Big Data and Causality
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DOI: 10.1007/s40745-017-0122-3
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References listed on IDEAS
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Cited by:
- Guillaume Wunsch & Federica Russo & Michel Mouchart & Renzo Orsi, 2020.
"Time and Causality in the Social Sciences,"
Working Papers
wp1155, Dipartimento Scienze Economiche, Universita' di Bologna.
- Wunsch, Guillaume & Russo, Federica & Mouchart, Michel & Orsi, Renzo, 2021. "Time and causality in the social sciences," LIDAM Reprints ISBA 2021052, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Mouchart, Michel & Orsi, Renzo & Russo, Federica & Wunsch, Guillaume, 2020. "Time and Causality in the Social Sciences," LIDAM Discussion Papers ISBA 2020022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Emmanuel Afuecheta & Chigozie Utazi & Edmore Ranganai & Chibuzor Nnanatu, 2023. "An Application of Extreme Value Theory for Measuring Financial Risk in BRICS Economies," Annals of Data Science, Springer, vol. 10(2), pages 251-290, April.
- Sanjay Kumar, 2020. "Monitoring Novel Corona Virus (COVID-19) Infections in India by Cluster Analysis," Annals of Data Science, Springer, vol. 7(3), pages 417-425, September.
- Hui Zheng & Peng LI & Jing HE, 2022. "A Novel Association Rule Mining Method for Streaming Temporal Data," Annals of Data Science, Springer, vol. 9(4), pages 863-883, August.
- Hossein Hassani & Xu Huang & Emmanuel Silva & Mansi Ghodsi, 2020. "Deep Learning and Implementations in Banking," Annals of Data Science, Springer, vol. 7(3), pages 433-446, September.
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Keywords
Big data; Data mining techniques; Causality analysis;All these keywords.
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