Cambios
En el instante 30 de octubre de 2025, 2:06:53 UTC,
-
Eliminadas las siguientes etiquetas de Predicción de Homicidios con Arma de Fuego Utilizando ANNs
- seguridad-pblica
- aprendizaje-automtico
- validacin-de-modelos
- correlacin-de-delitos
- secretariado-ejecutivo-del-sistema-nacional-de-seguridad-pblica
- error-de-prediccin
- prediccin-de-homicidios
- perceptrn-multicapa
- prediccin-temporal
- anlisis-espacial
- minera-de-datos
- violencia-en-mxico
- anlisis-delictivo
- mxico
-
Añadidas las siguientes etiquetas de Predicción de Homicidios con Arma de Fuego Utilizando ANNs
- seguridad-publica
- error-de-prediccion
- mineria-de-datos
- correlacion-de-delitos
- prediccion-temporal
- mexico
- prediccion-de-homicidios
- aprendizaje-automatico
- violencia-en-mexico
- 2025
- validacion-de-modelos
- analisis-espacial
- secretariado-ejecutivo-del-sistema-nacional-de-seguridad-publica
- perceptron-multicapa
- analisis-delictivo
-
Añadido campo
Año
con valor2025
a Predicción de Homicidios con Arma de Fuego Utilizando ANNs
| f | 1 | { | f | 1 | { |
| 2 | "author": "S. Ivvan Valdez Pe\u00f1a, Omar Esteban Corona Mindiola, | 2 | "author": "S. Ivvan Valdez Pe\u00f1a, Omar Esteban Corona Mindiola, | ||
| 3 | Jorge Paredes Tavares", | 3 | Jorge Paredes Tavares", | ||
| 4 | "author_email": null, | 4 | "author_email": null, | ||
| 5 | "creator_user_id": "a3da3ec9-3fd4-47a4-8d04-0a90b09614e0", | 5 | "creator_user_id": "a3da3ec9-3fd4-47a4-8d04-0a90b09614e0", | ||
| 6 | "extras": [ | 6 | "extras": [ | ||
| 7 | { | 7 | { | ||
| n | n | 8 | "key": "A\u00f1o", | ||
| 9 | "value": "2025" | ||||
| 10 | }, | ||||
| 11 | { | ||||
| 8 | "key": "Identificador hash", | 12 | "key": "Identificador hash", | ||
| 9 | "value": "a8c892575c92" | 13 | "value": "a8c892575c92" | ||
| 10 | }, | 14 | }, | ||
| 11 | { | 15 | { | ||
| 12 | "key": "Instituciones", | 16 | "key": "Instituciones", | ||
| 13 | "value": "SECIHTI-CentroGeo, Universidad de Guadalajara" | 17 | "value": "SECIHTI-CentroGeo, Universidad de Guadalajara" | ||
| 14 | }, | 18 | }, | ||
| 15 | { | 19 | { | ||
| 16 | "key": "Tipo", | 20 | "key": "Tipo", | ||
| 17 | "value": "Art\u00edculo en l\u00ednea" | 21 | "value": "Art\u00edculo en l\u00ednea" | ||
| 18 | }, | 22 | }, | ||
| 19 | { | 23 | { | ||
| 20 | "key": "URL", | 24 | "key": "URL", | ||
| 21 | "value": | 25 | "value": | ||
| 22 | riogeo.mx/prediccion-de-homicidios-con-arma-de-fuego-utilizando-anns/" | 26 | riogeo.mx/prediccion-de-homicidios-con-arma-de-fuego-utilizando-anns/" | ||
| 23 | } | 27 | } | ||
| 24 | ], | 28 | ], | ||
| 25 | "groups": [ | 29 | "groups": [ | ||
| 26 | { | 30 | { | ||
| n | 27 | "description": "", | n | 31 | "description": "Este grupo re\u00fane los art\u00edculos de |
| 32 | divulgaci\u00f3n publicados por el Observatorio Metropolitano del | ||||
| 33 | CentroGeo. Cada art\u00edculo presenta, en un lenguaje accesible y con | ||||
| 34 | enfoque metropolitano, los principales hallazgos, metodolog\u00edas y | ||||
| 35 | aplicaciones de los proyectos de investigaci\u00f3n desarrollados por | ||||
