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Yulin He · Study
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Author
Yulin He
7 works
· latest 2023
· 1 institutions
cluster: provisional
ORCID 0000-0002-3415-0686
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Citations
301
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Most cited in this library
Random Sample Partition: A Distributed Data Model for Big Data Analysis
2019 · 113 citations
Learning from Uncertainty for Big Data: Future Analytical Challenges and Strategies
2016 · 80 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
An Asymptotic Ensemble Learning Framework for Big Data Analysis
2018 · 23 citations
Works
7 shown
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
Learning from Uncertainty for Big Data: Future Analytical Challenges and Strategies
IEEE Systems Man and Cybernetics Magazine
·
2016
·
2 authors
80
citations