Feature selection: A data perspective
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
machine-learning problems. The objectives of feature selection include building simpler and …
efficient in preparing data (especially high-dimensional data) for various data-mining and
machine-learning problems. The objectives of feature selection include building simpler and …
Feature Selection: A Data Perspective
J Li, K Cheng, S Wang, F Morstatter… - ACM Computing …, 2018 - dl.acm.org
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
machine-learning problems. The objectives of feature selection include building simpler and …
efficient in preparing data (especially high-dimensional data) for various data-mining and
machine-learning problems. The objectives of feature selection include building simpler and …
[PDF][PDF] Feature Selection: A Data Perspective
J Li, K Cheng, S Wang, F Morstatter, RP Trevino… - people.virginia.edu
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
online education. The rapid growth of data presents challenges for effective and efficient …
ubiquitous in a variety of domains, such as social media, healthcare, bioinformatics and
online education. The rapid growth of data presents challenges for effective and efficient …
Feature selection: A data perspective
J Li, K Cheng, S Wang, F Morstatter… - ACM Computing …, 2017 - asu.pure.elsevier.com
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
machine-learning problems. The objectives of feature selection include building simpler and …
efficient in preparing data (especially high-dimensional data) for various data-mining and
machine-learning problems. The objectives of feature selection include building simpler and …
[PDF][PDF] Feature Selection: A Data Perspective
J LI, K CHENG, S WANG, F MORSTATTER - 2017 - isi.edu
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
online education. The rapid growth of data presents challenges for effective and efficient …
ubiquitous in a variety of domains, such as social media, healthcare, bioinformatics, and
online education. The rapid growth of data presents challenges for effective and efficient …
Feature Selection: A Data Perspective
J Li, K Cheng, S Wang, F Morstatter, RP Trevino… - arXiv preprint arXiv …, 2016 - arxiv.org
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
machine learning problems. The objectives of feature selection include: building simpler and …
efficient in preparing data (especially high-dimensional data) for various data mining and
machine learning problems. The objectives of feature selection include: building simpler and …
Feature Selection: A Data Perspective
J Li, K Cheng, S Wang, F Morstatter, RP Trevino… - arXiv, 2016 - ui.adsabs.harvard.edu
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
machine learning problems. The objectives of feature selection include: building simpler and …
efficient in preparing data (especially high-dimensional data) for various data mining and
machine learning problems. The objectives of feature selection include: building simpler and …
[PDF][PDF] Feature Selection: A Data Perspective
J LI, K CHENG, S WANG, F MORSTATTER - 2017 - isi.edu
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
online education. The rapid growth of data presents challenges for effective and efficient …
ubiquitous in a variety of domains, such as social media, healthcare, bioinformatics, and
online education. The rapid growth of data presents challenges for effective and efficient …
Feature selection: A data perspective
J Li, K Cheng, S Wang, F Morstatter… - ACM Computing …, 2017 - pennstate.pure.elsevier.com
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
machine-learning problems. The objectives of feature selection include building simpler and …
efficient in preparing data (especially high-dimensional data) for various data-mining and
machine-learning problems. The objectives of feature selection include building simpler and …
