Iterative Data Processing
Iterative Data Processing is a distributed data processing paradigm that belongs to the class of data processing methods and is distinguished by its repeated execution of computational steps over the same dataset until a convergence criterion or termination condition is satisfied.
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8.5K
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530
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248
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2017–2026
45
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Symmetric iterative interpolation processes
Gilles Deslauriers, Serge Dubuc · Constructive Approximation · 1989 · 570 citations
Basic Concepts and Techniques of Rapid Appraisal
James R. Beebe · Human Organization · 1995 · 351 citations
Nursing, Information Systems, Communication Research Methods +10
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Northeastern University
Boston, United States
6 h-index
10 publications
608 citations

Northeastern University
Shenyang, China
6 h-index
16 publications
1.5K citations

University of Massachusetts Amherst
Amherst Center, United States
5 h-index
6 publications
658 citations
Technische Universität Berlin
Berlin, Germany
4 h-index
16 publications
492 citations
Universitat Politècnica de València
Valencia, Spain
3 h-index
6 publications
126 citations

City University of Hong Kong
Hong Kong, Hong Kong
3 h-index
6 publications
384 citations
University of Stuttgart
Stuttgart, Germany
3 h-index
11 publications
367 citations
University at Buffalo, State University of New York
Buffalo, United States
3 h-index
3 publications
160 citations
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6 publications · 131 citations
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6 publications · 100 citations
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Repository · 4 publications · 183 citations
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4 publications · 126 citations
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PVLDB · 4 publications · 143 citations
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