Spending Data Analytics is a computational methodology that systematically examines financial transaction records to identify, quantify, and interpret patterns, anomalies, and efficiencies in organizational or individual expenditure behaviors.
12
Publications
623
Citations
34
Authors
25
Institutions
Publications per year
2017–2026
9
Parents
Publications
12
Predicting Spending Behavior Using Socio-mobile Features
Vivek K. Singh, Laura Freeman, Bruno Lepri et al. · 2013 · 52 citations
1–5 of 12
Authors
34
- BL
3
h-index
- SA
2
h-index
- LF
2
h-index
- VKVivek K. Singh
Rutgers, The State University of New Jersey, United States
2 publications · 66 citations
2
h-index
- AA
2
h-index
1–5 of 34
Institutions
25
Federal Reserve
Washington D.C., United States
2 h-index
14 publications
352 citations
Federal Reserve Board of Governors
Washington D.C., United States
2 h-index
14 publications
352 citations
University College London
London, United Kingdom
2 h-index
2 publications
139 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
7 publications
250 citations
Council of Independent Colleges
Washington D.C., United States
1 h-index
1 publications
25 citations
Fondazione Bruno Kessler
Trento, Italy
1 h-index
2 publications
54 citations
Wilfrid Laurier University
Waterloo, Canada
1 h-index
2 publications
258 citations
California University of Pennsylvania
California, United States
1 h-index
1 publications
122 citations
1–8 of 25
Venues
- FEDS Notes
2 publications · 48 citations
2
h-index
- The Review of Economics and Statistics
1 publications · 122 citations
1
h-index
- Psychological Science
1 publications · 112 citations
1
h-index
- Scientific Data
1 publications · 25 citations
1
h-index
- EPJ Data Science
1 publications · 27 citations
1
h-index
1–5