Results 21 to 30 of about 80,307 (206)
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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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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An overview of interactive visual data mining techniques for knowledge discovery [PDF]
, 2013 n the past decade, the analysis of data has faced the challenge of dealing with very large and complex datasets and the real-time generation of data. Technologies to store and access these complex and large datasets are in place.
Gaber, Mohamed Medhat +11 more
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, 2022 S.255-269In this paper, various enhanced sales forecast methodologies and models for the automobile market are presented. The methods used deliver highly accurate predictions while maintaining the ability to explain the underlying model at the same time.
Hülsmann, M. +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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Comparing Posturographic Time Series Through Events Detection
, 2008 The comparison of two time series and the extraction of subsequences that are common to the two is a complex data mining problem. Many existing techniques, like the Discrete Fourier Transform (DFT), offer solutions for comparing two whole time series ...
Caraça-Valente Hernández, Juan Pedro +9 more
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Power system transient security assessment based on multi-channel time series data mining
Energy Reports, 2022 In the context of the clean energy revolution and the high penetration of renewables and power electronics, data-driven Transient Security Assessment (TSA) models can significantly reduce the computational burden of power system TSA and adapt to the ...
Kangkang Wang +5 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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Ubiquitous data stream mining [PDF]
, 2004 The dissemination of data stream systems, wireless networks and mobile devices motivates the need for an efficient data analysis tool capable of gaining insights about these continuous data streams.
Zaslavsky, Arkady +5 more
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Time-Series Data Mining:A Review
, 2015 Data mining refers to the extraction of knowledge by analyzing the data from different perspectives and accumulates them to form useful information which could help the decision makers to take appropriate decisions. Classification and clustering has been
Patet, Jignasa N.; Department of Information Technology Shri SÊad Vidya Mandal Institute of Technology Bharuch 392-001, Gujarat, India +1 more
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