Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11985)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: MIDAS 2019.
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Table of contents (11 papers)
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Front Matter
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Back Matter
Other volumes
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Mining Data for Financial Applications
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Mining Data for Financial Applications
Book Subtitle: 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers
Editors: Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti, Giovanni Ponti
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-37720-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-37719-9Published: 04 January 2020
eBook ISBN: 978-3-030-37720-5Published: 03 January 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 133
Number of Illustrations: 10 b/w illustrations, 27 illustrations in colour
Topics: Artificial Intelligence, Image Processing and Computer Vision, Computer Systems Organization and Communication Networks, Information Systems and Communication Service, e-Commerce/e-business, Computer Appl. in Social and Behavioral Sciences
