{"version":"1.0","provider_name":"Salzburg Research Forschungsgesellschaft","provider_url":"https:\/\/www.salzburgresearch.at\/en\/","author_name":"Matthias Herlich","author_url":"https:\/\/www.salzburgresearch.at\/en\/author\/matthias-herlich\/","title":"Wireless Communication Data Sets for Machine Learning - Salzburg Research Forschungsgesellschaft","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"qoyPhl8xE8\"><a href=\"https:\/\/www.salzburgresearch.at\/en\/blog\/wireless-communication-data-sets-for-machine-learning\/\">Wireless Communication Data Sets for Machine Learning<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.salzburgresearch.at\/en\/blog\/wireless-communication-data-sets-for-machine-learning\/embed\/#?secret=qoyPhl8xE8\" width=\"600\" height=\"338\" title=\"&#8220;Wireless Communication Data Sets for Machine Learning&#8221; &#8212; Salzburg Research Forschungsgesellschaft\" data-secret=\"qoyPhl8xE8\" 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\/\/# sourceURL=https:\/\/www.salzburgresearch.at\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/www.salzburgresearch.at\/wp-content\/uploads\/2020\/12\/Wlan_Monitor_c_Salzburg_Research_shutterstock_PopTika.jpg","thumbnail_width":1000,"thumbnail_height":545,"description":"Applying machine learning techniques to wireless networks is a hot research topic. One of the biggest problems in this area is accessing a suitable data set. Because creating such data sets is expensive, reusing them is important. To provide more researchers access to data for machine learning in wireless networking we surveyed wireless communication data sets. Our overview supports researchers that want to apply machine learning to wireless networking in finding a suitable data set."}