Titlebook: Mining Data for Financial Applications; 5th ECML PKDD Worksh Valerio Bitetta,Ilaria Bordino,Lorenzo Severini Conference proceedings 2021 Sp

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書目名稱Mining Data for Financial Applications影響因子(影響力)




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書目名稱Mining Data for Financial Applications被引頻次學(xué)科排名




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0302-9743 on 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 financ

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Conference proceedings 2021s” 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..

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0302-9743 ond 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..978-3-030-66980-5978-3-030-66981-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Conference proceedings 2021ML 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

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Integrated Concepts for the Protection of Cultural Artifacts Against Biodeteriorationed with the analytical and evaluating approach and will be exemplified by the presentation of case studies dealing with the conservation of historical objects made of natural stones, wall-paintings, historical glass, archives (e.g. paper, leather, parchment) and organic coatings.

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Real-Time Soft Shadows Using Temporal Coherenceltering technique to calculate perceptually or even physically plausible soft shadows..On the other hand there is the class of much slower algorithms that calculate physically correct soft shadows by taking and combining many samples of the light..In this paper we present a new soft shadow method th