Results 11 to 20 of about 751,571 (292)
Future Internet, 2022 The prediction of marine elements has become increasingly important in the field of marine research. However, time series data in a complex environment vary significantly because they are composed of dynamic changes with multiple mechanisms, causes, and ...
Jiahao Shi +4 more
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Time Series Data Mining: A Case Study With Big Data Analytics Approach
IEEE Access, 2020 Time series data is common in data sets has become one of the focuses of current research. The prediction of time series can be realized through the mining of time series data, so that we can obtain the development process and regularity of social ...
Fang Wang +3 more
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A neural network for mining large volumes of time series data [PDF]
, 2005 Efficiently mining large volumes of time series data is amongst the most challenging problems that are fundamental in many fields such as industrial process monitoring, medical data analysis and business forecasting.
Austin, J., Liang, B.
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Adversarial Attacks on Deep Neural Networks for Time Series Classification [PDF]
, 2019 Time Series Classification (TSC) problems are encountered in many real life data mining tasks ranging from medicine and security to human activity recognition and food safety.
Fawaz, Hassan Ismail +4 more
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Earthquake magnitude prediction based on artificial neural networks: A survey
Croatian Operational Research Review, 2016 The occurrence of earthquakes has been studied from many aspects. Apparently, earthquakes occur without warning and can devastate entire cities in just a few seconds, causing numerous casualties and huge economic loss.
Emilio Florido +3 more
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Data Mining Methods on Time Price Series for Algorithmic Trading Systems [PDF]
Informatică economică, 2019 Buy cheap and sell more expensive. This is the main principle to make a profit on capital markets for hundreds of years. The rule is simple but to apply it in practice has become a very difficult task nowadays, with very high price volatility in the ...
Cristian PAUNA
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Modeling Similarities Among Multi-Dimensional Financial Time Series
IEEE Access, 2018 Pairs trading is one of the most successful strategies for stock investment. The performance of pairs trading heavily depends on modeling how similarity of two paired financial signals.
Dawei Cheng +3 more
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Data Science and Big Data in Energy Forecasting
Energies, 2018 This editorial summarizes the performance of the special issue entitled Data Science and Big Data in Energy Forecasting, which was published at MDPI’s Energies journal.
Francisco Martínez-Álvarez +2 more
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Temporal knowledge discovery in big BAS data for building energy management [PDF]
, 2015 With the advances of information technologies, today's building automation systems (BASs) are capable of managing building operational performance in an efficient and convenient way.
Fan, Cheng +3 more
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Data Mining In Oil Price Time Series Analysis [PDF]
, 2015 This paper sums up the applications of statistic models such as ARCH-family models, cointegration theory and Granger causality etc in oil price time series analysis and introduces the method of data mining combined with statistic knowledge to analysis ...
Cao, Litian +3 more
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