{"id":249,"date":"2007-05-19T03:29:34","date_gmt":"2007-05-19T07:29:34","guid":{"rendered":"http:\/\/blogs.law.harvard.edu\/zeroday\/2007\/05\/19\/finding-patterns-in-time-series\/"},"modified":"2007-05-19T03:29:34","modified_gmt":"2007-05-19T07:29:34","slug":"finding-patterns-in-time-series","status":"publish","type":"post","link":"https:\/\/archive.blogs.harvard.edu\/zeroday\/2007\/05\/19\/finding-patterns-in-time-series\/","title":{"rendered":"Finding Patterns in Time Series"},"content":{"rendered":"<p>This is a topic I&#8217;d like to research a little more and apply towards my research at Stopbadware.<\/p>\n<p>Meta Topics<\/p>\n<ul>\n<li>Dynamic Time Warping: aligning time series and a specific word template so that some distance measure is minimized<\/li>\n<li><em>n-by-m<\/em> plane or grid<\/li>\n<li>Monotonicity<\/li>\n<li>Continuity<\/li>\n<li>Warping Window<\/li>\n<li>Slope Constraint<\/li>\n<li>Boundary Conditions<\/li>\n<\/ul>\n<blockquote><p>Once we can detect patterns we can then express higher level relationships  or &#8220;knowledge&#8221; as rules.<\/p><\/blockquote>\n<p>source: &#8220;Finding Patterns in Time Series: A Dynamic Programming Approach&#8221;, Berndt &amp; Clifford, <em>Advances in Knowledge Discovery and Data Mining<\/em> (1996)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This is a topic I&#8217;d like to research a little more and apply towards my research at Stopbadware. Meta Topics Dynamic Time Warping: aligning time series and a specific word template so that some distance measure is minimized n-by-m plane or grid Monotonicity Continuity Warping Window Slope Constraint Boundary Conditions Once we can detect patterns [&hellip;]<\/p>\n","protected":false},"author":214,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[273],"tags":[],"class_list":["post-249","post","type-post","status-publish","format-standard","hentry","category-non-sequiter"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/archive.blogs.harvard.edu\/zeroday\/wp-json\/wp\/v2\/posts\/249","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/archive.blogs.harvard.edu\/zeroday\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/archive.blogs.harvard.edu\/zeroday\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/archive.blogs.harvard.edu\/zeroday\/wp-json\/wp\/v2\/users\/214"}],"replies":[{"embeddable":true,"href":"https:\/\/archive.blogs.harvard.edu\/zeroday\/wp-json\/wp\/v2\/comments?post=249"}],"version-history":[{"count":0,"href":"https:\/\/archive.blogs.harvard.edu\/zeroday\/wp-json\/wp\/v2\/posts\/249\/revisions"}],"wp:attachment":[{"href":"https:\/\/archive.blogs.harvard.edu\/zeroday\/wp-json\/wp\/v2\/media?parent=249"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/archive.blogs.harvard.edu\/zeroday\/wp-json\/wp\/v2\/categories?post=249"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/archive.blogs.harvard.edu\/zeroday\/wp-json\/wp\/v2\/tags?post=249"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}