Efficient False Positive Control Algorithms in Big Data Mining

Efficient False Positive Control Algorithms in Big Data Mining

The typical hypothesis testing issue in statistical analysis is determining whether a pattern is significantly associated with a specific class label. This usually leads to highly challenging multiple-hypothesis testing problems in big data mining scenarios, as millions or billions of hypothesis tes...

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Bibliographic Details
Main Authors: Xuze Liu, Yuhai Zhao, Tongze Xu, Fazal Wahab, Yiming Sun, Chen Chen
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied Sciences
Subjects:
false positives
data mining
significance threshold
distributed computing
Online Access:https://www.mdpi.com/2076-3417/13/8/5006

Internet

https://www.mdpi.com/2076-3417/13/8/5006

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