| 36 | el observatorio. Los contenidos est\u00e1n hospedados en el portal web | ||||
| 37 | del Observatorio Metropolitano y buscan acercar el conocimiento | ||||
| 38 | cient\u00edfico y t\u00e9cnico a la sociedad, fomentando la | ||||
| 39 | comprensi\u00f3n de los fen\u00f3menos urbanos y territoriales desde | ||||
| 40 | una perspectiva interdisciplinaria.", | ||||
| 28 | "display_name": "Art\u00edculos en l\u00ednea", | 41 | "display_name": "Art\u00edculos en l\u00ednea", | ||
| 29 | "id": "8659310a-f66e-46e8-b1e5-3d7e04acd171", | 42 | "id": "8659310a-f66e-46e8-b1e5-3d7e04acd171", | ||
| 30 | "image_display_url": "", | 43 | "image_display_url": "", | ||
| 31 | "name": "articulos-en-linea", | 44 | "name": "articulos-en-linea", | ||
| 32 | "title": "Art\u00edculos en l\u00ednea" | 45 | "title": "Art\u00edculos en l\u00ednea" | ||
| 33 | } | 46 | } | ||
| 34 | ], | 47 | ], | ||
| 35 | "id": "2583407e-4218-410d-8759-7ef9e2eb6aaf", | 48 | "id": "2583407e-4218-410d-8759-7ef9e2eb6aaf", | ||
| 36 | "isopen": false, | 49 | "isopen": false, | ||
| 37 | "license_id": null, | 50 | "license_id": null, | ||
| 38 | "license_title": null, | 51 | "license_title": null, | ||
| 39 | "maintainer": null, | 52 | "maintainer": null, | ||
| 40 | "maintainer_email": null, | 53 | "maintainer_email": null, | ||
| 41 | "metadata_created": "2025-10-24T00:46:42.995190", | 54 | "metadata_created": "2025-10-24T00:46:42.995190", | ||
| n | 42 | "metadata_modified": "2025-10-24T00:46:43.717649", | n | 55 | "metadata_modified": "2025-10-30T02:06:53.532108", |
| 43 | "name": "a8c892575c92", | 56 | "name": "a8c892575c92", | ||
| 44 | "notes": "En este reporte se utiliza una red neuronal artificial de | 57 | "notes": "En este reporte se utiliza una red neuronal artificial de | ||
| 45 | perceptr\u00f3n multicapa para predecir los homicidios por arma de | 58 | perceptr\u00f3n multicapa para predecir los homicidios por arma de | ||
| 46 | fuego en los 50 municipios m\u00e1s violentos de M\u00e9xico, usando | 59 | fuego en los 50 municipios m\u00e1s violentos de M\u00e9xico, usando | ||
| 47 | 17 delitos de la base de datos del Secretariado Ejecutivo como | 60 | 17 delitos de la base de datos del Secretariado Ejecutivo como | ||
| 48 | predictores, encontrados mediante la correlaci\u00f3n que tienen con | 61 | predictores, encontrados mediante la correlaci\u00f3n que tienen con | ||
| 49 | el delito principal (homicidios). Se logr\u00f3 estimar el n\u00famero | 62 | el delito principal (homicidios). Se logr\u00f3 estimar el n\u00famero | ||
| 50 | de homicidios en los \u00faltimos 4 meses disponibles con un error | 63 | de homicidios en los \u00faltimos 4 meses disponibles con un error | ||
| 51 | m\u00e1ximo de 25%.", | 64 | m\u00e1ximo de 25%.", | ||
| 52 | "num_resources": 1, | 65 | "num_resources": 1, | ||
| n | 53 | "num_tags": 28, | n | 66 | "num_tags": 29, |
| 54 | "organization": { | 67 | "organization": { | ||
| 55 | "approval_status": "approved", | 68 | "approval_status": "approved", | ||
| 56 | "created": "2022-05-19T00:10:30.480393", | 69 | "created": "2022-05-19T00:10:30.480393", | ||
