Results 11 to 20 of about 751,199 (239)
Time Series Symbolization Method for the Data Mining K-Means Algorithm [PDF]
Discrete Dynamics in Nature and Society, 2023 Time series is a data type frequently encountered in data analysis. With the current depth and breadth of the data and the improvement in computer processing capabilities, the dimensionality and the complexity of time series are getting higher and higher.
Guisheng Wang
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Carbon footprint forecasting using time series data mining methods: the case of Turkey. [PDF]
Environ Sci Pollut Res Int, 2021 Akyol M, Uçar E.
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A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting [PDF]
Energies, 2015 Data mining has become an essential tool during the last decade to analyze large sets of data. The variety of techniques it includes and the successful results obtained in many application fields, make this family of approaches powerful and widely used ...
Francisco Martínez-Álvarez +3 more
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Data Mining Smart Energy Time Series [PDF]
Database Systems Journal, 2015 With the advent of smart metering technology the amount of energy data will increase significantly and utilities industry will have to face another big challenge - to find relationships within time-series data and even more - to analyze such huge numbers
Janina POPEANGA
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Recent Advances in Mining Time Series Data [PDF]
, 2005 Much of the world’s supply of data is in the form of time series. Furthermore, as we shall see, many types of data can be meaningfully converted into ”time series”, including text, DNA, video, images etc. The last decade has seen an explosion of interest in mining time series data from the academic community.
Eamonn Keogh
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A Comprehensive Survey of Data Mining Techniques on Time Series Data for Rainfall Prediction
Journal of ICT Research and Applications, 2017 Time series data available in huge amounts can be used in decision-making. Such time series data can be converted into information to be used for forecasting.
Neelam Mishra +3 more
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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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International Journal of Business Analytics, 2014 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. A plethora of regularly collected information can be ordered using an appropriate time interval. The data would thus be developed into a time series.
Daniel Hebert +3 more
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Time Series Data Mining for Sport Data: a Review
International Journal of Computer Science in Sport, 2022 Time series data mining deals with extracting useful and meaningful information from time series data. Recently, the increasing use of temporal data, in particular time series data, has received much attention in the literature. Since most of sports data
Komitova Rumena +3 more
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ACM Computing Surveys, 2012 In almost every scientific field, measurements are performed over time. These observations lead to a collection of organized data called time series . The purpose of time-series data mining is to try to extract all meaningful knowledge from the shape of data.
Esling, Philippe, Agon, Carlos
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