Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 536 for “"Time series data"”.
-
Mining time-series data using discriminative subsequences
Time-series data is abundant, and must be analysed to extract usable knowledge. Local-shape-based methods offer improved performance for many problems, and a comprehensible method of understanding both data and models. For time-series classification, we transform the data into a local-shape space …
-
Perturbation based privacy for time-series data
… leads to unprecedented opportunities for sensory data collection and sharing. The privacy challenges in these applications arise naturally as personal data are shared among untrusted entities in the community. This dissertation develops mathematical foundations for optimal perturbation of both …
-
Synthesizing Tabular Time Series Data using Transformers
Using synthetic data in place of real data can come with numerous benefits, such as the protection of privacy. However, synthesizing tabular data is difficult, since it is heterogeneous and might contain relationships between its columns and between its rows. While there has been much work …
-
BioSignalML: An abstract model for physiological time-series data
… BioSignalML, for describing physiological time-series data, in order to address some of the challenges created by the diverse range of formats used for biosignal storage and exchange. I argue that the main cause of difficulties for researchers, wanting to share and exchange biosignal data, …
-
Neural Decomposition of Time-Series Data for Effective Generalization
… technique for the analysis and extrapolation of time-series data called Neural Decomposition (ND). Units with a sinusoidal activation function are used to perform a Fourier-like decomposition of training samples into a sum of sinusoids, augmented by units with nonperiodic activation functions to …
-
Adaptive Fourier Analysis For Unequally-Spaced Time Series Data
… and wavelet analysis have often been used in time series analysis. Fourier analysis can be used to detect periodic components that have sinusoidal shape; however, it might be misleading when the periodic components are not sinusoidal. Walsh-Fourier analysis is suitable for revealing the …
-
EpiViewer: An Epidemiological Application For Exploring Time Series Data
Visualization plays an important role in epidemic time series analysis and forecasting. Viewing time series data plotted on a graph can help researchers identify anomalies and unexpected trends that could be overlooked if the data were reviewed in tabular form. However,there are challenges in …
-
Microarray time-series data clustering via gene expression profile alignment
Clustering gene expression data given In terms of time-series is a challenging problem that imposes its own particular constraints, namely, exchanging two or more time points is not possible as it would deliver quite different results and would lead to erroneous biological conclusions. In this …
-
STATISTICAL MODELING FOR COMPLEX FUNCTIONAL AND NETWORK TIME SERIES DATA
Functional and network time series data have been available, which provide richer information that brings opportunities and potentials to solve scientific problems. On the other hand, the complex structure presents challenges to conventional statistical analytical tools in terms of estimation and …
-
Feature eXtraction : a tool for analyzing sparse time series data
… methodology for qualitative analysis of sparse time series. Information about the changes of the signal level within a time series and the number of distinguishable signal levels is extracted and condensed into a pattern string. The qualitative analysis of a time series can be done at several …
-
A study of kNN using ICU multivariate time series data
… (Intensive Care Unit) medical records. The ICU data contains medical records collected during the patients’ first 48 hours stay at the ICU. The challenge of this research is the processing of ICU multivariate and high dimensional time-series data collected at irregular time periods. To handle …
-
Automated Machine Learning for Predicting Trends in Time Series Data
… TreNet was proposed for predicting trends in time series data. While TreNet was shown to have superior performance to a number of alternative approaches, the validation method used did not take into account the sequential nature of time series data. It also did not deal with model update and …
-
Testing for bubbles in time series data using long historical series
… existence of these famous episodes for the first time using recently developed econometric tests. The origination and collapse dates for these identified episodes are coincided with the traditional view of famous bubbles. This thesis not only tests for the existence of bubbles but also seeks to …
-
Leveraging genetic time series data to improve detection of natural selection
… of detecting natural selection from genetic time series data. This dissertation is motivated by genomic sequence data from populations of the Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) sampled temporally during the early stages of infection from the blood of multiple pigs. An …
-
On geometric & topological methods for analysis of biophysical time series data
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms
-
Do the time-wrap: continuous alignment of gene expression time-series data
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
-
Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering
… Special classes of such processes deal with time series of sparse data. Studies in such cases focus in the analysis, construction and prediction in parametric models. Here, we assume several non-linear time series with additive noise components, and the model fitting is proposed in two …
Page 1 of 27