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Emerging Trends and Challenges in Data Science and Big Data Analytics
2 references·2 citing·11 second hop
Emerging Trends and Challenges in Data Science and Big Data Analytics (2020)Emerging Trends and Challenges in Data Sc…Competing on Analytics: The New Science of Winning (2007)Competing on Analytics: The N…Competing on analytics: the new science of winning (2007)Competing on analytics: the n…Big data analytics in the financial services industry: Trends, challenges, and future prospects: A review (2024)Big data analytics in the fin…Data Science Around the Indexed Literature Perspective (2020)Data Science Around the Index…Data Science and Prediction (2012)The state of the art and taxonomy of big data analytics: view from new big data framework (2019)Research on the social acceptance of renewable energy technologies: Past, present and future (2020)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Digital Business Strategy: Toward a Next Generation of Insights (2013)The global landscape of AI ethics guidelines (2019)Accelerating Fintech optimization and cybersecurity: The role of segment routing and MPLS in service provider networks (2024)Integrating business intelligence and predictive analytics in banking: A framework for optimizing financial decision-making (2024)Closing the Marketing Capabilities Gap (2011)Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err (2014)Critical analysis of Big Data challenges and analytical methods (2016)
this work references cited by second hop

References

  • 2007Competing on Analytics: The New Science of Winning1,133 cited
  • 2007Competing on analytics: the new science of winning941 cited

Cited by

  • 2024Big data analytics in the financial services industry: Trends, challenges, and future prospects: A review20 cited
  • 2020Data Science Around the Indexed Literature Perspective4 cited

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