Automated Data Cleansing through Meta-Learning

THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp. 4760-4761, 2017.

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Abstract:

Data preprocessing or cleansing is one of the biggest hurdles in industry for developing successful machine learning applications. The process of data cleansing includes data imputation, feature normalization & selection, dimensionality reduction, and data balancing applications. Currently such preprocessing is manual. One approach for au...More

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