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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.
2018
2018
A good neural sequence-to-sequence summarization model should have a strong encoder that can distill and memorize the important… 
2015
2015
Prediction of influenza outbreaks is of utmost importance for health practitioners, officers and people. After the increasing… 
2014
2014
  • C. LeungFan Jiang
  • 2014
  • Corpus ID: 7522653
Nowadays, high volumes of valuable uncertain data can be easily collected or generated at high velocity in many real-life… 
Review
2014
Review
2014
The dark matter halo of the Milky Way is expected to be triaxial and filled with substructure. It is hoped that streams or shells… 
2014
2014
Preference data arises in a wide variety of domains. Over the past decade, we have seen a sharp increase in the volume of… 
2014
2014
Graph analytics is an important big data discovery technique. Applications include identifying influential employees for… 
Review
2014
Review
2014
Master alternative Big Data technologies that can do what Hadoop can't: real-time analytics and iterative machine learning. When… 
2014
2014
Location-based services allow users to perform check-in actions, which not only record their geo-spatial activities, but also… 
1984
1984
Linear Algebra with Applications is a flexible blend of theory, important computational techniques, and interesting applications…