Mining Data for Financial Applications: 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, Septe
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- Artikel-Nr.: 10397237
Beschreibung
MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning.- Curriculum Learning in Deep Neural Networks for Financial Forecasting.- Representation Learning in Graphs for Credit Card Fraud Detection.- Firms Default Prediction with Machine Learning.- Convolutional Neural Networks, Image Recognition and Financial Time Series Forecasting.- Mining Business Relationships from Stocks and News.- Mining Financial Risk Events from News and Assessing their impact on Stocks.- Monitoring the Business Cycle with Fine-grained, Aspect-based Sentiment Extraction from News.- Multi-step Prediction of Financial Asset Return Volatility Using Parsimonious Autoregressive Sequential Model.- Big Data Financial Sentiment Analysis in the European Bond Markets.- A Brand Scoring System for Cryptocurrencies Based on Social Media Data.
Eigenschaften
Breite: | 155 |
Gewicht: | 231 g |
Höhe: | 235 |
Länge: | 8 |
Seiten: | 133 |
Sprachen: | Englisch |
Autor: | Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Ilaria Bordino, Stefano Pascolutti, Valerio Bitetta |
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