{"id":2453,"date":"2016-01-20T12:46:06","date_gmt":"2016-01-20T12:46:06","guid":{"rendered":"http:\/\/www.iic.uam.es\/\/?page_id=2453"},"modified":"2016-02-19T12:59:48","modified_gmt":"2016-02-19T12:59:48","slug":"prediction","status":"publish","type":"page","link":"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/","title":{"rendered":"Prediction"},"content":{"rendered":"[vc_row type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;][vc_column_text]\n<div id=\"rev_slider_96_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_96_1\" class=\"rev_slider fullwidthabanner\" style=\"display:none;\" data-version=\"5.0.9\">\n<ul>\t<!-- SLIDE  -->\n\t<li data-index=\"rs-137\" 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_Prediccion.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-137-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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font-weight: 100; color: rgba(255, 255, 255, 1.00);font-family:OPEN SANS;text-align:center;\">Prediction techniques give us estimations on unknown variables, contributing to a better planning of the business. \n\t\t<\/div>\n\t<\/li>\n<\/ul>\n<div class=\"tp-bannertimer tp-bottom\" style=\"visibility: hidden !important;\"><\/div>\t<\/div>\n<script>var htmlDiv = document.getElementById(\"rs-plugin-settings-inline-css\"); var htmlDivCss=\".tp-caption.Fashion-BigDisplay,.Fashion-BigDisplay{color:rgba(0,0,0,1.00);font-size:60px;line-height:60px;font-weight:900;font-style:normal;font-family:Raleway;padding:0px 0px 0px 0px;text-decoration:none;background-color:transparent;border-color:transparent;border-style:none;border-width:0px;border-radius:0px 0px 0px 0px;letter-spacing:2px}\";\r\n\t\t\t\tif(htmlDiv) {\r\n\t\t\t\t\thtmlDiv.innerHTML = htmlDiv.innerHTML + htmlDivCss;\r\n\t\t\t\t}\r\n\t\t\t\telse{\r\n\t\t\t\t\tvar htmlDiv = document.createElement(\"div\");\r\n\t\t\t\t\thtmlDiv.innerHTML = \"<style>\" + htmlDivCss + \"<\/style>\";\r\n\t\t\t\t\tdocument.getElementsByTagName(\"head\")[0].appendChild(htmlDiv.childNodes[0]);\r\n\t\t\t\t}\r\n\t\t\t<\/script>\n\t\t<script type=\"text\/javascript\">\r\n\t\t\t\t\t\t\/******************************************\r\n\t\t\t\t-\tPREPARE PLACEHOLDER FOR SLIDER\t-\r\n\t\t\t******************************************\/\r\n\r\n\t\t\tvar setREVStartSize=function(){\r\n\t\t\t\ttry{var e=new Object,i=jQuery(window).width(),t=9999,r=0,n=0,l=0,f=0,s=0,h=0;\r\n\t\t\t\t\te.c = jQuery('#rev_slider_96_1');\r\n\t\t\t\t\te.gridwidth = [1240];\r\n\t\t\t\t\te.gridheight = [300];\r\n\t\t\t\t\t\t\t\r\n\t\t\t\t\te.sliderLayout = \"fullwidth\";\r\n\t\t\t\t\tif(e.responsiveLevels&&(jQuery.each(e.responsiveLevels,function(e,f){f>i&&(t=r=f,l=e),i>f&&f>r&&(r=f,n=e)}),t>r&&(l=n)),f=e.gridheight[l]||e.gridheight[0]||e.gridheight,s=e.gridwidth[l]||e.gridwidth[0]||e.gridwidth,h=i\/s,h=h>1?1:h,f=Math.round(h*f),\"fullscreen\"==e.sliderLayout){var u=(e.c.width(),jQuery(window).height());if(void 0!=e.fullScreenOffsetContainer){var c=e.fullScreenOffsetContainer.split(\",\");if (c) jQuery.each(c,function(e,i){u=jQuery(i).length>0?u-jQuery(i).outerHeight(!0):u}),e.fullScreenOffset.split(\"%\").length>1&&void 0!=e.fullScreenOffset&&e.fullScreenOffset.length>0?u-=jQuery(window).height()*parseInt(e.fullScreenOffset,0)\/100:void 0!=e.fullScreenOffset&&e.fullScreenOffset.length>0&&(u-=parseInt(e.fullScreenOffset,0))}f=u}else void 0!=e.minHeight&&f<e.minHeight&&(f=e.minHeight);e.c.closest(\".rev_slider_wrapper\").css({height:f})\r\n\t\t\t\t}catch(d){console.log(\"Failure at Presize of Slider:\"+d)}\r\n\t\t\t};\r\n\t\t\t\t\t\t\r\n\t\t\t\t\r\n\t\t\tsetREVStartSize();\r\n\t\t\tfunction revslider_showDoubleJqueryError(sliderID) {\r\n\t\t\t\t\tvar errorMessage = \"Revolution Slider Error: You have some jquery.js library include that comes after the revolution files js include.\";\r\n\t\t\t\t\terrorMessage += \"<br> This includes make eliminates the revolution slider libraries, and make it not work.\";\r\n\t\t\t\t\terrorMessage += \"<br><br> To fix it you can:<br>&nbsp;&nbsp;&nbsp; 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The aim of Prediction Techniques is to minimise these uncertainties, generating useful forecasts to:<\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#ffffff&#8221; top_padding=&#8221;30&#8243; bottom_padding=&#8221;20&#8243;][vc_column width=&#8221;1\/3&#8243; delay=&#8221;500&#8243;]<div class=\"iconbox  wpb_content_element iconbox-style-5 icon-color-greyscale color-dark clearfix\"><div class=\"iconbox-icon\"><i class=\"fa fa-shopping-cart boxicon\" style=\"\"><\/i><\/div><div class=\"iconbox-content\"><h3>Anticipate customer demand<\/h3><p>\n<p style=\"text-align: justify;\">Anticipate the demand from customers at different sales points, allowing for factors under control, such as the price for sale, and external factors, such as calendars or weather conditions.