Mining Periodicity in Incomplete Data
{"Image DocumentName": "Mining Periodicity in Incomplete Data", "Image ImageDescription": "Event has a period of 20. Occurrences of the event happen between 20k+5 to 20k+10. even though the observations are sparse, it has little affect on the overall distribution when we segment and overlay the data using the correct period. So our high-level idea is as a generate-and-test framework. We will try all potential periods and see which results in a skew distribution of observations. [pause] There are many ways to measure the skewness. In our work, we propose to use the discrepancy measure between the ratios of in and out observations. Comment: The high-level idea is enough; probability is not the major contribution. Put the observation graph first, pause a few seconds, let people guess the periods. (Zhai) Mixture probabilistic model; entropy? (Zhai) Baseline is too weak. Why not other probabilistic methods? (Zhai) Zhenhui Jessie Li.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}