{"title":"A segmentation technology for multivariate contextual time series","authors":"Hui-juan Zhang, Jia-Cheng Huang","doi":"10.1109/ISCMI.2017.8279600","DOIUrl":null,"url":null,"abstract":"A time series is a series of data points indexed in time order, mining multivariate contextual time series (MCTS) should pay more attention to time order. This paper proposes a new method for splitting the MCTS into a number of segments, uses the concept of scenarios and themes to represent MCTS instead of data points and extracts important contextual features to carry out the multidimensional fitting for MCTS.","PeriodicalId":119111,"journal":{"name":"2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCMI.2017.8279600","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A time series is a series of data points indexed in time order, mining multivariate contextual time series (MCTS) should pay more attention to time order. This paper proposes a new method for splitting the MCTS into a number of segments, uses the concept of scenarios and themes to represent MCTS instead of data points and extracts important contextual features to carry out the multidimensional fitting for MCTS.
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