Free delivery for orders over 69.99 euro.

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 69.99 €

DPD courier 5.99 € Bpost point 7.99 € Bpost 7.49 € DPD point 3.49 € GLS courier 4.49 €

Contact

How to shop

Help

My account

▸ Empty :-(

Free delivery for orders over 69.99 euro.

Mining Data for Financial Applications

Name: Mining Data for Financial Applications
Brand: Springer Nature Switzerland AG
SKU: 33563847
Price: 56.8 EUR
Availability: InStock
Author: Ilaria Bordino
ISBN: 9783030669805

Language

English

Book Paperback

Libristo code: 33563847

Publishers Springer Nature Switzerland AG, January 2021

This book constitutes revised selected papers from the 5th Workshop on Mining Data for Financial App... Full description

Libristo code: 33563847

137 b

56.80 €

In stock at our supplier Shipping in 5-8 days

30-day return policy

Customers also purchased

La ciudadela interior / The inner city Pierre Hadot

Paperback

30.77 €

Handlungsorientierung am Beispiel einer Zukunftswerkstatt an der Offenen Schule Waldau Magnus Koch

Paperback

42.82 €

La prigione degli Asini Rossi: Il valore dell'onest? Pio Favia

Paperback

11.53 €

Goldwave 2013 tome 2 Roeck

Paperback

27.63 €

Лоскутные коврики для малышей. Кроим и шьем, развлекаемся и развиваемся! Кристин Ройленс

Paperback

11.43 €

Indagine di radiologia forense in odontoiatria Pratik Parkarwar

Paperback

71.18 €

Ich bin stark wie ein Löwe Yuna

Paperback

10.62 €

Der Geheimagent Joseph Conrad

Paperback

10.62 €

Luthor's Deep-Sea Danger Teo Duarte

Paperback

7.69 €

История государства российского Eric Ries

MP3

19.84 €

This book constitutes revised selected papers from the 5th Workshop on Mining Data for Financial Applications, MIDAS 2020, held in conjunction with ECML PKDD 2020, in Ghent, Belgium, in September 2020.*The 8 full and 3 short papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with challenges, potentialities, and applications of leveraging data-mining tasks regarding problems in the financial domain.*The workshop was held virtually due to the COVID-19 pandemic."Information Extraction from the GDELT Database to Analyse EU Sovereign Bond Markets" and "Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.