SEGMENTATION OF RELATED TIME SERIES BY THE EXAMPLE OF RADON VOLUMETRIC ACTIVITY AND ATMOSHERE PRESSURE [PDF]
Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2010 This paper is devoted to the results of using related time series segmentation method based on Grager test to the radon volumetric activity and atmosphere pressure ...
Tristanov A.B. +2 more
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Data Mining Time Series Data With Virtual Transaction [PDF]
The KIPS Transactions:PartD, 2002 There has been much research on data mining techniques for applying more advanced applications. However, most of those techniques has focused on transaction data rather than time series data. In this paper, we introduce a approach to convert time series data into virtual transaction data for more useful data mining applications.
Min-Su Kim, Cheol-Hwan Kim, Eung-Mo Kim
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Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks
, 2019 In many domains, there is significant interest in capturing novel relationships between time series that represent activities recorded at different nodes of a highly complex system.
Agrawal, Saurabh +7 more
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Interpretable Categorization of Heterogeneous Time Series Data [PDF]
, 2018 Understanding heterogeneous multivariate time series data is important in many applications ranging from smart homes to aviation. Learning models of heterogeneous multivariate time series that are also human-interpretable is challenging and not ...
Kochenderfer, Mykel J. +3 more
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Public Response to “the MOOC Movement” in China: Examining the Time Series of Microblogging
International Review of Research in Open and Distributed Learning, 2015 In China, microblogging is an extremely popular activity and is proving to be an effective mechanism to gauge perceptions about social phenomena. Between 2010 and 2015 Sina Weibo, China’s largest microblogging website, generated 95,015 postings from 62 ...
Jingjing Zhang +3 more
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Survey on Feature Representation and Similarity Measurement of Time Series
Jisuanji kexue yu tansuo, 2021 Time series is a group of random numbers which are composed of the values of the same index according to the time sequence. With the rapid development of science and technology, the application of time series in the field of data mining becomes more and ...
SUN Dongpu, QU Li
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A Better Alternative to Piecewise Linear Time Series Segmentation [PDF]
, 2005 Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality, monotonicity and so on).
Lemire, Daniel
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Time Series Chains: A Novel Tool for Time Series Data Mining [PDF]
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018 Since their introduction over a decade ago, time se-ries motifs have become a fundamental tool for time series analytics, finding diverse uses in dozens of domains. In this work we introduce Time Series Chains, which are related to, but distinct from, time series motifs.
Yan Zhu +3 more
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KDiscShapeNet: A Structure-Aware Time Series Clustering Model with Supervised Contrastive Learning
MathematicsTime series clustering plays a vital role in various analytical and pattern recognition tasks by partitioning structurally similar sequences into semantically coherent groups, thereby facilitating downstream analysis.
Xi Chen +3 more
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Abridged Symbolic Representation of Time Series for Clustering
Acta Universitatis Lodziensis. Folia Oeconomica, 2019 In recent years a couple of methods aimed at time series symbolic representation have been introduced or developed. This activity is mainly justified by practical considerations such memory savings or fast data base searching.
Jerzy Korzeniewski
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