Insatiable
发表于 2025-3-25 06:37:29
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平庸的人或物
发表于 2025-3-25 10:18:36
1865-1348 ns, Markets and Services in the Finance Industry, FinanceCom 2016, held in Frankfurt, Germany, in December 2016. . The 2016 workshop especially focused on “The Analytics Revolution in Finance” and brought together leading academics from a broad range of disciplines, including computer science, busin
弯曲道理
发表于 2025-3-25 14:01:14
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基因组
发表于 2025-3-25 17:34:33
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不理会
发表于 2025-3-25 21:37:48
Introducing the Data and the Participants,terpretation of data in automated data analysis. A model-driven architecture with the reference model that capture statistical learning requirement is proposed together with a prototype based around a case study in commodity pricing.
agitate
发表于 2025-3-26 02:18:15
https://doi.org/10.1007/978-1-4613-1947-4lightly longer than positive ones. In addition, announcements released before trading tend to have a more positive sentiment than those released during intraday trading, which may reflect a longer preparation time.
wangle
发表于 2025-3-26 06:20:35
News Sentiment Impact Analysis (NSIA) Framework,acy of the framework in evaluating the impact of a particular news sentiment dataset. The results demonstrate the capability of the framework in bridging the gap between producing a sentiment dataset and evaluating its impact in various financial contexts.
孤僻
发表于 2025-3-26 11:08:55
A Semantic-Based Analytics Architecture and Its Application to Commodity Pricing,terpretation of data in automated data analysis. A model-driven architecture with the reference model that capture statistical learning requirement is proposed together with a prototype based around a case study in commodity pricing.
分离
发表于 2025-3-26 15:31:25
Say It at the Right Time: Publication Time of Financial News,lightly longer than positive ones. In addition, announcements released before trading tend to have a more positive sentiment than those released during intraday trading, which may reflect a longer preparation time.
捐助
发表于 2025-3-26 17:10:20
,Credit Scoring and the Creation of a Generic Predictive Model Using Countries’ Similarities Based oilar country model has been studied. The European Values Study and GESIS Data Archive have been used for research and the similarity coefficient has been calculated and used in the model. The results show that it is possible to build a new model using data from another, similar country and thus minimize costs and risks.