| 57 | "description": "Observatorio Metropolitano CentroGeo", | 70 | "description": "Observatorio Metropolitano CentroGeo", | ||
| 58 | "id": "b3b3a79d-748a-4464-9471-732b6c74ec53", | 71 | "id": "b3b3a79d-748a-4464-9471-732b6c74ec53", | ||
| 59 | "image_url": | 72 | "image_url": | ||
| 60 | "2022-05-19-001030.456616FullColor1280x1024LogoOnly.png", | 73 | "2022-05-19-001030.456616FullColor1280x1024LogoOnly.png", | ||
| 61 | "is_organization": true, | 74 | "is_organization": true, | ||
| 62 | "name": "observatorio-metropolitano-centrogeo", | 75 | "name": "observatorio-metropolitano-centrogeo", | ||
| 63 | "state": "active", | 76 | "state": "active", | ||
| 64 | "title": "Observatorio Metropolitano CentroGeo", | 77 | "title": "Observatorio Metropolitano CentroGeo", | ||
| 65 | "type": "organization" | 78 | "type": "organization" | ||
| 66 | }, | 79 | }, | ||
| 67 | "owner_org": "b3b3a79d-748a-4464-9471-732b6c74ec53", | 80 | "owner_org": "b3b3a79d-748a-4464-9471-732b6c74ec53", | ||
| 68 | "private": false, | 81 | "private": false, | ||
| 69 | "relationships_as_object": [], | 82 | "relationships_as_object": [], | ||
| 70 | "relationships_as_subject": [], | 83 | "relationships_as_subject": [], | ||
| 71 | "resources": [ | 84 | "resources": [ | ||
| 72 | { | 85 | { | ||
| 73 | "cache_last_updated": null, | 86 | "cache_last_updated": null, | ||
| 74 | "cache_url": null, | 87 | "cache_url": null, | ||
| 75 | "created": "2025-10-24T00:46:43.795561", | 88 | "created": "2025-10-24T00:46:43.795561", | ||
| 76 | "datastore_active": false, | 89 | "datastore_active": false, | ||
| 77 | "description": "En este reporte se utiliza una red neuronal | 90 | "description": "En este reporte se utiliza una red neuronal | ||
| 78 | artificial de perceptr\u00f3n multicapa para predecir los homicidios | 91 | artificial de perceptr\u00f3n multicapa para predecir los homicidios | ||
| 79 | por arma de fuego en los 50 municipios m\u00e1s violentos de | 92 | por arma de fuego en los 50 municipios m\u00e1s violentos de | ||
| 80 | M\u00e9xico, usando 17 delitos de la base de datos del Secretariado | 93 | M\u00e9xico, usando 17 delitos de la base de datos del Secretariado | ||
| 81 | Ejecutivo como predictores, encontrados mediante la correlaci\u00f3n | 94 | Ejecutivo como predictores, encontrados mediante la correlaci\u00f3n | ||
| 82 | que tienen con el delito principal (homicidios). Se logr\u00f3 estimar | 95 | que tienen con el delito principal (homicidios). Se logr\u00f3 estimar | ||
| 83 | el n\u00famero de homicidios en los \u00faltimos 4 meses disponibles | 96 | el n\u00famero de homicidios en los \u00faltimos 4 meses disponibles | ||
| 84 | con un error m\u00e1ximo de 25%.", | 97 | con un error m\u00e1ximo de 25%.", | ||
| 85 | "format": "HTML", | 98 | "format": "HTML", | ||
| 86 | "hash": "", | 99 | "hash": "", | ||
| 87 | "id": "2e2aeb43-527c-4945-8c4b-aa0ea3720578", | 100 | "id": "2e2aeb43-527c-4945-8c4b-aa0ea3720578", | ||
| 88 | "last_modified": null, | 101 | "last_modified": null, | ||
