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Mining Time Series Data In Dwdm

data mining tasks | data mining tutorial by wideskills,time series is a sequence of events where the next event is determined by one or more of the preceding events. time series reflects the process being measured and there are certain components that affect the behavior of a process. time series analysis includes methods to analyze time-series data in order to extract useful patterns, trends, rules and statistics..data representation for time series data mining: time,in most time series data mining, alternate forms of data representation or data preprocessing is required because of the unique characteristics of time series, such as high dimension (the number of data points), presence of random noise, and nonlinear relationship of the data elements. therefore, any data representation method aims to achieve.what is data mining? definition of data mining, data,definition: in simple words, data mining is defined as a process used to extract usable data from a larger set of any raw data. it implies analysing data patterns in large batches of data using one or more software. data mining has applications in multiple fields, like science and research..survey on time series motif discovery - torkamani - 2017,time series data are a set of real‐valued variables obtained chronologically. data mining and machine learning help derive meaningful knowledge from time series. such tasks include clustering, classification, anomaly detection and motif discovery ..

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