Data Matching Systems
Data Matching Systems is a systematic process within tax administration information systems that identifies and links corresponding records across disparate datasets by comparing key identifiers, distinguished by its application of algorithmic and statistical techniques to detect discrepancies, redundancies, or fraudulent declarations in taxpayer information.
29
Publications
2K
Citations
113
Authors
46
Institutions
Publications per year
2017–2026
9
29
Pradap Konda, Sanjib Das, Paul Suganthan G. C. et al. · Proceedings of the VLDB Endowment · 2016 · 255 citations
Regression Analysis of Data Files that Are Computer Matched
Fritz Scheuren · 1993 · 106 citations
Pradap Konda, Sanjib Das, Paul Suganthan G. C. et al. · Proceedings of the VLDB Endowment · 2016 · 76 citations
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113
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3
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3
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46
University of Wisconsin–Madison
Madison, United States
4 h-index
38 publications
3.8K citations

Federal Reserve Bank of Kansas City
Kansas City, United States
2 h-index
3 publications
83 citations
Federal Reserve Board of Governors
Washington D.C., United States
2 h-index
7 publications
167 citations
Walmart (United States)
Bentonville, United States
2 h-index
7 publications
1.1K citations
New York University
New York, United States
2 h-index
2 publications
50 citations
National University of Singapore
Singapore, Singapore
1 h-index
1 publications
15 citations

Lund University
Lund, Sweden
1 h-index
2 publications
60 citations
Meta (United States)
Menlo Park, United States
1 h-index
1 publications
22 citations
1–8 of 46
3 publications · 81 citations
3
h-index
PVLDB · 2 publications · 331 citations
2
h-index
1 publications · 15 citations
1
h-index
Repository · 1 publications · 31 citations
1
h-index
1 publications · 24 citations
1
h-index
1–5