{"id":2447,"date":"2016-01-20T12:37:13","date_gmt":"2016-01-20T12:37:13","guid":{"rendered":"http:\/\/www.iic.uam.es\/\/?page_id=2447"},"modified":"2016-02-19T13:04:11","modified_gmt":"2016-02-19T13:04:11","slug":"segmentation","status":"publish","type":"page","link":"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/segmentation\/","title":{"rendered":"Segmentation"},"content":{"rendered":"[vc_row type=&#8221;full_width_section&#8221; top_padding=&#8221;-10&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text]\n<div id=\"rev_slider_95_1_wrapper\" class=\"rev_slider_wrapper fullwidthbanner-container\" style=\"margin:0px auto;background-color:transparent;padding:0px;margin-top:0px;margin-bottom:0px;\">\n<!-- START REVOLUTION SLIDER 5.0.9 fullwidth mode -->\n\t<div id=\"rev_slider_95_1\" class=\"rev_slider fullwidthabanner\" style=\"display:none;\" data-version=\"5.0.9\">\n<ul>\t<!-- SLIDE  -->\n\t<li data-index=\"rs-136\" data-transition=\"fade\" data-slotamount=\"default\"  data-easein=\"default\" data-easeout=\"default\" data-masterspeed=\"default\"  data-rotate=\"0\"  data-saveperformance=\"off\"  data-title=\"Slide\" data-description=\"\">\n\t\t<!-- MAIN IMAGE -->\n\t\t<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.iic.uam.es\/wp-content\/uploads\/2015\/12\/Cabecera.Segmentacion.png\"  alt=\"\"  width=\"1903\" height=\"300\" data-bgposition=\"center center\" data-bgfit=\"cover\" data-bgrepeat=\"no-repeat\" class=\"rev-slidebg\" data-no-retina>\n\t\t<!-- LAYERS -->\n\n\t\t<!-- LAYER NR. 1 -->\n\t\t<div class=\"tp-caption Fashion-BigDisplay   tp-resizeme\" \n\t\t\t id=\"slide-136-layer-1\" \n\t\t\t data-x=\"center\" data-hoffset=\"-1\" \n\t\t\t data-y=\"center\" data-voffset=\"-54\" \n\t\t\t\t\t\tdata-width=\"['880']\"\n\t\t\tdata-height=\"['70']\"\n\t\t\tdata-transform_idle=\"o:1;\"\n \n\t\t\t data-transform_in=\"opacity:0;s:300;e:Power2.easeInOut;\" \n\t\t\t data-transform_out=\"opacity:0;s:300;s:300;\" \n\t\t\tdata-start=\"500\" \n\t\t\tdata-splitin=\"none\" \n\t\t\tdata-splitout=\"none\" \n\t\t\tdata-responsive_offset=\"on\" \n\n\t\t\t\n\t\t\tstyle=\"z-index: 5; 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Setting well-defined categories or establishing fixed measurements according to which <strong>classify and organise data<\/strong> may be a very complex task, despite having in mind a clear objective. \u201cI want to know my customers better\u201d is a very frequent objective, but questions related to it, such as \u201cWhat interest groups are there among my customers?\u201d, still have no simple answer.<\/p>\n[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text]\n<p style=\"text-align: justify;\"><strong>Segmentation techniques<\/strong> analyse high volumes of data and detect automatically related groups of elements, or even opposing cases that do not follow the standards. They are tools useful to:<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/3&#8243;]<div class=\"iconbox  wpb_content_element iconbox-style-5 icon-color-greyscale color-dark clearfix\"><div class=\"iconbox-icon\"><i class=\"fa fa-group boxicon\" style=\"\"><\/i><\/div><div class=\"iconbox-content\"><h3>Find related groups<\/h3><p>\n<p style=\"text-align: justify;\">Find related groups among customers within a CRM who share demographic characteristics or who share a preference for certain services or products.<\/p>\n<\/p><\/div><\/div>[\/vc_column][vc_column width=&#8221;1\/3&#8243;]<div class=\"iconbox  wpb_content_element iconbox-style-5 icon-color-greyscale color-dark clearfix\"><div class=\"iconbox-icon\"><i class=\"fa fa-shield boxicon\" style=\"\"><\/i><\/div><div class=\"iconbox-content\"><h3>Detect anomalous activities<\/h3><p>\n<p style=\"text-align: justify;\">Detect anomalous activities in information systems or networks, suspected to be intruders or illegitimate behaviour (zero-day attacks).<\/p>\n<\/p><\/div><\/div>[\/vc_column][vc_column width=&#8221;1\/3&#8243;]<div class=\"iconbox  wpb_content_element iconbox-style-5 icon-color-greyscale color-dark clearfix\"><div class=\"iconbox-icon\"><i class=\"fa fa-copy boxicon\" style=\"\"><\/i><\/div><div class=\"iconbox-content\"><h3>Group documents in sets automatically<\/h3><p>\n<p style=\"text-align: justify;\">Find out automatically different topics dealt with in large documented sources, and group documents in sets sharing similar topics.<\/p>\n<\/p><\/div><\/div>[\/vc_column][\/vc_row][vc_row bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text]\n<p style=\"text-align: center;\">As a result of applying segmentation techniques, valuable information is obtained from rough data, without the need of an expert to define previously the groups or elements needed to be detected.<\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;]<div class=\"divider divider1\" style='margin:0 !important;'><\/div>[\/vc_column][\/vc_row][vc_row bg_color=&#8221;#f7f7f7&#8243; top_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text]\n<h3 style=\"text-align: center;\"><span style=\"color: #9f1700;\">How does it work?