<\/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-paper-plane-o boxicon\" style=\"\"><\/i><\/div><div class=\"iconbox-content\"><h3>Calculate electricity generation needs<\/h3><p>\n<p style=\"text-align: justify;\"><a href=\"\/en\/big-data-services\/energy-environment\/\">Provide forecasts of electricity<\/a> generated from renewable and not easily manageable energy, such as wind or solar energy.<\/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-group boxicon\" style=\"\"><\/i><\/div><div class=\"iconbox-content\"><h3>Predict employee performance<\/h3><p>\n<p style=\"text-align: justify;\">Predict the performance of the personnel, for instance, the sales that a Sales team will make according to the data gathered on their recruitment processes.<\/p>\n<\/p><\/div><\/div>[\/vc_column][\/vc_row][vc_row type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;][vc_column_text]\n<p style=\"text-align: center;\">Prediction Techniques may give us estimations on all these unknown variables, which contributes to a better planning of the business.<\/p>\n[\/vc_column_text]<div class=\"divider divider1\" style='margin:0 !important;'><\/div>[\/vc_column][\/vc_row][vc_row bg_color=&#8221;#eeeeec&#8221; top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/1&#8243; delay=&#8221;900&#8243;][vc_column_text]\n<h3 style=\"text-align: center;\"><span style=\"color: #9f1700;\">How do they 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;\">As alike automatic classification procedures, the ones used for Prediction Techniques are grounded on the scientific discipline <strong>known as supervised automatic<\/strong> learning and similar ones, such as the study of temporal series. These techniques analyse historical data of the measures that need to be predicted and, using statistical techniques, relate them to external factors that may influence them. Therefore, a <strong>predictive model<\/strong> is built to estimate the most probable values of these measures in the near future.<\/p>\n<p style=\"text-align: justify;\">In the way of classification systems, a regression model is a <strong>living solution<\/strong>, which can be reloaded constantly with new data as they are obtained, thus readjusting to future trends or unexpected circumstances automatically.<\/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;\">Likewise, with the aim of integrating the prediction model into the business process more easily, the model can generate variability indexes or confidence intervals on the basis of predictions, thus informing not only about the most probable value but also about the volatility expected.<\/p>\n<p style=\"text-align: justify;\">This allows <strong>implementing business rules based on these predictions<\/strong>, for instance, supplying sales points with more stock whether a high demand or high volatility are expected.<\/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;3f48115e-6a78-4&#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 Prediction Techniques solutions[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;4\/6&#8243;][vc_column_text]\n<\/span><\/h3>\n<p style=\"text-align: justify;\">Advantages of the Prediction Techniques:<\/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-graph boxicon\" style=\"\"><\/i><\/div><div class=\"iconbox-content\"><h3>Reduction of the uncertainty <\/h3><p>\n<p style=\"text-align: justify;\">Reduction of the uncertainty at business level elaborating predictions of the customers demand, sales or other relevant measures.<\/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-equalizer boxicon\" style=\"\"><\/i><\/div><div class=\"iconbox-content\"><h3>Setting-up of more solid business rules <\/h3><p>\n<p style=\"text-align: justify;\">Setting-up of more solid business rules based on the reliability and precision of the statistical models.