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… (More)
Wikipedia

Related topics

Related topics

33 relations
ArchitectArtificial intelligenceAstroinformaticsBig data
(More)

Broader (1)

Information science

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Inverse statistical problems: from the inverse Ising problem to data science
Inverse problems in statistical physics are motivated by the challenges of ‘big data’ in different fields, in particular high… (More)
  • figure 2
  • figure 1
  • figure 3
  • figure 4
  • table I
Is this relevant?
Review
2017
Review
2017
Data Science: A Comprehensive Overview
The 21st century has ushered in the age of big data and data economy, in which data DNA, which carries important knowledge… (More)
  • table I
  • figure 1
  • figure 2
  • table II
  • figure 3
Is this relevant?
Review
2017
Review
2017
Forecasting at Scale
Forecasting is a common data science task that helps organizations with capacity planning, goal setting, and anomaly detection… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 4
Is this relevant?
Review
2016
Review
2016
Big data preprocessing: methods and prospects
The massive growth in the scale of data has been observed in recent years being a key factor of the Big Data scenario. Big Data… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 4
Is this relevant?
Review
2016
Review
2016
A review and future direction of agile, business intelligence, analytics and data science
Agile methodologies were introduced in 2001. Since this time, practitioners have applied Agile methodologies to many delivery… (More)
  • table 1
  • table 2
  • figure 1
Is this relevant?
Highly Cited
2015
Highly Cited
2015
Process Mining . Data science in action
At last decades people have to accumulate more and more data in different areas. Nowadays a lot of organizations are able to… (More)
  • figure 1
  • table 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2014
Highly Cited
2014
The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data
Biomedical research has and will continue to generate large amounts of data (termed 'big data') in many formats and at all levels… (More)
Is this relevant?
Highly Cited
2014
Highly Cited
2014
Editorial - Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research
Full terms and conditions of use: 
Is this relevant?
Highly Cited
2013
Highly Cited
2013
Data science and prediction
Big data promises automated actionable knowledge creation and predictive models for use by both humans and computers. 
Is this relevant?
Highly Cited
2013
Highly Cited
2013
Data Science , Predictive Analytics , and Big Data : A Revolution That Will Transform Supply Chain Design and Management
W e illuminate the myriad of opportunities for research where supply chain management (SCM) intersects with data science… (More)
  • figure 1
  • table 1
  • figure 2
  • table 2
  • table 3
Is this relevant?