{"id":1441,"date":"2014-09-30T06:38:56","date_gmt":"2014-09-29T22:38:56","guid":{"rendered":"http:\/\/www.hkkms.hk\/?p=1441"},"modified":"2014-12-07T09:32:26","modified_gmt":"2014-12-07T01:32:26","slug":"social-big-data","status":"publish","type":"post","link":"http:\/\/www.hkkms.hk\/index.php\/2014\/09\/social-big-data\/","title":{"rendered":"Handling high diversity in social big data and capturing operational knowledge"},"content":{"rendered":"<div id=\"attachment_1447\" style=\"width: 110px\" class=\"wp-caption alignleft\"><a href=\"http:\/\/www.hkkms.hk\/wp-content\/uploads\/2014\/09\/05419b7.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-1447\" class=\"wp-image-1447 size-full\" src=\"http:\/\/www.hkkms.hk\/wp-content\/uploads\/2014\/09\/05419b7.jpg\" alt=\"\" width=\"100\" height=\"100\" srcset=\"http:\/\/www.hkkms.hk\/wp-content\/uploads\/2014\/09\/05419b7.jpg 100w, http:\/\/www.hkkms.hk\/wp-content\/uploads\/2014\/09\/05419b7-96x96.jpg 96w, http:\/\/www.hkkms.hk\/wp-content\/uploads\/2014\/09\/05419b7-24x24.jpg 24w, http:\/\/www.hkkms.hk\/wp-content\/uploads\/2014\/09\/05419b7-36x36.jpg 36w, http:\/\/www.hkkms.hk\/wp-content\/uploads\/2014\/09\/05419b7-48x48.jpg 48w, http:\/\/www.hkkms.hk\/wp-content\/uploads\/2014\/09\/05419b7-64x64.jpg 64w\" sizes=\"auto, (max-width: 100px) 100vw, 100px\" \/><\/a><p id=\"caption-attachment-1447\" class=\"wp-caption-text\">Daniel Ng<\/p><\/div>\n<h2><\/h2>\n<p><strong style=\"color: #000000;\">Big Data\u00a0<\/strong><span style=\"color: #000000;\">continues to be a the hot topic. \u00a0However\u00a0Knowledge Management(KM) professionals remain wary of what it means to them and how to make big data meaningful from the perspective of knowledge creation and discovery. \u00a0Our next meeting on 16th October is on the subject of social big data, \u00a0a\u00a0continuation of this important discussion and exploration.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><strong><em>Speaker<\/em>:<\/strong> \u00a0Daniel Ng<br \/>\n<em><strong>Date:<\/strong><\/em> \u00a016th October 2014<br \/>\n<em style=\"color: #000000;\"><strong>Time<\/strong>: From 6:30pm \u2013 8:00pm<br \/>\n<\/em><em style=\"color: #000000;\"><strong>Location<\/strong>: \u00a0HKGCC, 22nd Floor, United Centre, Admiralty\u00a0<em>(Admiralty MTR Station)<\/em><\/em><\/p>\n<p>The event is $200 for non members and free for members. \u00a0Please complete the registration form below to reserve\u00a0your seat. \u00a0Please come prepared for an active discussion and engaging evening. \u00a0\u00a0The disccussion\u00a0abstract and Daniel&#8217;s bio can be found below.<\/p>\n<p>&nbsp;<\/p>\n<h2>Abstract<\/h2>\n<p>Data sets concerning social phenomena are huge. It could be hospital medical records, consumer financial records, city transportation information and etc. One perspective is to optimize the views on collected data sets, in other words, the number of measurement or dimensions. This presentation illustrates some cases in social big data dimension issues, the relationship of operation knowledge discovery, recommendation system, big graph and the handling of billion data records through Random Matrix Theory (RMT).<\/p>\n<h2>Bio:<\/h2>\n<p>Ir Daniel Ng CPA FBCS is a professional manufacturing and logistics engineer (HKIE), CPA and Fellows of British Computer Society. He successfully employed his professional knowledge to boost a listed company\u2019s share price in 11 times during his directorship\u00a0<a href=\"tel:2009-2010\">2009-2010<\/a>. Currently, he runs five business units from digital textile printing, party sales, internet scanning, business intelligence and Russian oil import.<\/p>\n<h2><\/h2>\n","protected":false},"excerpt":{"rendered":"<p>Big Data\u00a0continues to be a the hot topic. \u00a0However\u00a0Knowledge Management(KM) professionals remain wary of what it means to them and how to make big data meaningful from the perspective of knowledge creation and discovery. \u00a0Our next meeting on 16th October is on the subject of social big data, \u00a0a\u00a0continuation of this important discussion and exploration. <a href='http:\/\/www.hkkms.hk\/index.php\/2014\/09\/social-big-data\/' class='excerpt-more'>[&#8230;]<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[78],"class_list":["post-1441","post","type-post","status-publish","format-standard","hentry","category-meetings","tag-big-data","category-3-id","post-seq-1","post-parity-odd","meta-position-corners","fix"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>HKKMS - Handling high diversity in social big data<\/title>\n<meta name=\"description\" content=\"KM professionals remain uncertain of what and how to make big data meaningful in knowledge creation and discovery. 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