| n | 89 | "metadata_modified": "2025-10-24T00:46:43.723895", | n | 102 | "metadata_modified": "2025-10-30T02:06:53.536769", |
| 90 | "mimetype": null, | 103 | "mimetype": null, | ||
| 91 | "mimetype_inner": null, | 104 | "mimetype_inner": null, | ||
| 92 | "name": "Predicci\u00f3n de Homicidios con Arma de Fuego | 105 | "name": "Predicci\u00f3n de Homicidios con Arma de Fuego | ||
| 93 | Utilizando ANNs", | 106 | Utilizando ANNs", | ||
| 94 | "package_id": "2583407e-4218-410d-8759-7ef9e2eb6aaf", | 107 | "package_id": "2583407e-4218-410d-8759-7ef9e2eb6aaf", | ||
| 95 | "position": 0, | 108 | "position": 0, | ||
| 96 | "resource_type": null, | 109 | "resource_type": null, | ||
| 97 | "size": null, | 110 | "size": null, | ||
| 98 | "state": "active", | 111 | "state": "active", | ||
| 99 | "url": | 112 | "url": | ||
| 100 | iogeo.mx/prediccion-de-homicidios-con-arma-de-fuego-utilizando-anns/", | 113 | iogeo.mx/prediccion-de-homicidios-con-arma-de-fuego-utilizando-anns/", | ||
| 101 | "url_type": null | 114 | "url_type": null | ||
| 102 | } | 115 | } | ||
| 103 | ], | 116 | ], | ||
| 104 | "state": "active", | 117 | "state": "active", | ||
| 105 | "tags": [ | 118 | "tags": [ | ||
| 106 | { | 119 | { | ||
| n | n | 120 | "display_name": "2025", | ||
| 121 | "id": "61321a03-ac7d-45bd-b420-27e6d90d1e48", | ||||
| 122 | "name": "2025", | ||||
| 123 | "state": "active", | ||||
| 124 | "vocabulary_id": null | ||||
| 125 | }, | ||||
| 126 | { | ||||
| 107 | "display_name": "anlisis-delictivo", | 127 | "display_name": "analisis-delictivo", | ||
| 108 | "id": "c4858272-5887-4e37-9425-5fff78a6de89", | 128 | "id": "5677df13-d883-4cf4-ad05-f913f9152ab4", | ||
| 109 | "name": "anlisis-delictivo", | 129 | "name": "analisis-delictivo", | ||
| 110 | "state": "active", | 130 | "state": "active", | ||
| 111 | "vocabulary_id": null | 131 | "vocabulary_id": null | ||
| 112 | }, | 132 | }, | ||
| 113 | { | 133 | { | ||
| n | 114 | "display_name": "anlisis-espacial", | n | 134 | "display_name": "analisis-espacial", |
| 115 | "id": "9475ae75-56ae-4656-a6a3-84c7444756f6", | 135 | "id": "1461860c-e760-49f3-bcae-5409dbba269d", | ||
| 116 | "name": "anlisis-espacial", | 136 | "name": "analisis-espacial", | ||
| 117 | "state": "active", | 137 | "state": "active", | ||
| 118 | "vocabulary_id": null | 138 | "vocabulary_id": null | ||
| 119 | }, | 139 | }, | ||
| 120 | { | 140 | { | ||
| n | 121 | "display_name": "aprendizaje-automtico", | n | 141 | "display_name": "aprendizaje-automatico", |
| 122 | "id": "afa7293e-8d57-46ae-b963-5b051eaea287", | 142 | "id": "3bdbc672-9821-4f01-93a4-f3afea49676e", | ||
| 123 | "name": "aprendizaje-automtico", | 143 | "name": "aprendizaje-automatico", | ||
| 124 | "state": "active", | 144 | "state": "active", | ||
| 125 | "vocabulary_id": null | 145 | "vocabulary_id": null | ||
| 126 | }, | 146 | }, | ||
| 127 | { | 147 | { | ||
| 128 | "display_name": "clustering-k-means", | 148 | "display_name": "clustering-k-means", | ||
| 129 | "id": "ccdec318-ee1f-44ff-9113-39d7253f969b", | 149 | "id": "ccdec318-ee1f-44ff-9113-39d7253f969b", | ||
