There are few terms related with time series classification which need to be defined beforehand. Accurate time series classification can increase the business revenue by a high margin as well as facilitate optimal resource allocation and therefore many industries have a great interest in this area. Stock market anomaly detection in business, identifying heartbeat patterns of patients in hospitals and detecting temperature levels in climate science are some of its’ practical examples. It has a usage in many industries such as business, hospitals, hotels and transportation. Time series classification is one of the major research areas over the past few years mainly due to its’ large number of practical applications in various domains.
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