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<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="47121ecd03aaa49a-835572bc-435e4118-b33f8d65-066819d84d32e632934186fe"><ac:plain-text-body><![CDATA[ | UTORONTO | [[csv | http://www.slac.stanford.edu/~kalim/event-detection/published-data/UTORONTO-pathchirp.csv]], [[xls | http://www.slac.stanford.edu/~kalim/event-detection/published-data/UTORONTO-pathchirp.xls]] | [[txt | http://www.slac.stanford.edu/~kalim/event-detection/published-data/UTORONTO-pathchirp-labeled-events.txt]] | ]]></ac:plain-text-body></ac:structured-macro> |
<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="c4f99afe7da8cfa1-3a05fe22-453e4e1f-94eeb1ec-5af571890a2846dcc4a8b1ba"><ac:plain-text-body><![CDATA[ | TRIUMF | [[csv | http://www.slac.stanford.edu/~kalim/event-detection/published-data/TRIUMF-pathchirp.csv]], [[xls | http://www.slac.stanford.edu/~kalim/event-detection/published-data/TRIUMF-pathchirp.xls]] | [[txt | http://www.slac.stanford.edu/~kalim/event-detection/published-data/TRIUMF-pathchirp-labeled-events.txt]] | ]]></ac:plain-text-body></ac:structured-macro> |
<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="ab11b0d890ddd8d5-9fcfa540-458c4cf0-9f65ac0a-9079f2a5bb87ef9cb5e140bf"><ac:plain-text-body><![CDATA[ | ORNL | [[csv | http://www.slac.stanford.edu/~kalim/event-detection/published-data/ORNL-pathchirp.csv]], [[xls | http://www.slac.stanford.edu/~kalim/event-detection/published-data/ORNL-pathchirp.xls]] | [txt] | ]]></ac:plain-text-body></ac:structured-macro> |
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Fig. 2: ROC curves for Plateau (PL), |
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a) Plateau Algorithm
| Wiki Markup |
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The [Plateau Algorithm|http://www.acm.org/sigs/sigcomm/sigcomm2004/workshop_papers/nts26-logg1.pdf] \[1\] takes four input parameters - history buffer length, trigger buffer length, sensitivity and threshold. We define the trigger buffer length to hold observations spanning at least 3 hours (since we define an anomalous event as one that persists for at least 3 hours). Since the measurements made by IEPM are 45 mins apart, we get about 6 observations. We then empirically determine the optimal length of the history buffer to span at least 5 days ~ 240 observations. |
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