Mining Data for Financial Applications: 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers (Lecture Notes in Artificial Intelligence) - Softcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
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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)
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Springer (edition 1st ed. 2020), 2020
ISBN 10: 3030377199
ISBN 13: 9783030377199
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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)
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Mining Data for Financial Applications : 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers
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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 Artificial Intelligence)
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Mining Data for Financial Applications : 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers
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Mining Data for Financial Applications : 4th ECML PKDD Workshop, MIDAS 2019, Wurzburg, Germany, September 16, 2019, Revised Selected Papers
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Mining Data for Financial Applications
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Springer International Publishing Jan 2020, 2020
ISBN 10: 3030377199
ISBN 13: 9783030377199
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 144 pp. Englisch. Seller Inventory # 9783030377199
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Mining Data for Financial Applications: 4th Ecml Pkdd Workshop, Midas 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers
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Springer-Verlag New York Inc, 2020
ISBN 10: 3030377199
ISBN 13: 9783030377199
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