Results 11 to 20 of about 36,481,271 (303)
A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting
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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A Comprehensive Survey of Data Mining Techniques on Time Series Data for Rainfall Prediction [PDF]
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 Data Mining:A Review [PDF]
, 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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Comparing Posturographic Time Series Through Events Detection [PDF]
, 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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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 0014 +3 more
openaire +2 more sources
Ontology of core data mining entities [PDF]
, 2014 In this article, we present OntoDM-core, an ontology of core data mining entities. OntoDM-core defines themost essential datamining entities in a three-layered ontological structure comprising of a specification, an implementation and an application ...
Dzeroski, S, Soldatova, L, Panov, P
core +1 more source
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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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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Resource-aware mining of data streams [PDF]
, 2005 Mining data streams has raised a number of research challenges for the data mining community. These challenges include the limitations of computational resources, especially because mining streams of data most likely be done on a mobile device with ...
Gaber, Mohamed Medhat +11 more
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