Local-shapelets for fast classification of spectrographic measurements. Issue 6 (15th April 2015)

• Record Type: Journal Article
• Authors: Gordon, Daniel; Hendler, Danny; Kontorovich, Aryeh; Rokach, Lior
• Is Part Of: Expert systems with applications. Volume 42:Issue 6(2015)
• Page Start: 3150
• Page End: 3158
• Publication Date: 2015-04-15
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2014.11.043
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st105">Highlights</title> <sec> <p id="sp005"> <list id="l0005"> <list-item id="u0005"> <label></label> <p id="p0320">We present an algorithm for classifying spectrographic measurements.</p> </list-item> <list-item id="u0010"> <label></label> <p id="p0325">The concept of locality is introduced into an established time series algorithm.</p> </list-item> <list-item id="u0015"> <label></label> <p id="p0330">A technique for estimating a tolerance parameter is presented.</p> </list-item> <list-item id="u0020"> <label></label> <p id="p0335">Learning and classification times are reduced by two orders of magnitude.</p> </list-item> <list-item id="u0025"> <label></label> <p id="p0340">Accuracy levels are retained.</p> </list-item> </list> </p> </sec> </abstract>