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Data science: A Review towards the Big Data Problems
7 references·0 citing·35 second hop
Data science: A Review towards the Big Data Problems (2021)Data science: A Review towards the Big Da…Data science for digital culture improvement in higher education using K-means clustering and text analytics (2020)Data science for digital cult…The role of positive and negative valence factors on the impact of bigness of data on big data analytics usage (2018)The role of positive and nega…Situating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions (2018)Situating Ecology as a Big-Da…From Data Science to Value Creation (2017)From Data Science to Value Cr…Data Science: A New Paradigm in the Age of Big-Data Science and Analytics (2017)Data Science: A New Paradigm …The Art of Data Science (2012)The Art of Data ScienceData Science and Prediction (2012)Data Science and PredictionService Design: From Insight to Implementation (2013)Value Proposition Design: How to Create Products and Services Customers Want (2014)Value Proposition Design: How to Create Products and Services Customers Want (2014)Introduction to the Special Issue on Exploring Service Science for Data-Driven Service Design and Innovation (2017)Data Products (2019)Data Science Around the Indexed Literature Perspective (2020)The Structure of Scientific Revolutions (1963)The Fourth Paradigm: Data-Intensive Scientific Discovery (2009)Big Data, new epistemologies and paradigm shifts (2014)Emergency response with mobile geosocial sensing in the post‐app era (2020)Application of Hadoop in Data Science (2022)Big data: The next frontier for innovation, competition, and productivity (2011)Big Data: A Survey (2014)Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)MoveApps: a serverless no-code analysis platform for animal tracking data (2022)‘Small Data’ for big insights in ecology (2023)Big data applications: overview, challenges and future (2024)Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics (1981)Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics (1981)User Acceptance of Information Technology: Toward A Unified View1 (2003)Big data analytics for financial Market volatility forecast based on support vector machine (2019)Why do people use mobile payment technologies and why would they continue? An examination and implications from India (2021)Generative AI-enabled supply chain management: The critical role of coordination and dynamism (2024)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)User acceptance of information technology: system characteristics, user perceptions and behavioral impacts (1993)Using the Technology Acceptance Model in Understanding Academics’ Behavioural Intention to Use Learning Management Systems (2014)Perceived Usefulness and Perceived Ease of Use of Online Learning for Islamic Religious Education Teacher (2023)Conjectures and Refutations (1963)To Explain or to Predict? (2010)Editorial —Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research (2014)‘Personal data literacies’: A critical literacies approach to enhancing understandings of personal digital data (2018)How Social Media Facilitates Political Protest: Information, Motivation, and Social Networks (2018)Data Science (2017)The Data Science Era (2018)Data Science: A Comprehensive Overview (2020)
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References

  • 2012Data Science and Prediction915 cited
  • 2018Situating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions331 cited
  • 2018The role of positive and negative valence factors on the impact of bigness of data on big data analytics usage105 cited
  • 2020Data science for digital culture improvement in higher education using K-means clustering and text analytics27 cited
  • 2017Data Science: A New Paradigm in the Age of Big-Data Science and Analytics21 cited
  • 2017From Data Science to Value Creation18 cited
  • 2012The Art of Data Science9 cited

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