Fast Data Reduction With Granulation-Based Instances Importance Labeling

Fast Data Reduction With Granulation-Based Instances Importance Labeling

Data reduction has become greatly significant prior to applying instance-based machine learning algorithms in the Big Data era. Data reduction is used to reduce the size of data sets while retaining representative data. Existing algorithms, however, suffer from heavy computational cost and in having...

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Bibliographic Details
Main Authors: Xiaoyan Sun, Lian Liu, Cong Geng, Shaofeng Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Data reduction
granular computing
data importance label
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Online Access:https://ieeexplore.ieee.org/document/8585005/

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https://ieeexplore.ieee.org/document/8585005/

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