VALMOD: Scalable Discovery of Variable-Length Motifs in Data SeriesMichele Linardi*,Yan Zhu+Themis Palpanas* and Eamonn Keogh+*(Lipade, University Paris Descartes) +(UC, Riverside) |
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This page is the support page of VALMOD, which mainly complements the experimental evaluation, providing the relative materials. You may find the VALMOD article here: VALMOD 2018 (ACM Sigmod conference) .
Empirical evaluation of our approachIn this following part, we provide the source code of VALMOD (in C), and all the DATASETS used for evaluating our system. Please note that we compared VALMOD with other motif discovery approaches:
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You can find several experimental "ready-to-run" bash scripts in this ARCHIVE . Both the zip files (source code and experiments scripts) are protected by password. Please contact me at michele[dot]linardi[at]orange[dot]fr.