**SAX - jmotif - Walk through steps of Symbolic Aggregate approXimation. - A temporal data-mining toolkit based on SAX and TFIDF statistics. - Google Project Hosting**

SAX - jmotif - Walk through steps of Symbolic Aggregate approXimation. - A temporal data-mining toolkit based on SAX and TFIDF statistics. - Google Project Hosting: "SAX transforms a time-series X of length n into the string of arbitrary length , where typically, using an alphabet A of size a > 2. The SAX algorithm consist of two steps: during the first step it transforms the original time-series into a PAA representation and this intermediate representation gets converted into a string during the second step. Use of PAA at the first step brings the advantage of a simple and efficient dimensionality reduction while providing the important lower bounding property as shown in the previous section. The second step, actual conversion of PAA coefficients into letters, is also computationally efficient and the contractive property of symbolic distance was proven by Lin et al."

'via Blog this'Syndicated 2013-02-20 00:00:00 from sness