BEATS: Blocks of Eigenvalues Algorithm for Time Series Segmentation.

IEEE Transactions on Knowledge and Data Engineering(2018)

引用 31|浏览42
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摘要
The massive collection of data via emerging technologies like the Internet of Things (IoT) requires finding optimal ways to reduce the observations in the time series analysis domain. The IoT time series require aggregation methods that can preserve and represent the key characteristics of the data. In this paper, we propose a segmentation algorithm that adapts to unannounced mutations of the data...
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关键词
Time series analysis,Clustering algorithms,Approximation algorithms,Discrete cosine transforms,Signal processing algorithms,Machine learning algorithms,Standards
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