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 6

PMM for the irregular clusters I _i, i = 1, …, 6 see equation (4) and Remark 1. In bold type the highest probability for the cluster.

I ₁					I ₂
Part	1	2	3	4	Part	1	2	3	4
11 41	0.615	0.000	0.385	0.000	11	0.521	0.000	0.338	0.140
13	0.545	0.091	0.000	0.364	13 23	0.323	0.186	0.000	0.492
14 24 44	0.176	0.265	0.000	0.559	14 34 24	0.245	0.358	0.000	0.397
31 42 34	0.286	0.000	0.143	0.571	21 31 41	0.380	0.000	0.342	0.278
					3242	0.403	0.000	0.140	0.457
					44	0.420	0.283	0.000	0.297
I ₃					I ₄
Part	1	2	3	4	Part	1	2	3	4
11	0.212	0.000	0.300	0.488	11 42 41	0.442	0.000	0.283	0.276
13 44 14	0.243	0.181	0.000	0.576	21 31 32
21 23	0.810	0.000	0.127	0.063	13 23 44	0.398	0.162	0.000	0.439
24 34	0.352	0.521	0.000	0.127	34
31 41 42	0.433	0.000	0.369	0.197	14 24	0.134	0.429	0.000	0.437
I ₅					I ₆
Part	1	2	3	4	Part	1	2	3	4
11 21 32	0.410	0.000	0.276	0.314	11 21 32	0.457	0.000	0.164	0.379
13	0.369	0.084	0.000	0.547	31 42
14 23 24	0.240	0.319	0.000	0.441	13 44 14	0.201	0.276	0.000	0.522
44 34					23
31 41	0.508	0.000	0.364	0.128	24 34	0.451	0.234	0.000	0.315
42	0.489	0.000	0.060	0.451	41	0.388	0.000	0.454	0.158

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