| 130 | "name": "clustering-k-means", | 150 | "name": "clustering-k-means", | ||
| 131 | "state": "active", | 151 | "state": "active", | ||
| 132 | "vocabulary_id": null | 152 | "vocabulary_id": null | ||
| 133 | }, | 153 | }, | ||
| 134 | { | 154 | { | ||
| n | 135 | "display_name": "correlacin-de-delitos", | n | 155 | "display_name": "correlacion-de-delitos", |
| 136 | "id": "174b2555-8ec1-47df-b8ca-51a676be828a", | 156 | "id": "378bfec0-41e0-4845-92ae-4741726260f1", | ||
| 137 | "name": "correlacin-de-delitos", | 157 | "name": "correlacion-de-delitos", | ||
| 138 | "state": "active", | 158 | "state": "active", | ||
| 139 | "vocabulary_id": null | 159 | "vocabulary_id": null | ||
| 140 | }, | 160 | }, | ||
| 141 | { | 161 | { | ||
| 142 | "display_name": "covid-19", | 162 | "display_name": "covid-19", | ||
| 143 | "id": "ca4454a3-e5bb-406c-9396-1d5c50ad6b88", | 163 | "id": "ca4454a3-e5bb-406c-9396-1d5c50ad6b88", | ||
| 144 | "name": "covid-19", | 164 | "name": "covid-19", | ||
| 145 | "state": "active", | 165 | "state": "active", | ||
| 146 | "vocabulary_id": null | 166 | "vocabulary_id": null | ||
| 147 | }, | 167 | }, | ||
| 148 | { | 168 | { | ||
| 149 | "display_name": "datos-abiertos", | 169 | "display_name": "datos-abiertos", | ||
| 150 | "id": "43295095-7630-4691-8c29-b16f370354d6", | 170 | "id": "43295095-7630-4691-8c29-b16f370354d6", | ||
| 151 | "name": "datos-abiertos", | 171 | "name": "datos-abiertos", | ||
| 152 | "state": "active", | 172 | "state": "active", | ||
| 153 | "vocabulary_id": null | 173 | "vocabulary_id": null | ||
| 154 | }, | 174 | }, | ||
| 155 | { | 175 | { | ||
| 156 | "display_name": "datos-municipales", | 176 | "display_name": "datos-municipales", | ||
| 157 | "id": "301dccf9-5922-403a-a780-8ee7a253d506", | 177 | "id": "301dccf9-5922-403a-a780-8ee7a253d506", | ||
| 158 | "name": "datos-municipales", | 178 | "name": "datos-municipales", | ||
| 159 | "state": "active", | 179 | "state": "active", | ||
| 160 | "vocabulary_id": null | 180 | "vocabulary_id": null | ||
| 161 | }, | 181 | }, | ||
| 162 | { | 182 | { | ||
| 163 | "display_name": "entrenamiento-supervisado", | 183 | "display_name": "entrenamiento-supervisado", | ||
| 164 | "id": "1fabb754-980e-4019-9da1-8cbe4d82f293", | 184 | "id": "1fabb754-980e-4019-9da1-8cbe4d82f293", | ||
| 165 | "name": "entrenamiento-supervisado", | 185 | "name": "entrenamiento-supervisado", | ||
| 166 | "state": "active", | 186 | "state": "active", | ||
| 167 | "vocabulary_id": null | 187 | "vocabulary_id": null | ||
| 168 | }, | 188 | }, | ||
| 169 | { | 189 | { | ||
| n | 170 | "display_name": "error-de-prediccin", | n | 190 | "display_name": "error-de-prediccion", |
| 171 | "id": "0ff792a0-22c4-4ec1-8fbb-c91940b55f32", | 191 | "id": "3837a467-a471-463f-8eba-076d15384b12", | ||
| 172 | "name": "error-de-prediccin", | 192 | "name": "error-de-prediccion", | ||
| 173 | "state": "active", | 193 | "state": "active", | ||
| 174 | "vocabulary_id": null | 194 | "vocabulary_id": null | ||
| 175 | }, | 195 | }, | ||
| 176 | { | 196 | { | ||
