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In real-world applications, machine learning algorithms can be employed in spam detection, environmental monitoring, fraud detection, medical diagnoses, among others. Most of these problems present an environment which changes over time. The problem involving classification tasks in dynamic environments has become one of the major challenges in machine learning domain in the last decades. Currently...
Clustering is an important technology in mining time series, and the key is to define the similarity or dissimilarity between data. One of existing time series distance measures LB_Keogh, is tighter lower bounding than Euclidean and dynamic time warping (DTW), however, it is an asymmetrical distance measure, and has its limitation in clustering.To solve the problem, we present a symmetrical boundary...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.