Keynote | Technical

Feature selection for Big Data: advances and challenges

Friday 17th | 10:40 - 11:10 | Theatre 20

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Keywords defining the session:

- Feature selection

- Challenges

- Big data

In an era of growing data complexity and volume and the advent of Big Data, feature selection has a key role to play in helping reduce high-dimensionality in machine learning problems. Feature selection has been successfully applied for years as preprocessing step to different scenarios involving huge amounts of data, from DNA microarray analysis to face recognition. However, the current Big Data scenario, in which datasets will only continue to grow in size and number, offers both opportunities and challenges to researchers, as there is an increasing need for scalable yet efficient feature selection methods.