| 177 | "display_name": "homicidios-con-arma-de-fuego", | 197 | "display_name": "homicidios-con-arma-de-fuego", | ||
| 178 | "id": "93ccdfc9-3172-44d8-92b2-375d8a3d9e3a", | 198 | "id": "93ccdfc9-3172-44d8-92b2-375d8a3d9e3a", | ||
| 179 | "name": "homicidios-con-arma-de-fuego", | 199 | "name": "homicidios-con-arma-de-fuego", | ||
| 180 | "state": "active", | 200 | "state": "active", | ||
| 181 | "vocabulary_id": null | 201 | "vocabulary_id": null | ||
| 182 | }, | 202 | }, | ||
| 183 | { | 203 | { | ||
| 184 | "display_name": "impacto-de-la-pandemia", | 204 | "display_name": "impacto-de-la-pandemia", | ||
| 185 | "id": "2ef5a86a-8cbb-46fa-b184-fcc747db9519", | 205 | "id": "2ef5a86a-8cbb-46fa-b184-fcc747db9519", | ||
| 186 | "name": "impacto-de-la-pandemia", | 206 | "name": "impacto-de-la-pandemia", | ||
| 187 | "state": "active", | 207 | "state": "active", | ||
| 188 | "vocabulary_id": null | 208 | "vocabulary_id": null | ||
| 189 | }, | 209 | }, | ||
| 190 | { | 210 | { | ||
| 191 | "display_name": "inteligencia-artificial", | 211 | "display_name": "inteligencia-artificial", | ||
| 192 | "id": "77af2445-0e8a-40c2-bb38-f28434e2257b", | 212 | "id": "77af2445-0e8a-40c2-bb38-f28434e2257b", | ||
| 193 | "name": "inteligencia-artificial", | 213 | "name": "inteligencia-artificial", | ||
| 194 | "state": "active", | 214 | "state": "active", | ||
| 195 | "vocabulary_id": null | 215 | "vocabulary_id": null | ||
| 196 | }, | 216 | }, | ||
| 197 | { | 217 | { | ||
| 198 | "display_name": "jparedes", | 218 | "display_name": "jparedes", | ||
| 199 | "id": "45de6aed-42af-4ad7-8cc0-166ea484921e", | 219 | "id": "45de6aed-42af-4ad7-8cc0-166ea484921e", | ||
| 200 | "name": "jparedes", | 220 | "name": "jparedes", | ||
| 201 | "state": "active", | 221 | "state": "active", | ||
| 202 | "vocabulary_id": null | 222 | "vocabulary_id": null | ||
| 203 | }, | 223 | }, | ||
| 204 | { | 224 | { | ||
| n | n | 225 | "display_name": "mexico", | ||
| 226 | "id": "913563c5-3f76-4869-ba30-05eff20c41f8", | ||||
| 227 | "name": "mexico", | ||||
| 228 | "state": "active", | ||||
| 229 | "vocabulary_id": null | ||||
| 230 | }, | ||||
| 231 | { | ||||
| 205 | "display_name": "minera-de-datos", | 232 | "display_name": "mineria-de-datos", | ||
| 206 | "id": "a0236e8f-ee19-427a-bd09-0fe2a38a9ccd", | 233 | "id": "3ef588c6-e421-4dcc-ac74-79b5a58a7bb7", | ||
| 207 | "name": "minera-de-datos", | 234 | "name": "mineria-de-datos", | ||
| 208 | "state": "active", | 235 | "state": "active", | ||
| 209 | "vocabulary_id": null | 236 | "vocabulary_id": null | ||
| 210 | }, | 237 | }, | ||
| 211 | { | 238 | { | ||
| 212 | "display_name": "modelado-predictivo", | 239 | "display_name": "modelado-predictivo", | ||
| 213 | "id": "38a9b165-488c-4bf7-b0df-a466f5d38683", | 240 | "id": "38a9b165-488c-4bf7-b0df-a466f5d38683", | ||
| 214 | "name": "modelado-predictivo", | 241 | "name": "modelado-predictivo", | ||
| 215 | "state": "active", | 242 | "state": "active", | ||
| 216 | "vocabulary_id": null | 243 | "vocabulary_id": null | ||
| 217 | }, | 244 | }, | ||
| 218 | { | 245 | { | ||
| 219 | "display_name": "municipios-violentos", | 246 | "display_name": "municipios-violentos", | ||
