Results 51 to 60 of about 751,199 (239)
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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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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Clustering Macroeconomic Time Series
, 2017 The data mining technique of time series clustering is well established in many fields. However, as an unsupervised learning method, it requires making choices that are nontrivially influenced by the nature of the data involved.
Augustyński, Iwo +1 more
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Towards optimal symbolization for time series comparisons [PDF]
, 2013 The abundance and value of mining large time series data sets has long been acknowledged. Ubiquitous in fields ranging from astronomy, biology and web science the size and number of these datasets continues to increase, a situation exacerbated by the ...
Barrack, Duncan +2 more
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Spatiotemporal Data Mining Problems and Methods
Analytics, 2023 Many scientific fields show great interest in the extraction and processing of spatiotemporal data, such as medicine with an emphasis on epidemiology and neurology, geology, social sciences, meteorology, and a great interest is also observed in the study
Eleftheria Koutsaki +2 more
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Time Series Data Mining: A Retail Application Using SAS Enterprise Miner [PDF]
, 2013 Modern technologies have allowed for the amassment of data at a rate never encountered before. Organizations are now able to routinely collect and process massive volumes of data.
Hebert, Daniel
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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.
Hu, Xiao +4 more
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AlgorithmsWith the rise in physiological data sampled from wearable devices, efficient methods must be developed to encode temporal information for the comparison of time series arising from uncontrolled monitoring.
Jamison H. Burks +4 more
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IEEE Access, 2019 Deep Neural Networks (DNNs) has been dominating recent data mining related tasks with better performances. This article proposes a hybrid approach that exploits the unique predictive power of DNN and classical time series regression models, including ...
Shancheng Jiang +7 more
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Data Mining Peramalan Konsumsi Listrik dengan Pendekatan Cluster Time Series sebagai Preprocessing [PDF]
, 2016 Kondisi big data dan data time series memiliki permasalahan tersendiri didalam mengolah suatu data. Terle-bih lagi data tersebut juga multivariabel. Salah satu permasa-lahan yang terjadi adalah ketika proses identifikasi model yang sesuai untuk tiap ...
Fithriasari, K. (Kartika) +2 more
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