{"id":115523,"date":"2014-10-04T00:00:00","date_gmt":"2014-10-04T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/exploration-of-customer-churn-routes-using-machine-learning-probabilistic-models\/"},"modified":"2014-10-04T00:00:00","modified_gmt":"2014-10-04T00:00:00","slug":"exploration-of-customer-churn-routes-using-machine-learning-probabilistic-models","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/organizacion-y-gestion-de-empresas\/exploration-of-customer-churn-routes-using-machine-learning-probabilistic-models\/","title":{"rendered":"Exploration of customer churn routes using machine learning probabilistic models"},"content":{"rendered":"<h2>Tesis doctoral de <strong> David Garc\u00eda G\u00f3mez <\/strong><\/h2>\n<p>Los procesos actuales de globalizaci\u00f3n y desregulaci\u00f3n est\u00e1n cambiando el marco competitivo en la mayor\u00eda de sectores econ\u00f3micos. La aparici\u00f3n de nuevos competidores y tecnolog\u00edas conlleva un fuerte aumento de la competencia y una preocupaci\u00f3n creciente entre las empresas proveedoras de servicios por la creaci\u00f3n de lazos m\u00e1s fuertes con los clientes. Muchas de estas empresas est\u00e1n redirigiendo recursos de la captaci\u00f3n de nuevos clientes hacia la retenci\u00f3n de los ya existentes.  en este contexto, el anticiparse a la intenci\u00f3n del cliente a abandonar al proveedor, fen\u00f3meno tambi\u00e9n conocido como \u00abchurn\u00bb, y el facilitar la puesta en marcha de acciones enfocadas a la retenci\u00f3n de clientes, son elementos claros de ventaja competitiva. la miner\u00eda de datos, aplicada a informaci\u00f3n obtenida de los mercados analizados, puede ayudar en procesos de gesti\u00f3n del \u00abchurn\u00bb. En esta tesis, analizamos datos reales de mercado para la investigaci\u00f3n del \u00abchurn\u00bb, enfatizando la aplicabilidad y la interpretaci\u00f3n de los resultados. Los an\u00e1lisis est\u00e1n basados en la aplicaci\u00f3n de modelos de \u00abstatistical machine learning\u00bb a problemas de \u00abclustering\u00bb y visualizaci\u00f3n, de los cuales se obtiene una segmentaci\u00f3n interpretable de los mercados estudiados. Para lograr tal interpretabilidad, se presta mucha atenci\u00f3n a la visualizaci\u00f3n intuitiva de los resultados experimentales. Dado que las t\u00e9cnicas de modelado utilizadas son de naturaleza no lineal, lo que representa un reto no trivial. Presentamos t\u00e9cnicas desarrolladas recientemente para la visualizaci\u00f3n de datos en modelos latentes no lineales. Estas se inspiran en m\u00e9todos de representaci\u00f3n geogr\u00e1fica y son adecuadas tanto para datos est\u00e1ticos como para la representaci\u00f3n de datos din\u00e1micos.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Exploration of customer churn routes using machine learning probabilistic models<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Exploration of customer churn routes using machine learning probabilistic models <\/li>\n<li><strong>Autor:<\/strong>\u00a0 David Garc\u00eda G\u00f3mez <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de catalunya<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 10\/04\/2014<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Mar\u00eda  \u00c1\u00a0ngela Nebot Castells<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: ricard Gavald\u00ed\u00a0 mestre <\/li>\n<li>Jos\u00e9 Antonio Gamez martin (vocal)<\/li>\n<li>fco. Javier Ses\u00e9 oliv\u00e1n (vocal)<\/li>\n<li>Jos\u00e9 david Martin guerrero (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de David Garc\u00eda G\u00f3mez Los procesos actuales de globalizaci\u00f3n y desregulaci\u00f3n est\u00e1n cambiando el marco competitivo en la [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[2207,2528,1302,15596],"tags":[179595,133925,40393,155644,30461,148966],"class_list":["post-115523","post","type-post","status-publish","format-standard","hentry","category-analisis-de-datos","category-inteligencia-artificial","category-organizacion-y-gestion-de-empresas","category-politecnica-de-catalunya","tag-david-garcia-gomez","tag-fco-javier-sese-olivan","tag-jose-antonio-gamez-martin","tag-jose-david-martin-guerrero","tag-maria-a-ngela-nebot-castells","tag-ricard-gavaldi-mestre"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/115523","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/comments?post=115523"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/115523\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=115523"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=115523"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=115523"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}