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ChapterWhat Is Data Science?

Michael L. Brodie2019

Chapter2019

What Is Data Science?

Michael L. Brodie

21 citations·0/0 files stored·Springer eBooks

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Big Data Technologies and Applications Big Data and Business Intelligence Knowledge Management and Technology

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References

2014Capital in the Twenty-First Century 2013Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management 2003Exploratory Data Mining and Data Cleaning 2011The Fourth Paradigm: Data-Intensive Scientific Discovery [Point of View]2015The Proliferation of “Big Data” and Implications for Official Statistics and Statistical Agencies 2015Understanding Data Science: An Emerging Discipline for Data Intensive Discovery.

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2019On Developing Data Science

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2017Big Data and data science: A critical review of issues for educational researcharticle · 2 shared references 2020Big Data and the Ethical Implications of Data Privacy in Higher Education Researcharticle · 2 shared references 2017Embedded analytics: improving decision support for humanitarian logistics operationsarticle · 2 shared references 2015The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st centuryarticle · 1 shared reference 2015Big other: Surveillance Capitalism and the Prospects of an Information Civilizationarticle · 1 shared reference 2017The revenge of the places that don’t matter (and what to do about it)article · 1 shared reference

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Year2019

Typechapter

Published2019-01-01

VenueSpringer eBooks

Languageen

Citations21

Files0 public / 0

ShelfBig Data Technologies and Applications

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doi10.1007/978-3-030-11821-1_8

openalex_workW2950844706

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