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It is well-known that the values of symbolic variables may take various forms such as an interval, a set of stochastic measurements of some underlying patterns or qualitative multi-values and so on. However, the majority of existing work in symbolic data analysis still focuses on interval values. Although some pioneering work in stochastic pattern based symbolic data and mixture of symbolic variables has been explored, it still lacks of flexibility and computation efficiency to make full use ofdoi:10.1007/s11390-018-1857-9 fatcat:mjl7dhisijd2xmbo244rmcoc3m