關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Mining Emerging Patterns from Time Series Data with Time Gap Constraint

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序號 學年期 教師動態
1 100/1 資工系 陳俊豪 教授 期刊論文 發佈 Mining Emerging Patterns from Time Series Data with Time Gap Constraint , [100-1] :Mining Emerging Patterns from Time Series Data with Time Gap Constraint期刊論文Mining Emerging Patterns from Time Series Data with Time Gap ConstraintYu, Hsieh-Hui; Chen, Chun-Hao; Tseng, Vincent S.淡江大學資訊工程學系Emerging patterns; Contrast sets; Time series data analysis; Symbolic aggregative approximation (SAX); Perceptually important points (PIPs)Kumamoto: I C I C InternationalInternational Journal of Innovative Computing, Information and Control 7(9), pp.5515-5528Discovery of powerful contrasts between datasets is an important issue in data mining. To address this, the concept of emerging patterns (EPs) has thus been introduced by Dong and Li. EPs are a set of itemsets whose support changes significantly from one dataset to another. Although an increasing number of works focus on this topic with regard to relational databases, few have considered mining EPs in time series. In this paper, we thus propose a framework named PIPs-SAX for mining EPs from time series data. The framework contains
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