Risk of fraud classification

Jesús Enrique García; Verónica Andrea González-López; Hugo Helito da Silva; Thainá Soares Silva

doi:10.1051/fopen/2020010

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Volume 3 (2020)

4open, 3 (2020) 9

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Table 7

PMM for the irregular clusters I _i, i = 7, …, 12 see equation (4) and Remark 1. In bold type the highest probability for the cluster.

I ₇					I ₈
Part	1	2	3	4	Part	1	2	3	4
11	0.357	0.000	0.245	0.398	11 41	0.548	0.000	0.250	0.202
13 23 44	0.332	0.233	0.000	0.435	13 24	0.150	0.121	0.000	0.729
14	0.200	0.425	0.000	0.375	14	0.273	0.438	0.000	0.289
21 42	0.514	0.000	0.237	0.249	21 31 42	0.595	0.000	0.095	0.311
24 34	0.255	0.302	0.000	0.444	34 44	0.397	0.108	0.000	0.495
3141	0.391	0.000	0.398	0.211
32	0.423	0.000	0.115	0.462
I ₉					I ₁₀
Part	1	2	3	4	Part	1	2	3	4
11 32 21	0.527	0.000	0.164	0.309	11 31 21	0.458	0.000	0.275	0.266
31 42					13 34 44	0.289	0.268	0.000	0.443
13 34 24	0.176	0.305	0.000	0.520	24
14 44					14	0.178	0.386	0.000	0.436
23	0.459	0.059	0.000	0.482	23	0.387	0.127	0.000	0.486
41	0.564	0.000	0.392	0.044	32 42	0.434	0.000	0.183	0.382
					41	0.439	0.000	0.362	0.198
I ₁₁					I ₁₂
Part	1	2	3	4	Part	1	2	3	4
11 31 42	0.496	0.000	0.253	0.251	11 21 32	0.523	0.000	0.167	0.311
21 32					13 23 34	0.261	0.244	0.000	0.495
13 23	0.368	0.117	0.000	0.515	14 24	0.211	0.373	0.000	0.416
14 24	0.194	0.406	0.000	0.400	31 42	0.497	0.000	0.271	0.232
34 44	0.228	0.235	0.000	0.537	41	0.391	0.000	0.390	0.219
41	0.516	0.000	0.336	0.148	44	0.332	0.336	0.000	0.332

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