Feature Engineering for Data Streams

Jiliang Tang
Jiliang Tang
Charu Aggarwal
Charu Aggarwal

Feature Engineering for Machine Learning and Data Analytics, pp. 117-143, 2018.

Cited by: 0|Views12

Abstract:

It is well known that the performance of machine learning algorithms strongly depends on the feature representation of the input data [4]. A good set of features provides tremendous flexibilities that allow us to choose fast and simple models. However, the raw representation of data is not usually amenable to learning [13]. Feature engine...More

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