{"version":"1.0","provider_name":"Microsoft Research","provider_url":"https:\/\/www.microsoft.com\/en-us\/research","author_name":"Yu Zheng","author_url":"https:\/\/www.microsoft.com\/en-us\/research\/people\/yuzheng\/","title":"Methodologies for Cross-Domain Data Fusion: An Overview - Microsoft Research","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"lnyAKkWhW9\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/methodologies-for-cross-domain-data-fusion-an-overview\/\">Methodologies for Cross-Domain Data Fusion: An Overview<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/methodologies-for-cross-domain-data-fusion-an-overview\/embed\/#?secret=lnyAKkWhW9\" width=\"600\" height=\"338\" title=\"&#8220;Methodologies for Cross-Domain Data Fusion: An Overview&#8221; &#8212; Microsoft Research\" data-secret=\"lnyAKkWhW9\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/* ]]> *\/\n<\/script>\n","description":"Traditional data mining usually deals with data from a datasets from different sources in different domains. These datasets representation, distribution, scale and density. How to unlock the connected) datasets is paramount in the big data research, essentially This calls for advanced techniques that can fuse the knowledge from mining task. This paper summarizes the data [&hellip;]","thumbnail_url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2015\/09\/flyer-data_fusion.png"}