Suspicious Behavior Detection
Suspicious Behavior Detection is a computational framework within casino security systems that identifies anomalous or potentially fraudulent activities by analyzing behavioral patterns of individuals through surveillance data, distinguishing itself from general monitoring methods by its focus on predictive indicators of deviant conduct.
421
Publications
19K
Citations
1.3K
Authors
532
Institutions
Publications per year
2017–2026
202
Parents
421
Credit Card Fraud Detection Using Hidden Markov Model
Amit Srivastava, Anirban Kundu, Shamik Sural et al. · IEEE Transactions on Dependable and Secure Computing · 2008 · 528 citations
Computing, Computer Science, Banking +15
Alex Beutel, Wanhong Xu, Venkatesan Guruswami et al. · 2013 · 341 citations
1–5 of 421
1.3K
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1–5 of 1.3K
532
Carnegie Mellon University
Pittsburgh, United States
13 h-index
43 publications
4.6K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
24 publications
940 citations
Institute of Computing Technology
Beijing, China
8 h-index
16 publications
641 citations
Tsinghua University
Beijing, China
6 h-index
13 publications
787 citations

Queensland University of Technology
Brisbane, Australia
6 h-index
15 publications
595 citations

University of Minnesota
Minneapolis, United States
5 h-index
14 publications
323 citations
Korea University
Seoul, South Korea
5 h-index
10 publications
214 citations
Northwestern University
Evanston, United States
4 h-index
7 publications
197 citations
1–8 of 532
11 publications · 433 citations
11
h-index
Repository · 6 publications · 219 citations
7
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6 publications · 278 citations
6
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TKDE · 5 publications · 277 citations
5
h-index
5 publications · 91 citations
5
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1–5