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Feature engineering is one of the most important and time consuming tasks in predictive analytics projects.
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
L. Getoor and B. Taskar · 2007
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E. Brochu, V. M. Cora, and N. De Freitas · 2010
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Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms
C. Thornton, F. Hutter, H. H. Hoos, and K. Leyton-Brown · 2013
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READ: rapid data exploration, analysis and discovery
U. Khurana, S. Parthasarathy, and D. S. Turaga · 2014
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Automatic construction and Natural-Language description of nonparametric regression models
J. R. Lloyd, D. Duvenaud, R. Grosse, J. B. Tenenbaum, and Z. Ghahramani · 2014
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Towards cognitive automation of data science
A. Biem, M. Butrico, M. Feblowitz, T. Klinger, Y. Malitsky, K. Ng, A. Perer, C. Reddy, A. Riabov, H. Samulowitz, D. M. Sow, G. Tesauro, and D. S. Turaga · 2015
Cited alongside, same era.
Efficient and robust automated machine learning
M. Feurer, A. Klein, K. Eggensperger, J. Springenberg, M. Blum, and F. Hutter · 2015
Cited alongside, same era.
Deep feature synthesis: Towards automating data science endeavors
J. M. Kanter and K. Veeramachaneni · 2015
Cited alongside, same era.
Cognito: Automated Feature Engineering for Supervised Learning , ICDM 2016
U. Khurana, D. Turaga, H. Samulowitz, and S. Parthasarathy, editors · 2016
Later among the works it cites.
Auto-weka 2.0: Automatic model selection and hyperparameter optimization in weka
L. Kotthoff, C. Thornton, H. H. Hoos, F. Hutter, and K. Leyton-Brown · 2016
Later among the works it cites.
Evaluation of a tree-based pipeline optimization tool for automating data science
R. S. Olson, N. Bartley, R. J. Urbanowicz, and J. H. Moore · 2016
Later among the works it cites.
Automatic frankensteining: Creating complex ensembles autonomously
M. Wistuba, S. Nicolas, and L. Schmidt-Thieme · 2017
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