Results 31 to 40 of about 80,307 (206)
A Recent-Pattern Biased Dimension-Reduction Framework for Time Series Data
Journal of Advances in Information Technology, 2010 High-dimensional time series data need dimension-reduction strategies to improve the efficiency of computation and indexing. In this paper, we present a dimension-reduction framework for time series.
Santi Phithakkitnukoon, Carlo Ratti
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Flood prediction with time series data mining: Systematic review
Natural Hazards ResearchThe global community is continuously working to minimize the impact of disasters through various actions, including earth surveying. For example, flood-prone areas must be identified appropriately, predicted, understood, and socialized.
Dimara Kusuma Hakim +2 more
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Evaluating the Privacy and Utility of Time-Series Data Perturbation Algorithms
Mathematics, 2023 Data collected from sensor-rich systems may reveal user-related patterns that represent private information. Sensitive patterns from time-series data can be protected using diverse perturbation methods; however, choosing the method that provides the ...
Adrian-Silviu Roman
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A data mining framework for time series estimation
Journal of Biomedical Informatics, 2010 Time series estimation techniques are usually employed in biomedical research to derive variables less accessible from a set of related and more accessible variables. These techniques are traditionally built from systems modeling approaches including simulation, blind decovolution, and state estimation.
Xiao Hu 0002 +4 more
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A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation
CAAI Transactions on Intelligence TechnologyThe analysis of spatiotemporal data is essential across many fields, such as transportation, meteorology and healthcare. Data gathered in practical applications often suffer from incompleteness due to device failures and network disruptions ...
Yakun Chen +7 more
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Time series forecasting in the artificial intelligence milieu
Journal of Economic and Financial Sciences, 2022 No abstract available.
Ilse Botha
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Time-series prediction of shellfish farm closure: A comparison of alternatives
Information Processing in Agriculture, 2014 Shellfish farms are closed for harvest when microbial pollutants are present. Such pollutants are typically present in rainfall runoff from various land uses in catchments.
Ashfaqur Rahman +5 more
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DATA MINING WORKSPACE AS AN OPTIMIZATION PREDICTION TECHNIQUE FOR SOLVING TRANSPORT PROBLEMS [PDF]
Transport Problems, 2016 This article addresses the study related to forecasting with an actual high-speed decision making under careful modelling of time series data. The study uses data-mining modelling for algorithmic optimization of transport goals. Our finding brings to the
Anastasiia KUPTCOVA +3 more
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Cooperation between expert knowledge and data mining discovered knowledge: Lessons learned
, 2012 Expert systems are built from knowledge traditionally elicited from the human expert. It is precisely knowledge elicitation from the expert that is the bottleneck in expert system construction. On the other hand, a data mining system, which automatically
Caraça-Valente Hernández, Juan Pedro +3 more
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Jurnal Teknik Industri, 2020 Improving accuracy of wind power prediction is important to maintain power system stability. However, wind power prediction is difficult due to randomness and high volatility characteristics.
Irene Karijadi, Ig. Jaka Mulyana
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