short time series data
Forecasting Short Time Series with Missing Data by Means of Energy Associated to Series
... missing data poses a difficulty to the analysis and decision making processes which depend on this data, requiring methods of estimation which are accurate and ...from data deletion to methods ...
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1. A novel approach to reduce the noise of time series data using predictive weighted moving average
... and short term planning based on predictions of time series data, this is the demand of the modern research to provide significant and promising methods for time series ...
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Contextualizing time series data: quantification of short term regional variability in the San Pedro Channel using high resolution in situ glider data
... 21.5 % to 32.7 %. More importantly, the structured PCA al- lowed for more meaningful separation of the glider profiles into oceanographically relevant states, allowing us to bet- ter understand and quantify the overall ...
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Weighted Time Variant Slide Fuzzy Time Series Models for Short Term Load Forecasting
... improve short-term load forecasting using an adaptive algorithm to adjust the analysis win- dow automatically in the training phase of weighted his- torical data and heuristic rules for forecasting in the ...
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Research on Cassandra Data Compaction Strategies for Time-Series Data
... of data to be produced and consumed throughout the world every moment, among which, the time-series data is a special ...instant data, lasting a very short period of time, ...
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AI based Short Term Electric Time Series Forecasting
... electricity data has been collected for India from 01 April, 2012 to 31 July, 2018 of hydro generation (in million units) of a power plant, Energy Met (in million units) and peak demand (in mega watt) [19] to ...
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DEFAULT RATE IN THE CZECH REPUBLIC DEPENDING ON SELECTED MACROECONOMIC INDICATORS
... of short-term relationships (Granger causality). We test whether one series acts on the other in Granger’s sense for the time series pairs (Y, BRENT), (Y, GDP), (Y, INE), (Y, ...X ...
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Time Series Analysis and Forecast of GDP in Ethiopia: Evidence from Ethiopian Data
... using time series data and to forecast the GDP for ...The data used are yearly observations from 1967 to s of GDP of Ethiopia using time series ...the series were ...
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Time series analyses of consumption grouped data
... panel data, we can only study dynamic models by using grouped ...relatively short genuine panel might be sufficient to estimate a model which requires big T asymptotics if repeated panels are available: one ...
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Design of experiment on sustainable daily air surface temperature prediction in Cameron Highlands, Malaysia
... This study also, to investigate the interaction between air surface temperature with others climatologically parameters such as humidity, sunshine, total rain etc. in Cameron Highlands. Another objective of this study ...
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The Utility of Data Transformation for Alignment, de novo Assembly and Classification of Short Read Virus Sequences
... of short reads, used time series and digital signal processing data transformation techniques.. Figure 190.[r] ...
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Using Data Mining with Time Series Data in Short Term Stocks Prediction: A Literature Review
... “A time series is a set of regular time-ordered observations of a quantitative characteristic of an individual or collective phenomenon taken at suc- cessive, in most cases equidistant, ...
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Censored time series analysis with autoregressive moving average models
... Time series measurements are often observed with data irregularities, e.g. observations with a detection limit. For instance, a monitoring device usually has a detection limit and it records the ...
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A firefly optimized feature selection in multiple time series clinical data with merging statistical measures and wavelet frequency spectrum for hcc recurrence prediction
... Clinical data mining process helps the clinicians to provide diagnosis, therapy and prognosis of different ...measurement data instead of using single measurement ...measurement data are gathered ...
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Analysis of Time Series Data Mixed With Text
... All data points on Nikkei 225 above 20000 in figure 3 correspond to a rate over ...of data points corresponds to a rate below 80 is having a Nikkei 225 below ...
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Nonlinearity Tests For Bilinear Time Series Data
... Figures 2(a) and 2(b) show the occurrence of several spikes, otherwise the plots of rainfall data are regular. On the other hand, there are a lot of spikes with high amplitudes seen in Figures 2(c) and 2(d), which ...
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A Literature Review on Big Data and Time Series
... big data. Nowadays best sources for big data are social networks, media platforms, mobile phones, different types of loyalty cards and they give excellent benefit to ...analyze data in a proper ...
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Similarity Search in Time Series Data Using Time Weighted Slopes
... In this paper, we present an approach for similarity search in time series data which is an improvement over [16]. The technique proposed in this paper is also based on the concept that similar ...
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Short run and Long run causality between electricity consumption and economic growth in a small open economy
... The aim of this paper is to investigate the causal relationship between electricity consumption and GDP growth for the kingdom of Bahrain during the period 1980 – 2008. By performing an error-correction model, our ...
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Time series clustering in large data sets
... describing time series in a simplistic way evaluating stan- dard deviations for separated parts of ...between time series and fi nally conclusions for further research are ...
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