databases & Big Data, Graphics & Design, Hardware & DIY, Internet, Groupware, & Telecommunications, Networking & Cloud Computing, Graphics & Multimedia, Programming, Software Design, Testing & Engineering, E-Commerce, Internet & Social Media, Computer Science) books. You can easily purchase or rent Mining Data for Financial Applications: 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers (Lecture Notes in Computer Science) (Paperback, Used) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.


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