Time series data and its sources
Ontology-based discovery of time-series data sources for landslide early warning system
... the time series data, such as the earth observation (EO) and urban environment ...Such data sets are produced by a vari- ety of remote sensing satellites and Internet of things sensors which ...
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Time series databases. Indexing Time Series. Time series data. Time series are ubiquitous
... Fast Time-Series Searching with Scaling and Shifting, Kelvin Kam Wing Chu, Man Hon Wong, ACM Priciples on Databases Systems, 1999, ...Large Time Series Databases, Eamonn Keogh, Kaushik ...
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Imaging time series for the classification of EMI discharge sources
... on time series imaging using the GAF method combined with image-based feature extraction techniques known as LBP and ...world data sets in the presence of different noise types and levels, as well as ...
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Imaging time series for the classification of EMI discharge sources
... discharge sources, and supervise activity within adjacent auxiliary equipment as well as within asset ...and its location [ 33 ...discharge sources along with hearing the complementary audio envelope ...
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Interrupted time series (ITS) analyses
... a series of interventions implemented after each other (not having 3 data-points before and after each of the intervention - but well before the first and after the last ...
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MINING TIME SERIES DATA
... of data, most classic machine learning and data mining algorithms do not work well on time series data due to their unique structure; it is often the case that each individual ...
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Developing a pattern discovery method in time series data and its GPU acceleration
... Dynamic Time Warping (DTW) algorithm is widely used in finding the global alignment of time ...Many time series data mining and analytical problems can be solved by the DTW ...discover ...
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Pattern-sensitive Time-series Anonymization and its Application to Energy-Consumption Data
... 2.1 The Smart Grid The smart grid is an initiative to save energy, based on consumption forecasts, the optimization of energy consumption, fine-grained resource planning and seam- less integration of decentralized ...
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A Big Data Solution for Time-Series Data
... new data is sent via HTTP requests. The data collection layer then accepts and stores the data to Amazon S3 and places processing requests on an Amazon Simple Queue Service (SQS) message ...of ...
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Topological data analysis of time series data
... TOPOLOGICAL DATA ANALYSIS AND TIME SERIES 15 points in Euclidean ...of data is a procedure of inspecting, transforming and modeling data which aims at discovering the vital infor- ...
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An Approximate Markov Model for the Wright–Fisher Diffusion and Its Application to Time Series Data
... genetic data is considered a particularly challenging question in population genetics, since both process may lead to very similar patterns of genetic ...multiple time points. Such data are common in ...
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TIME SERIES ANALYSIS ON EXPORTS AND ITS DETERMINANTS
... Once the cointegration is confirmed to exist between variables, then the third step entails the construction of error correction mechanism to model dynamic relationship. The purpose of the error correction model is to ...
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Time series modelling of birth data
... birth time series with other variable time series may not significantly improve the result of birth ...birth series forecast their future values may be achieved by comparing birth ...
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Time Series Analysis of Aviation Data
... • Construct a linear regression model without seasonal factors, and plot the correlogram of the model’s residual data. • Construct a linear regression model with seasonal factors, and[r] ...
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The Time Series Analysis of Compositional Data
... of time series ...using time series techniques on such data is to apply an additive logistic transformation to the data and then to model the resulting series using vector ...
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Clustering of Time-Series Data Streams
... a time-series whole clustering system that in- crementally constructs a tree-like hierarchy of ...between time-series over a data ...corresponding time-series in a ...
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Anomaly Detection on Time Series Data
... the time series domain finds extensive application in monitoring system status, mal-ware/spam detection, credit-card fraud ...variate time-series and proposed a novel method using Dictionary ...
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Big Data Time Series Analysis
... sensor data. Sensor data is predominantly a time ...big data platform, Apache Hive, with one of the most powerful open source statistical tool, ...
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Time series analysis of ozone data
... Guthrey, Delparde Raleigh, "Time series analysis of ozone data" (1998). Theses Digitization Project. 1788. https://scholarworks.lib.csusb.edu/etd-project/1788 This Project is brought to you for free ...
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On time series data and optimal parameters
... Forecasting using time series (TS) models are often based on linear regression or methods using various smoothing techniques. When estimating the parameters used in smoothing techniques, it has become a ...
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