Feature selection, as a data preprocessing strategy, has been proven to be effective and
efficient in preparing data (especially high-dimensional data) for various data-mining and …

We are now in the era of big data, where huge amounts of high-dimensional data become
ubiquitous in a variety of domains, such as social media, healthcare, bioinformatics, and …

Feature selection, as a data preprocessing strategy, has been proven to be effective and
efficient in preparing high-dimensional data for data mining and machine learning problems …

Feature selection, as a data preprocessing strategy, has been proven to be effective and
efficient in preparing data (especially high-dimensional data) for various data-mining and …

Feature selection, as a data preprocessing strategy, has been proven to be effective and
efficient in preparing data (especially high-dimensional data) for various data-mining and …

We are now in the era of big data, where huge amounts of high-dimensional data become
ubiquitous in a variety of domains, such as social media, healthcare, bioinformatics, and …

Feature selection, as a data preprocessing strategy, has been proven to be effective and
efficient in preparing data (especially high-dimensional data) for various data mining and …

Feature selection, as a data preprocessing strategy, has been proven to be effective and
efficient in preparing data (especially high-dimensional data) for various data mining and …

抄録< jats: p> Feature selection, as a data preprocessing strategy, has been proven to be
effective and efficient in preparing data (especially high-dimensional data) for various data …