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003			ES-MaUEC
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008			210114s2021 gw a o |1|| 0|eng d
020			_a9783030669812
024	7		_a10.1007/978-3-030-66981-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.D343 _b2021 EB
245	0	0	_aMining data for financial applications : _b5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers _cedited by Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini
250			_aFirst edition 2021
264		1	_aCham, Switzerland _bSpringer International Publising _c2021
300			_a1 recurso en línea (X, 151 páginas) _b64 ilustraciones, 50 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aLecture Notes in Artificial Intelligence _v12591
505	0		_aTrade Selection with Supervised Learning and Optimal Coordinate Ascent (OCA) -- How much does Stock Prediction improve with Sentiment Analysis? -- Applying Machine Learning to Predict Closing Prices in Stock Market: a case study -- Financial Fraud Detection with Improved Neural Arithmetic Logic Units -- Information Extraction from the GDELT Database to Analyse EU Sovereign Bond Markets -- Multi-Objective Particle Swarm Optimization for Feature Selection in Credit Scoring -- A comparative analysis of Temporal Long Text Similarity: Application to Financial Documents -- Ranking Cryptocurrencies by Brand Importance: a Social Media Analysis in ENEAGRID -- Towards the Prediction of Electricity Prices at the Intraday Market Using Shallow and Deep-Learning Methods -- Neither in the Programs Nor in the Data: Mining the Hidden Financial Knowledge with Knowledge Graphs and Reasoning -- Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting.
520	3		_a"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.
988			_aSpringer_Computer_2021
650		7	_2embne _aData mining _vCongresos y asambleas _9162648
650		7	_2embne _9147793 _aProtección de datos _vCongresos y asambleas
700	1		_aBitetta, Valerio _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBordino, Ilaria _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aFerretti, Andrea _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGullo, Francesco _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aPonti, Giovanni _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSeverini, Lorenzo _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-66981-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2021 _dz _eb _zSI