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Deep feature synthesis

Deep Feature Synthesis is an algorithm developed by James Max Kanter and Kalyan Veeramachaneni in their paper "Deep Feature Synthesis: Towards… 
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Related topics

Related topics

5 relations
Data scienceFeature engineeringFeature extractionRelational data mining

Broader (1)

Machine learning

Papers overview

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2018
2018
Solving the False Positives Problem in Fraud Prediction Using Automated Feature Engineering
In this paper, we present an automated feature engineering based approach to dramatically reduce false positives in fraud… 
2017
2017
Towards automatically linking data elements
When presented with a new dataset, human data scientists explore it in order to identify salient properties of the data elements… 
2016
2016
Artificial Intelligence Opportunities and an End-To-End Data-Driven Solution for Predicting Hardware Failures by
Dell’s target to provide quality products based on reliability, security, and manageability, has driven Dell Inc. to become one… 
Highly Cited
2015
Highly Cited
2015
Deep feature synthesis: Towards automating data science endeavors
In this paper, we develop the Data Science Machine, which is able to derive predictive models from raw data automatically. To… 
2015
2015
The data science machine : emulating human intelligence in data science endeavors
Data scientists are responsible for many tasks in the data analysis process including formulating the question, generating… 
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