<\/span><\/h3>\n[\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text]\n<p style=\"text-align: justify;\">Automatic Segmentation is grounded on the scientific discipline known as <strong>unsupervised machine learning<\/strong>. This transforms data into a numerical representation that allows calculating similarities between elements and detecting related groups or elements that are far more different than expected.<\/p>\n<p style=\"text-align: justify;\">A process of segmentation results in a list of <strong>related groups detected<\/strong> in the data to be later studied by the analysts of the client. Segmentation may be carried out many times, whenever data under study are updated, which allows <strong>finding out changes on the groups identified<\/strong>, such as the emergence of new interests in a database of customers, or new topics in a set of documents.<\/p>\n[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text]\n<p style=\"text-align: justify;\">As far as the service of <strong>detection of anomalies<\/strong> is concerned, the result of the segmentation process is a model of detection which can be displayed to identify anomalous data or behaviours in real time. As is the case with classification systems, the detection model generates a certainty score that indicates the degree of irregularity identified, so it would be possible to <strong>set business rules<\/strong>, for instance, to control accesses to a network and block automatically the ones showing a high score.<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;]<div class=\"divider divider1\" style='margin:0 !important;'><\/div>[\/vc_column][\/vc_row][vc_row top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_tabs][vc_tab title=&#8221;Benefits&#8221; tab_id=&#8221;cb26ae38-34a1-9&#8243;][vc_row_inner][vc_column_inner width=&#8221;2\/6&#8243;][vc_column_text]\n<h3 style=\"text-align: left;\"><span style=\"color: #9f1700;\">Benefits and value of IIC Automatic Segmentation solutions<\/span><\/h3>\n[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;4\/6&#8243;][vc_column_text]\n<p style=\"text-align: justify;\">Automatic Segmentation offers:<\/p>\n[\/vc_column_text]<div class=\"iconbox  wpb_content_element iconbox-style-5 icon-color-greyscale color-dark clearfix\"><div class=\"iconbox-icon\"><i class=\"fa sl-graduation boxicon\" style=\"\"><\/i><\/div><div class=\"iconbox-content\"><h3>A better knowledge<\/h3><p>\n<p style=\"text-align: justify;\">A better knowledge of the business data, such as the customers databases, without manual studies.<\/p>\n<\/p><\/div><\/div><div class=\"iconbox  wpb_content_element iconbox-style-5 icon-color-greyscale color-dark clearfix\"><div class=\"iconbox-icon\"><i class=\"fa sl-users boxicon\" style=\"\"><\/i><\/div><div class=\"iconbox-content\"><h3>Dynamic update<\/h3><p>\n<p style=\"text-align: justify;\">Dynamic update of the patterns outlined to detect changes on clients or on the market and be able to react quickly.<\/p>\n<\/p><\/div><\/div><div class=\"iconbox  wpb_content_element iconbox-style-5 icon-color-greyscale color-dark clearfix\"><div class=\"iconbox-icon\"><i class=\"fa sl-magnifier boxicon\" style=\"\"><\/i><\/div><div class=\"iconbox-content\"><h3>Automatic real-time detection<\/h3><p>\n<p style=\"text-align: justify;\">Automatic real-time detection of unprecedented non-typical cases or anomalies (a complement to the existing rules and systems), with the aim to prevent security or management breaches.<\/p>\n<\/p><\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_tab][vc_tab title=&#8221;Guaranteed efficiency&#8221; tab_id=&#8221;1450873552325-1-0&#8243;][vc_row_inner][vc_column_inner width=&#8221;2\/6&#8243;][vc_column_text]\n<h3 style=\"text-align: left;\"><span style=\"color: #9f1700;\">Guaranteed efficiency of IIC Automatic Segmentation solutions<\/span><\/h3>\n[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;4\/6&#8243;][vc_column_text]\n<p style=\"text-align: justify;\">Over 25 years at the IIC vouch for our experience in data projects, where high value solutions have been designed for sectors such as interest groups detection in databases of customers.<\/p>\n<p style=\"text-align: justify;\">IIC has a professional team of experts who combine their activity at the Institute with works associated to research, teaching and collaboration with universities, thus keeping up-to-date with the latest technologies. This knowledge and practical experience in the different Automatic\u00a0Segmentation techniques allows us to <strong>develop customised solutions<\/strong> which fulfil the response times and efficiency required for each individual project.