| 220 | "id": "7d9d2bc9-1875-4d93-8c7f-90959349c21f", | 247 | "id": "7d9d2bc9-1875-4d93-8c7f-90959349c21f", | ||
| 221 | "name": "municipios-violentos", | 248 | "name": "municipios-violentos", | ||
| 222 | "state": "active", | 249 | "state": "active", | ||
| 223 | "vocabulary_id": null | 250 | "vocabulary_id": null | ||
| 224 | }, | 251 | }, | ||
| 225 | { | 252 | { | ||
| n | 226 | "display_name": "mxico", | n | ||
| 227 | "id": "2b9cf2e8-e723-48af-aee0-cc6a315658d7", | ||||
| 228 | "name": "mxico", | ||||
| 229 | "state": "active", | ||||
| 230 | "vocabulary_id": null | ||||
| 231 | }, | ||||
| 232 | { | ||||
| 233 | "display_name": "patrones-delictivos", | 253 | "display_name": "patrones-delictivos", | ||
| 234 | "id": "9ea120d7-44f9-426e-82c5-7eda5d4bc74b", | 254 | "id": "9ea120d7-44f9-426e-82c5-7eda5d4bc74b", | ||
| 235 | "name": "patrones-delictivos", | 255 | "name": "patrones-delictivos", | ||
| 236 | "state": "active", | 256 | "state": "active", | ||
| 237 | "vocabulary_id": null | 257 | "vocabulary_id": null | ||
| 238 | }, | 258 | }, | ||
| 239 | { | 259 | { | ||
| n | 240 | "display_name": "perceptrn-multicapa", | n | 260 | "display_name": "perceptron-multicapa", |
| 241 | "id": "4b967702-18d4-4bfc-9f25-bd7140db7857", | 261 | "id": "19ef4b44-20dc-4a03-aa95-e4ddc4ffb1b3", | ||
| 242 | "name": "perceptrn-multicapa", | 262 | "name": "perceptron-multicapa", | ||
| 243 | "state": "active", | 263 | "state": "active", | ||
| 244 | "vocabulary_id": null | 264 | "vocabulary_id": null | ||
| 245 | }, | 265 | }, | ||
| 246 | { | 266 | { | ||
| n | 247 | "display_name": "prediccin-de-homicidios", | n | 267 | "display_name": "prediccion-de-homicidios", |
| 248 | "id": "35e48640-3cf9-4d4b-9c58-cd7c1ba7425c", | 268 | "id": "e4c44cc5-2f2c-4055-a414-24174dbd13fc", | ||
| 249 | "name": "prediccin-de-homicidios", | 269 | "name": "prediccion-de-homicidios", | ||
| 250 | "state": "active", | 270 | "state": "active", | ||
| 251 | "vocabulary_id": null | 271 | "vocabulary_id": null | ||
| 252 | }, | 272 | }, | ||
| 253 | { | 273 | { | ||
| n | 254 | "display_name": "prediccin-temporal", | n | 274 | "display_name": "prediccion-temporal", |
| 255 | "id": "796c5ef3-43d3-4090-a598-aa82fce0c0f8", | 275 | "id": "dcad9839-c20d-4939-bd3c-b4762ae4df53", | ||
| 256 | "name": "prediccin-temporal", | 276 | "name": "prediccion-temporal", | ||
| 257 | "state": "active", | 277 | "state": "active", | ||
| 258 | "vocabulary_id": null | 278 | "vocabulary_id": null | ||
| 259 | }, | 279 | }, | ||
| 260 | { | 280 | { | ||
| 261 | "display_name": "redes-neuronales-artificiales", | 281 | "display_name": "redes-neuronales-artificiales", | ||
| 262 | "id": "7ace81a9-29b7-431c-bd26-442ba197568a", | 282 | "id": "7ace81a9-29b7-431c-bd26-442ba197568a", | ||
| 263 | "name": "redes-neuronales-artificiales", | 283 | "name": "redes-neuronales-artificiales", | ||
| 264 | "state": "active", | 284 | "state": "active", | ||
| 265 | "vocabulary_id": null | 285 | "vocabulary_id": null | ||
| 266 | }, | 286 | }, | ||
| 267 | { | 287 | { | ||