<\/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-speedometer boxicon\" style=\"\"><\/i><\/div><div class=\"iconbox-content\"><h3>High speed of response<\/h3><p>\n<p style=\"text-align: justify;\">High speed of response, besides updating the measures of predictions whenever new data arise.<\/p>\n<\/p><\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_tab][vc_tab title=&#8221;Guaranteed efficiency&#8221; tab_id=&#8221;1450871830655-1-7&#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 Prediction Techniques 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 of experience at the IIC vouch for our experience developing predictive models and high-value solutions, generated in fields such as <strong>energy prediction<\/strong> and <strong>demand prediction in the electric sector<\/strong>.<\/p>\n<p style=\"text-align: justify;\">IIC has a team of highly qualified professionals in machine learning 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 Prediction Techniques allows us to develop customised solutions 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; top_padding=&#8221;15&#8243; bottom_padding=&#8221;15&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_raw_html]JTNDcCUyMHN0eWxlJTNEJTIybGluZS1oZWlnaHQlM0ElMjAyOHB4JTNCJTIwZm9udC13ZWlnaHQlM0ElMjAxMDAlM0IlMjBmb250LWZhbWlseSUzQSUyME9wZW4lMjBTYW5zJTNCJTIwZm9udC1zaXplJTNBJTIwMjBweCUzQiUyMHRleHQtYWxpZ24lM0ElMjBjZW50ZXIlM0IlMjIlM0VQcmVkaWN0aW9uJTIwdGVjaG5pcXVlcyUyMGFsbG93JTIwdXMlMjB0byUyMGFudGljaXBhdGUlMjB0byUyMGNoYW5nZXMlMjBhbmQlMjB1bmNlcnRhaW50aWVzJTIwb2YlMjB0aGUlMjBidXNpbmVzcyUyQyUyMGFuJTIwZXNzZW50aWFsJTIwYXNwZWN0JTIwdG8lMjBndWFyYW50ZWUlMjBzdWNjZXNzLiUzQyUyRnAlM0U=[\/vc_raw_html][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"<p>[vc_row type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;][vc_column_text][\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#ffffff&#8221; top_padding=&#8221;30&#8243; bottom_padding=&#8221;30&#8243;][vc_column width=&#8221;1\/1&#8243; delay=&#8221;900&#8243;][vc_column_text] What are the Prediction Techniques? The capacity to anticipate to future changes and uncertainties of the business is essential to guarantee success. The aim of Prediction Techniques is to minimise these uncertainties, generating useful forecasts to: [\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#ffffff&#8221; top_padding=&#8221;30&#8243; bottom_padding=&#8221;20&#8243;][vc_column width=&#8221;1\/3&#8243; delay=&#8221;500&#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 type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;][vc_column_text] Prediction Techniques may give us estimations on all these unknown variables, which contributes to a better planning of the business. [\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#eeeeec&#8221; top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/1&#8243; delay=&#8221;900&#8243;][vc_column_text] How do they work? [\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text] As alike automatic classification procedures, the ones used for Prediction Techniques are grounded on the scientific discipline known as supervised automatic learning and similar ones, such as the study of temporal series. These techniques analyse historical data of the measures that need to be predicted and, using statistical techniques, relate them to external factors that may influence them. Therefore, a predictive model is built to estimate the most probable values of these measures in the near future. In the way of classification systems, a regression model is a living solution, which can be reloaded constantly with new data as they are obtained, thus readjusting to future trends or unexpected circumstances automatically. [\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text] Likewise, [&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-2453","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>Prediction - 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\/prediction\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Prediction - IIC\" \/>\n<meta property=\"og:description\" content=\"[vc_row type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;][vc_column_text][\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#ffffff&#8221; top_padding=&#8221;30&#8243; bottom_padding=&#8221;30&#8243;][vc_column width=&#8221;1\/1&#8243; delay=&#8221;900&#8243;][vc_column_text] What are the Prediction Techniques? The capacity to anticipate to future changes and uncertainties of the business is essential to guarantee