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 10: 3030377199 / ISBN 13: 9783030377199

Verlag: Springer, 2020

Beschreibung

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Bibliografische Details

• Titel: Mining Data for Financial Applications: 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers (Lecture Notes in Computer Science)
• Verlag: Springer
• Veröffentlichungsdatum: 2020
• Sprache: Englisch
• ISBN-10: 3030377199
• ISBN-13: 9783030377199
• Bindung: paperback
• Zustand: Good

Über diesen Titel

Inhaltsangabe

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.