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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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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the microbiome research… 
Review
2017
Review
2017
ABSTRACT More than 50 years ago, John Tukey called for a reformation of academic statistics. In “The Future of Data Analysis,” he… 
Review
2016
Review
2016
This is the second edition of Wil van der Aalsts seminal book on process mining, which now discusses the field also in the… 
Highly Cited
2016
Highly Cited
2016
Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end… 
Highly Cited
2016
Highly Cited
2016
Data science models, although successful in a number of commercial domains, have had limited applicability in scientific problems… 
Highly Cited
2014
Highly Cited
2014
Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not… 
Highly Cited
2014
Highly Cited
2014
We address key questions related to the explosion of interest in the emerging fields of big data, analytics, and data science. We… 
Highly Cited
2013
Highly Cited
2013
We illuminate the myriad of opportunities for research where supply chain management intersects with data science, predictive… 
Highly Cited
2013
Highly Cited
2013
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental… 
Highly Cited
2012
Highly Cited
2012
Big data promises automated actionable knowledge creation and predictive models for use by both humans and computers.