success. The aim of Prediction Techniques is to minimise these uncertainties, generating useful forecasts to: [\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#ffffff&#8221; top_padding=&#8221;30&#8243; bottom_padding=&#8221;20&#8243;][vc_column width=&#8221;1\/3&#8243; delay=&#8221;500&#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 type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;][vc_column_text] Prediction Techniques may give us estimations on all these unknown variables, which contributes to a better planning of the business. [\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#eeeeec&#8221; top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/1&#8243; delay=&#8221;900&#8243;][vc_column_text] How do they work? [\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text] As alike automatic classification procedures, the ones used for Prediction Techniques are grounded on the scientific discipline known as supervised automatic learning and similar ones, such as the study of temporal series. These techniques analyse historical data of the measures that need to be predicted and, using statistical techniques, relate them to external factors that may influence them. Therefore, a predictive model is built to estimate the most probable values of these measures in the near future. In the way of classification systems, a regression model is a living solution, which can be reloaded constantly with new data as they are obtained, thus readjusting to future trends or unexpected circumstances automatically. [\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text] Likewise, [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/\" \/>\n<meta property=\"og:site_name\" content=\"Instituto de Ingenier\u00eda del Conocimiento\" \/>\n<meta property=\"article:modified_time\" content=\"2016-02-19T12:59:48+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@iiconocimiento\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/\",\"url\":\"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/\",\"name\":\"Prediction - IIC\",\"isPartOf\":{\"@id\":\"https:\/\/www.iic.uam.es\/#website\"},\"datePublished\":\"2016-01-20T12:46:06+00:00\",\"dateModified\":\"2016-02-19T12:59:48+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Portada\",\"item\":\"https:\/\/www.iic.uam.es\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Big Data\",\"item\":\"https:\/\/www.iic.uam.es\/en\/big-data\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Predictive Analytics\",\"item\":\"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"Prediction\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.iic.uam.es\/#website\",\"url\":\"https:\/\/www.iic.uam.es\/\",\"name\":\"Instituto de Ingenier\u00eda del Conocimiento\",\"description\":\"IIC\",\"publisher\":{\"@id\":\"https:\/\/www.iic.uam.es\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.iic.uam.es\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.iic.uam.es\/#organization\",\"name\":\"Instituto de Ingenier\u00eda del Conocimiento\",\"url\":\"https:\/\/www.iic.uam.es\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.iic.uam.es\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.iic.uam.es\/wp-content\/uploads\/2017\/12\/IIC_logoP.png\",\"contentUrl\":\"https:\/\/www.iic.uam.es\/wp-content\/uploads\/2017\/12\/IIC_logoP.png\",\"width\":400,\"height\":283,\"caption\":\"Instituto de Ingenier\u00eda del Conocimiento\"},\"image\":{\"@id\":\"https:\/\/www.iic.uam.es\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/x.com\/iiconocimiento\",\"https:\/\/www.linkedin.com\/company\/instituto-de-ingenieria-del-conocimiento-iic\",\"https:\/\/www.youtube.com\/IIConocimiento\",\"https:\/\/es.wikipedia.org\/wiki\/Instituto_de_Ingeniera_del_Conocimiento\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Prediction - IIC","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/","og_locale":"en_US","og_type":"article","og_title":"Prediction - IIC","og_description":"[vc_row type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;][vc_column_text][\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#ffffff&#8221; top_padding=&#8221;30&#8243; bottom_padding=&#8221;30&#8243;][vc_column width=&#8221;1\/1&#8243; delay=&#8221;900&#8243;][vc_column_text] What are the Prediction Techniques? The capacity to anticipate to future changes and uncertainties of the business is essential to guarantee success. The