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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… Expand
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ArchitectArtificial intelligenceAstroinformaticsBig data
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Broader (1)

Information science

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Survey on Automated Machine Learning
Machine learning has become a vital part in many aspects of our daily life. However, building well performing machine learning… Expand
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Review
2019
Review
2019
Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science
Process mining, i.e., a sub-field of data science focusing on the analysis of event data generated during the execution of… Expand
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Review
2019
Review
2019
Big Data and data science: A critical review of issues for educational research
  • B. Daniel
  • Br. J. Educ. Technol.
  • 2019
    • Corpus ID: 59524151
Big Data refers to large and disparate volumes of data generated by people, applications and machines. It is gaining increasing… Expand
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Review
2018
Review
2018
Swarm Intelligence Algorithms for Feature Selection: A Review
The increasingly rapid creation, sharing and exchange of information nowadays put researchers and data scientists ahead of a… Expand
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Review
2018
Review
2018
Raincloud plots: a multi-platform tool for robust data visualization
Across scientific disciplines, there is a rapidly growing recognition of the need for more statistically robust, transparent… Expand
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Highly Cited
2018
Highly Cited
2018
QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science
We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the microbiome research… Expand
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Highly Cited
2016
Highly Cited
2016
XGBoost: A Scalable Tree Boosting System
Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end… Expand
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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
We illuminate the myriad of opportunities for research where supply chain management intersects with data science, predictive… Expand
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Highly Cited
2013
Highly Cited
2013
Data Science and Prediction
The use of the term 'Data Science' is becoming increasingly common along with 'Big Data.' What does Data Science mean? Is there… Expand
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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
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental… Expand
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