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Joshua Zhexue Huang · Study
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Author
Joshua Zhexue Huang
8 works
· latest 2024
· 1 institutions
cluster: provisional
ORCID 0000-0002-6797-2571
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Citations
257
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Most cited in this library
Random Sample Partition: A Distributed Data Model for Big Data Analysis
2019 · 113 citations
A Two-Stage Data Processing Algorithm to Generate Random Sample Partitions for Big Data Analysis
2018 · 35 citations
Exploring and cleaning big data with random sample data blocks
2019 · 27 citations
Editorial: Uncertainty in learning from big data
2014 · 27 citations
An Asymptotic Ensemble Learning Framework for Big Data Analysis
2018 · 23 citations
Works
8 shown
CDFRS: A scalable sampling approach for efficient big data analysis
Information Processing & Management
·
2024
·
5 authors
·
Open access
9
citations
Density estimation-based method to determine sample size for random sample partition of big data
Frontiers of Computer Science
·
2023
·
5 authors
10
citations
Exploring and cleaning big data with random sample data blocks
Journal Of Big Data
·
2019
·
3 authors
·
Open access
27
citations
Random Sample Partition: A Distributed Data Model for Big Data Analysis
IEEE Transactions on Industrial Informatics
·
2019
·
3 authors
·
Open access
113
citations
An Asymptotic Ensemble Learning Framework for Big Data Analysis
IEEE Access
·
2018
·
4 authors
·
Open access
23
citations
A Two-Stage Data Processing Algorithm to Generate Random Sample Partitions for Big Data Analysis
Lecture notes in computer science
·
2018
·
6 authors
·
other
35
citations
Empirical analysis of asymptotic ensemble learning for big data
IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
·
2016
·
3 authors
·
other
13
citations
Editorial: Uncertainty in learning from big data
Fuzzy Sets and Systems
·
2014
·
2 authors
·
editorial
27
citations