aim of Prediction Techniques is to minimise these uncertainties, generating useful forecasts to: [\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#ffffff&#8221; top_padding=&#8221;30&#8243; bottom_padding=&#8221;20&#8243;][vc_column width=&#8221;1\/3&#8243; delay=&#8221;500&#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 type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;][vc_column_text] Prediction Techniques may give us estimations on all these unknown variables, which contributes to a better planning of the business. [\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#eeeeec&#8221; top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/1&#8243; delay=&#8221;900&#8243;][vc_column_text] How do they work? [\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text] As alike automatic classification procedures, the ones used for Prediction Techniques are grounded on the scientific discipline known as supervised automatic learning and similar ones, such as the study of temporal series. These techniques analyse historical data of the measures that need to be predicted and, using statistical techniques, relate them to external factors that may influence them. Therefore, a predictive model is built to estimate the most probable values of these measures in the near future. In the way of classification systems, a regression model is a living solution, which can be reloaded constantly with new data as they are obtained, thus readjusting to future trends or unexpected circumstances automatically. [\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text] Likewise, [&hellip;]","og_url":"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/","og_site_name":"Instituto de Ingenier\u00eda del Conocimiento","article_modified_time":"2016-02-19T12:59:48+00:00","twitter_card":"summary_large_image","twitter_site":"@iiconocimiento","twitter_misc":{"Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/","url":"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/","name":"Prediction - IIC","isPartOf":{"@id":"https:\/\/www.iic.uam.es\/#website"},"datePublished":"2016-01-20T12:46:06+00:00","dateModified":"2016-02-19T12:59:48+00:00","breadcrumb":{"@id":"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Portada","item":"https:\/\/www.iic.uam.es\/en\/"},{"@type":"ListItem","position":2,"name":"Big Data","item":"https:\/\/www.iic.uam.es\/en\/big-data\/"},{"@type":"ListItem","position":3,"name":"Predictive Analytics","item":"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/"},{"@type":"ListItem","position":4,"name":"Prediction"}]},{"@type":"WebSite","@id":"https:\/\/www.iic.uam.es\/#website","url":"https:\/\/www.iic.uam.es\/","name":"Instituto de Ingenier\u00eda del Conocimiento","description":"IIC","publisher":{"@id":"https:\/\/www.iic.uam.es\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.iic.uam.es\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.iic.uam.es\/#organization","name":"Instituto de Ingenier\u00eda del Conocimiento","url":"https:\/\/www.iic.uam.es\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.iic.uam.es\/#\/schema\/logo\/image\/","url":"https:\/\/www.iic.uam.es\/wp-content\/uploads\/2017\/12\/IIC_logoP.png","contentUrl":"https:\/\/www.iic.uam.es\/wp-content\/uploads\/2017\/12\/IIC_logoP.png","width":400,"height":283,"caption":"Instituto de Ingenier\u00eda del Conocimiento"},"image":{"@id":"https:\/\/www.iic.uam.es\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/iiconocimiento","https:\/\/www.linkedin.com\/company\/instituto-de-ingenieria-del-conocimiento-iic","https:\/\/www.youtube.com\/IIConocimiento","https:\/\/es.wikipedia.org\/wiki\/Instituto_de_Ingeniera_del_Conocimiento"]}]}},"_links":{"self":[{"href":"https:\/\/www.iic.uam.es\/en\/wp-json\/wp\/v2\/pages\/2453"}],"collection":[{"href":"https:\/\/www.iic.uam.es\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.iic.uam.es\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.iic.uam.es\/en\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.iic.uam.es\/en\/wp-json\/wp\/v2\/comments?post=2453"}],"version-history":[{"count":0,"href":"https:\/\/www.iic.uam.es\/en\/wp-json\/wp\/v2\/pages\/2453\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/www.iic.uam.es\/en\/wp-json\/wp\/v2\/pages\/5582"}],"wp:attachment":[{"href":"https:\/\/www.iic.uam.es\/en\/wp-json\/wp\/v2\/media?parent=2453"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}