Online feature selection for mining big data

Online feature selection for mining big data

Most studies of online learning require accessing all the attributes/features of training instances. Such a classical setting is not always appropriate for real-world applications when data instances are of high dimensionality or the access to it is expensive to acquire the full set of attributes/fe...

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Bibliographic Details
Main Authors: HOI, Steven C. H., WANG, Jialei, ZHAO, Peilin, JIN, Rong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Feature Selection
Online Learning
Classification
Computer Sciences
Databases and Information Systems
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/2402
https://ink.library.smu.edu.sg/context/sis_research/article/3402/viewcontent/OFS.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/2402
https://ink.library.smu.edu.sg/context/sis_research/article/3402/viewcontent/OFS.pdf

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