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임경빈(Keyngbin Im),류창렬(ChangRyeol Ryu),조성준(Sungzoon Cho),김현중(Hyunjoong Kim) 한국자동차공학회 2018 한국자동차공학회 학술대회 및 전시회 Vol.2018 No.11
In this IOT era, various industries research a method of defining the pattern of the Big data. However, mixed types and characteristics of data make the analysis too hard. In this paper, a new method of extracting the pattern from driving big data is proposed. Time-series segmentation is implemented by not just time, but the original meaning of the data. After extracting the pattern of the data, it can be used to define the relation between driving pattern and the status of battery. Furthermore, it will be helped to find the genuine cause of what makes the battery claim.