Browsing by Keywords "Time series analysis"
Now showing items 1-14 of 14
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Diverse relevance feedback for time series with autoencoder based summarizations
(IEEE Computer Society, 2018)We present a relevance feedback based browsing methodology using different representations for time series data. The outperforming representation type, e.g., among dual-tree complex wavelet transformation, Fourier, symbolic ... -
Efficiency of the Turkish stock exchange with respect to monetary variables: a cointegration analysis
(Elsevier BV, 1996)In this study, we test the semistrong form of the efficient market hypothesis in Turkey by using the recently developed techniques in time series econometrics, namely unit roots and cointegration. The long run relationship ... -
Environment Kuznets curve for CO2 emissions: a cointegration analysis for China
(Elsevier Ltd, 2009)This study examines the long-run relationship between carbon emissions and energy consumption, income and foreign trade in the case of China by employing time series data of 1975-2005. In particular the study aims at testing ... -
Estimation and forecasting of PM10 air pollution in Ankara via time series and harmonic regressions
(Springer, 2020)In this study, monthly particulate matter (PM10) values in Ankara (39.9334° N, 32.8597° E) from January 1993 to December 2017 are examined. The PM10 are those thoracic particles whose aerodynamic diameter is less than 10 ... -
Evaluating predictive performance of judgemental extrapolations from simulated currency series
(Elsevier, 1999)Judgemental forecasting of exchange rates is critical for financial decision-making. Detailed investigations of the potential effects of time-series characteristics on judgemental currency forecasts demand the use of ... -
Financial earthquakes, aftershocks and scaling in emerging stock markets
(Elsevier BV, 2004)This paper provides evidence for scaling laws in emerging stock markets. Estimated parameters using different definitions of volatility show that the empirical scaling law in every stock market is a power law. This power ... -
Fractional fourier transform in time series prediction
(IEEE, 2022-12-09)Several signal processing tools are integrated into machine learning models for performance and computational cost improvements. Fourier transform (FT) and its variants, which are powerful tools for spectral analysis, are ... -
Generic windowing support for extensible stream processing systems
(John Wiley & Sons Ltd., 2014)Stream processing applications process high volume, continuous feeds from live data sources, employ data-in-motion analytics to analyze these feeds, and produce near real-time insights with low latency. One of the fundamental ... -
Modeling and forecasting of monthly PM2.5 emission of Paris by periodogram-based time series methodology
(Springer, 2021-09-03)In this study, monthly particulate matter (PM2.5) of Paris for the period between January 2000 and December 2019 is investigated by utilizing a periodogram-based time series methodology. The main contribution of the study ... -
Multivariate time series imputation with transformers
(IEEE, 2022-11-25)Processing time series with missing segments is a fundamental challenge that puts obstacles to advanced analysis in various disciplines such as engineering, medicine, and economics. One of the remedies is imputation to ... -
Short time series microarray data analysis and biological annotation
(IEEE, 2008)Significant gene list is the result of microarray data analysis should be explained for the purpose of biological functions. The aim of this study is to extract the biologically related gene clusters over the short time ... -
The US shale oil production, market forces and the US export ban
(Emerald, 2021-07-26)Purpose – The purpose of this paper is to use the novel data from the primary vision to determine the main financial and economic drivers of this revolutionary shale oil production and how these drivers changed after 2016 ... -
Video copy detection using multiple visual cues and MPEG-7 descriptors
(Academic Press, 2010)We propose a video copy detection framework that detects copy segments by fusing the results of three different techniques: facial shot matching, activity subsequence matching, and non-facial shot matching using low-level ... -
A window-based time series feature extraction method
(Elsevier, 2017)This study proposes a robust similarity score-based time series feature extraction method that is termed as Window-based Time series Feature ExtraCtion (WTC). Specifically, WTC generates domain-interpretable results and ...
