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Cited by 37 publications
(14 citation statements)
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“…Feature representation has a great impact on improving prediction models [14]. The application of proper Feature Engineering techniques, such as deleting, transforming, merging or splitting features, studying feature correlation, or feature cardinality, among others, are fundamental in machine learning [15]. This subsection covers all the aspects related to the application of data preprocessing, data cleaning, and Feature Engineering techniques in general, detailing the reasons that have led to its application and how it is carried out.…”
Section: B Feature Engineeringmentioning
confidence: 99%
“…Feature representation has a great impact on improving prediction models [14]. The application of proper Feature Engineering techniques, such as deleting, transforming, merging or splitting features, studying feature correlation, or feature cardinality, among others, are fundamental in machine learning [15]. This subsection covers all the aspects related to the application of data preprocessing, data cleaning, and Feature Engineering techniques in general, detailing the reasons that have led to its application and how it is carried out.…”
Section: B Feature Engineeringmentioning
confidence: 99%
“…Feature Engineering is a process that transforms data to create features that have better representation, and are therefore better suited to creating predictive models [31], [32]. There is a wide range of such techniques [33], and some have actually been applied to Recommender Systems [34].…”
Section: ) Feature Engineering: Basic Pre-processingmentioning
confidence: 99%
“…Rather than helping designers and developers as in most existing work, Fernández-García et al [3] introduced a recommendation system suggesting suitable components to end users in a sidebar. Approaches helping designers or users can also be found in commercial solutions such as Microsoft PowerPoint and its PowerPoint Designer, providing layout design ideas in an optional sidebar.…”
Section: Introduction and Related Workmentioning
confidence: 99%