<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_tab][\/vc_tabs][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#2b99cc&#8221; text_color=&#8221;light&#8221; text_align=&#8221;center&#8221; top_padding=&#8221;15&#8243; bottom_padding=&#8221;15&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_raw_html]JTNDcCUyMHN0eWxlJTNEJTIybGluZS1oZWlnaHQlM0ElMjAyOHB4JTNCJTIwZm9udC13ZWlnaHQlM0ElMjAxMDAlM0IlMjBmb250LWZhbWlseSUzQSUyME9wZW4lMjBTYW5zJTNCJTIwZm9udC1zaXplJTNBJTIwMjBweCUzQiUyMHRleHQtYWxpZ24lM0ElMjBjZW50ZXIlM0IlMjIlM0VTZWdtZW50YXRpb24lMjB0ZWNobmlxdWVzJTIwYW5hbHlzZSUyMGhpZ2glMjB2b2x1bWVzJTIwb2YlMjBkYXRhJTIwYW5kJTIwZGV0ZWN0JTIwcmVsYXRlZCUyMGdyb3VwcyUyMG9mJTIwZWxlbWVudHMlMjBvciUyMG9wcG9zaW5nJTIwY2FzZXMlMjB0aGF0JTIwZG8lMjBub3QlMjBmb2xsb3clMjB0aGUlMjBzdGFuZGFyZHMuJTNDJTJGcCUzRQ==[\/vc_raw_html][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"<p>[vc_row type=&#8221;full_width_section&#8221; top_padding=&#8221;-10&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text][\/vc_column_text][\/vc_column][\/vc_row][vc_row top_padding=&#8221;30&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text] What is Automatic Segmentation? [\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text] We are drowning in an ocean of information, and it is very common not knowing exactly what we are looking for in data. Setting well-defined categories or establishing fixed measurements according to which classify and organise data may be a very complex task, despite having in mind a clear objective. \u201cI want to know my customers better\u201d is a very frequent objective, but questions related to it, such as \u201cWhat interest groups are there among my customers?\u201d, still have no simple answer. [\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text] Segmentation techniques analyse high volumes of data and detect automatically related groups of elements, or even opposing cases that do not follow the standards. They are tools useful to: [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][\/vc_column][\/vc_row][vc_row bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text] As a result of applying segmentation techniques, valuable information is obtained from rough data, without the need of an expert to define previously the groups or elements needed to be detected. [\/vc_column_text][\/vc_column][\/vc_row][vc_row type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#f7f7f7&#8243; top_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text] How does it work? [\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text] Automatic Segmentation is grounded on the scientific discipline known as unsupervised machine learning. This transforms data into a numerical representation that allows calculating similarities [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":5582,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2447","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Segmentation - IIC<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/segmentation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Segmentation - IIC\" \/>\n<meta property=\"og:description\" content=\"[vc_row type=&#8221;full_width_section&#8221; top_padding=&#8221;-10&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text][\/vc_column_text][\/vc_column][\/vc_row][vc_row top_padding=&#8221;30&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text] What is Automatic Segmentation? [\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text] We are drowning in an ocean of information, and it is very common not knowing exactly what we are looking for in data. Setting well-defined categories or establishing fixed measurements according to which classify and organise data may be a very complex task, despite having in mind a clear objective. \u201cI want to know my customers better\u201d is a very frequent objective, but questions related to it, such as \u201cWhat interest groups are there among my customers?\u201d, still have no simple answer. [\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text] Segmentation techniques analyse high volumes of data and detect automatically related groups of elements, or even opposing cases that do not follow the standards. They are tools useful to: [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][\/vc_column][\/vc_row][vc_row bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text] As a result of applying segmentation techniques, valuable information is obtained from rough data, without the need of an expert to define previously the groups or elements needed to be detected. [\/vc_column_text][\/vc_column][\/vc_row][vc_row type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#f7f7f7&#8243; top_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text] How does it work? [\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text] Automatic Segmentation is grounded on the scientific discipline known as unsupervised machine learning. 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