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Data science
Known as:
Data scientist
, Data scientists
, Security data science
Data science is an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured…
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Architect
Artificial intelligence
Astroinformatics
Big data
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Broader (1)
Information science
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science
E. Bolyen
,
J. Rideout
,
+117 authors
J. Caporaso
2018
Corpus ID: 70008644
We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the microbiome research…
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Review
2017
Review
2017
50 Years of Data Science
D. Donoho
2017
Corpus ID: 114558008
ABSTRACT More than 50 years ago, John Tukey called for a reformation of academic statistics. In “The Future of Data Analysis,” he…
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Review
2016
Review
2016
Process Mining: Data Science in Action
Wil M.P. van der Aalst
2016
Corpus ID: 114711181
This is the second edition of Wil van der Aalsts seminal book on process mining, which now discusses the field also in the…
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Highly Cited
2016
Highly Cited
2016
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
,
Carlos Guestrin
Knowledge Discovery and Data Mining
2016
Corpus ID: 4650265
Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end…
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Highly Cited
2016
Highly Cited
2016
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
A. Karpatne
,
G. Atluri
,
+6 authors
Vipin Kumar
IEEE Transactions on Knowledge and Data…
2016
Corpus ID: 7533448
Data science models, although successful in a number of commercial domains, have had limited applicability in scientific problems…
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Highly Cited
2014
Highly Cited
2014
Process Mining: Data science in Action
Julia Rudnitckaia
,
C. Humby
2014
Corpus ID: 44249666
Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not…
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Highly Cited
2014
Highly Cited
2014
Editorial - Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research
Ritu Agarwal
,
V. Dhar
Information systems research
2014
Corpus ID: 15066813
We address key questions related to the explosion of interest in the emerging fields of big data, analytics, and data science. We…
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Highly Cited
2013
Highly Cited
2013
Data Science, Predictive Analytics, and Big Data: A Revolution that Will Transform Supply Chain Design and Management
M. Waller
,
S. Fawcett
2013
Corpus ID: 16294246
We illuminate the myriad of opportunities for research where supply chain management intersects with data science, predictive…
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Highly Cited
2013
Highly Cited
2013
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
F. Provost
,
Tom Fawcett
2013
Corpus ID: 61916383
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental…
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Highly Cited
2012
Highly Cited
2012
Data science and prediction
V. Dhar
CACM
2012
Corpus ID: 6107147
Big data promises automated actionable knowledge creation and predictive models for use by both humans and computers.
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