Towards Cognitive Automation of Data Science

@inproceedings{Biem2015TowardsCA,
  title={Towards Cognitive Automation of Data Science},
  author={Alain Biem and Maria Butrico and Mark Feblowitz and Tim Klinger and Yuri Malitsky and Kenney Ng and Adam Perer and Chandra Reddy and Anton Riabov and Horst Samulowitz and Daby M. Sow and Gerald Tesauro and Deepak S. Turaga},
  booktitle={AAAI},
  year={2015}
}
A Data Scientist typically performs a number of tedious and time-consuming steps to derive insight from a raw data set. The process usually starts with data ingestion, cleaning, and transformation (e.g. outlier removal, missing value imputation), then proceeds to model building, and finally a presentation of predictions that align with the end-users objectives and preferences. It is a long, complex, and sometimes artful process requiring substantial time and effort, especially because of the… CONTINUE READING

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