001434220 000__ 05166cam\a2200925\i\4500 001434220 001__ 1434220 001434220 003__ OCoLC 001434220 005__ 20230309003716.0 001434220 006__ m\\\\\o\\d\\\\\\\\ 001434220 007__ cr\nn\nnnunnun 001434220 008__ 210114s2021\\\\sz\a\\\\ob\\\\101\0\eng\d 001434220 019__ $$a1231653510$$a1232281448$$a1236301405$$a1241065561$$a1249944330 001434220 020__ $$a3030669815$$q(electronic book) 001434220 020__ $$a9783030669812$$q(electronic bk.) 001434220 020__ $$z9783030669805 001434220 020__ $$z3030669807 001434220 0247_ $$a10.1007/978-3-030-66981-2$$2doi 001434220 035__ $$aSP(OCoLC)1238204475 001434220 040__ $$aDCT$$beng$$erda$$epn$$cDCT$$dEBLCP$$dSFB$$dOCLCO$$dGW5XE$$dYDX$$dDKU$$dOCLCF$$dOCLCO$$dLEATE$$dOCL$$dOCLCO$$dOCLCQ$$dOCLCO$$dCOM$$dN$T$$dOCLCO$$dOCLCQ 001434220 049__ $$aISEA 001434220 050_4 $$aQA76.9.D343 001434220 08204 $$a006.3$$223 001434220 1112_ $$aMIDAS (Workshop)$$n(5th :$$d2020 :$$cOnline) 001434220 24510 $$aMining data for financial applications :$$b5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, revised selected papers /$$cValerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini (eds.). 001434220 2463_ $$aMIDAS 2020 001434220 2463_ $$a5th ECML PKDD Workshop 001434220 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021] 001434220 300__ $$a1 online resource (x, 151 pages) :$$billustrations (some color) 001434220 336__ $$atext$$btxt$$2rdacontent 001434220 337__ $$acomputer$$bc$$2rdamedia 001434220 338__ $$aonline resource$$bcr$$2rdacarrier 001434220 347__ $$atext file 001434220 347__ $$bPDF 001434220 4901_ $$aLecture notes in artificial intelligence ;$$v12591 001434220 4901_ $$aLNCS sublibrary. SL 7, Artificial intelligence 001434220 500__ $$aInternational conference proceedings. Held virtually September 14-18, 2020. 001434220 504__ $$aIncludes bibliographical references and author index. 001434220 5050_ $$aTrade Selection with Supervised Learning and Optimal Coordinate Ascent (OCA) -- How much does Stock Prediction improve with Sentiment Analysis? -- Applying Machine Learning to Predict Closing Prices in Stock Market: a case study -- Financial Fraud Detection with Improved Neural Arithmetic Logic Units -- Information Extraction from the GDELT Database to Analyse EU Sovereign Bond Markets -- Multi-Objective Particle Swarm Optimization for Feature Selection in Credit Scoring -- A comparative analysis of Temporal Long Text Similarity: Application to Financial Documents -- Ranking Cryptocurrencies by Brand Importance: a Social Media Analysis in ENEAGRID -- Towards the Prediction of Electricity Prices at the Intraday Market Using Shallow and Deep-Learning Methods -- Neither in the Programs Nor in the Data: Mining the Hidden Financial Knowledge with Knowledge Graphs and Reasoning -- Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting. 001434220 506__ $$aAccess limited to authorized users. 001434220 520__ $$a"Information Extraction from the GDELT Database to Analyse EU Sovereign Bond Markets" and "Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. 001434220 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 3, 2021). 001434220 650_0 $$aData mining$$vCongresses. 001434220 650_0 $$aFinance$$xData processing$$vCongresses. 001434220 650_0 $$aData protection$$vCongresses. 001434220 650_0 $$aBig data$$xSecurity measures$$vCongresses. 001434220 650_0 $$aArtificial intelligence. 001434220 650_0 $$aEducation$$xData processing. 001434220 650_0 $$aApplication software. 001434220 650_0 $$aData mining. 001434220 650_0 $$aComputer organization. 001434220 650_6 $$aExploration de données (Informatique)$$vCongrès. 001434220 650_6 $$aFinances$$xInformatique$$vCongrès. 001434220 650_6 $$aProtection de l'information (Informatique)$$vCongrès. 001434220 650_6 $$aDonnées volumineuses$$xSécurité$$xMesures$$vCongrès. 001434220 650_6 $$aIntelligence artificielle. 001434220 650_6 $$aÉducation$$xInformatique. 001434220 650_6 $$aLogiciels d'application. 001434220 650_6 $$aExploration de données (Informatique) 001434220 650_6 $$aOrdinateurs$$xConception et construction. 001434220 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001434220 655_7 $$aConference papers and proceedings.$$2lcgft 001434220 655_7 $$aActes de congrès.$$2rvmgf 001434220 655_0 $$aElectronic books. 001434220 7001_ $$aBitetta, Valerio,$$eeditor. 001434220 7001_ $$aBordino, Ilaria,$$eeditor. 001434220 7001_ $$aFerretti, Andrea,$$eeditor. 001434220 7001_ $$aGullo, Francesco,$$eeditor. 001434220 7001_ $$aPonti, Giovanni,$$eeditor. 001434220 7001_ $$aSeverini, Lorenzo,$$eeditor. 001434220 7112_ $$aECML PKDD (Conference)$$d(2020 :$$cOnline),$$jjointly held conference. 001434220 77608 $$iPrint version:$$z9783030669805 001434220 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 001434220 830_0 $$aLecture notes in computer science ;$$v12591. 001434220 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 001434220 852__ $$bebk 001434220 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-66981-2$$zOnline Access$$91397441.1 001434220 909CO $$ooai:library.usi.edu:1434220$$pGLOBAL_SET 001434220 980__ $$aBIB 001434220 980__ $$aEBOOK 001434220 982__ $$aEbook 001434220 983__ $$aOnline 001434220 994__ $$a92$$bISE