04792nam 22007695 450 99641831660331620200702031915.03-030-37720-210.1007/978-3-030-37720-5(CKB)4900000000505161(DE-He213)978-3-030-37720-5(MiAaPQ)EBC6112374(PPN)242844855(EXLCZ)99490000000050516120200103d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierMining Data for Financial Applications[electronic resource] 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers /edited by Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti, Giovanni Ponti1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (IX, 133 p. 37 illus., 27 illus. in color.) Lecture Notes in Artificial Intelligence ;119853-030-37719-9 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.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.Lecture Notes in Artificial Intelligence ;11985Artificial intelligenceOptical data processingComputer organizationComputersE-commerceApplication softwareArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Computer Systems Organization and Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13006Information Systems and Communication Servicehttps://scigraph.springernature.com/ontologies/product-market-codes/I18008e-Commerce/e-businesshttps://scigraph.springernature.com/ontologies/product-market-codes/I26000Computer Appl. in Social and Behavioral Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/I23028Artificial intelligence.Optical data processing.Computer organization.Computers.E-commerce.Application software.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.006.3Bitetta Valerioedthttp://id.loc.gov/vocabulary/relators/edtBordino Ilariaedthttp://id.loc.gov/vocabulary/relators/edtFerretti Andreaedthttp://id.loc.gov/vocabulary/relators/edtGullo Francescoedthttp://id.loc.gov/vocabulary/relators/edtPascolutti Stefanoedthttp://id.loc.gov/vocabulary/relators/edtPonti Giovanniedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996418316603316Mining Data for Financial Applications2025643UNISA