Kelly Kingchi Yip

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Time series data are often found in diverse fields, such as science, business, medicine and engineering. In this paper, we focus on sequential pattern mining for categorical time series datasets that contain multiple independent timeseries. Frequent patterns are considered important in many applications. However, collected data are generally afflicted with(More)
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