| 268 | "display_name": | 288 | "display_name": | ||
| n | 269 | "secretariado-ejecutivo-del-sistema-nacional-de-seguridad-pblica", | n | 289 | "secretariado-ejecutivo-del-sistema-nacional-de-seguridad-publica", |
| 270 | "id": "3599b6ad-236a-41c7-a316-555a82105049", | 290 | "id": "6b940433-a201-4f08-886c-509095ed75c1", | ||
| 271 | "name": | 291 | "name": | ||
| n | 272 | "secretariado-ejecutivo-del-sistema-nacional-de-seguridad-pblica", | n | 292 | "secretariado-ejecutivo-del-sistema-nacional-de-seguridad-publica", |
| 273 | "state": "active", | 293 | "state": "active", | ||
| 274 | "vocabulary_id": null | 294 | "vocabulary_id": null | ||
| 275 | }, | 295 | }, | ||
| 276 | { | 296 | { | ||
| n | 277 | "display_name": "seguridad-pblica", | n | 297 | "display_name": "seguridad-publica", |
| 278 | "id": "bef7fd1f-8b82-46fb-8bee-b7c39127ac9c", | 298 | "id": "e3fc7080-36ee-4051-9d61-aed3c2818d0f", | ||
| 279 | "name": "seguridad-pblica", | 299 | "name": "seguridad-publica", | ||
| 280 | "state": "active", | 300 | "state": "active", | ||
| 281 | "vocabulary_id": null | 301 | "vocabulary_id": null | ||
| 282 | }, | 302 | }, | ||
| 283 | { | 303 | { | ||
| 284 | "display_name": "svaldez", | 304 | "display_name": "svaldez", | ||
| 285 | "id": "f42a8210-1cef-4f03-98a0-a6d3d0d4f848", | 305 | "id": "f42a8210-1cef-4f03-98a0-a6d3d0d4f848", | ||
| 286 | "name": "svaldez", | 306 | "name": "svaldez", | ||
| 287 | "state": "active", | 307 | "state": "active", | ||
| 288 | "vocabulary_id": null | 308 | "vocabulary_id": null | ||
| 289 | }, | 309 | }, | ||
| 290 | { | 310 | { | ||
| n | 291 | "display_name": "validacin-de-modelos", | n | 311 | "display_name": "validacion-de-modelos", |
| 292 | "id": "9e78a36c-8d31-4ce2-a2b3-2db67dd590e9", | 312 | "id": "fcc9c5e1-5647-4e74-9657-11e42d5a9e3a", | ||
| 293 | "name": "validacin-de-modelos", | 313 | "name": "validacion-de-modelos", | ||
| 294 | "state": "active", | 314 | "state": "active", | ||
| 295 | "vocabulary_id": null | 315 | "vocabulary_id": null | ||
| 296 | }, | 316 | }, | ||
| 297 | { | 317 | { | ||
| t | 298 | "display_name": "violencia-en-mxico", | t | 318 | "display_name": "violencia-en-mexico", |
| 299 | "id": "d49aea06-7f8e-426e-afaa-41a012b8ef09", | 319 | "id": "b304318f-d99b-4d60-a35e-fb236f94f82c", | ||
| 300 | "name": "violencia-en-mxico", | 320 | "name": "violencia-en-mexico", | ||
| 301 | "state": "active", | 321 | "state": "active", | ||
| 302 | "vocabulary_id": null | 322 | "vocabulary_id": null | ||
| 303 | } | 323 | } | ||
| 304 | ], | 324 | ], | ||
| 305 | "title": "Predicci\u00f3n de Homicidios con Arma de Fuego Utilizando | 325 | "title": "Predicci\u00f3n de Homicidios con Arma de Fuego Utilizando | ||
| 306 | ANNs", | 326 | ANNs", | ||
| 307 | "type": "dataset", | 327 | "type": "dataset", | ||
| 308 | "url": | 328 | "url": | ||
| 309 | iogeo.mx/prediccion-de-homicidios-con-arma-de-fuego-utilizando-anns/", | 329 | iogeo.mx/prediccion-de-homicidios-con-arma-de-fuego-utilizando-anns/", | ||
| 310 | "version": null | 330 | "version": null | ||
| 311 | } | 331 | } |
