Abstract:Abstract. Time series of sensor databases and scientific time series often consist of periodic patterns. Examples can be found in environmental analysis, where repeated measurements of climatic attributes like temperature, humidity or barometric pressure are taken. Depending on season-specific meteorological influences, curves of consecutive days can be strongly related to each other, whereas days of different seasons show different characteristics. Analyzing such phenomena could be very valuable for many appl… Show more
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