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You searched for subject:(Time Series Prediction). Showing records 1 – 30 of 161 total matches.

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NSYSU

1. Kau, Wei-Hao. Time series prediction using LSTM Network Models.

Degree: Master, Applied Mathematics, 2018, NSYSU

 As recent computing hardware technology has undergone rapid and significant advances, complex methods that require a lot of computing power have been realized, which has… (more)

Subjects/Keywords: prediction; LSTM; time series model

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APA (6th Edition):

Kau, W. (2018). Time series prediction using LSTM Network Models. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0612118-160809

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kau, Wei-Hao. “Time series prediction using LSTM Network Models.” 2018. Thesis, NSYSU. Accessed July 16, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0612118-160809.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kau, Wei-Hao. “Time series prediction using LSTM Network Models.” 2018. Web. 16 Jul 2019.

Vancouver:

Kau W. Time series prediction using LSTM Network Models. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 Jul 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0612118-160809.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kau W. Time series prediction using LSTM Network Models. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0612118-160809

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Hussain, Shahbaz. Finding Correlation and Predicting System Behavior in Large IT Infrastructure.

Degree: The Institute of Technology, 2014, Linköping UniversityLinköping University

  Modern IT development infrastructure has a large number of components that must be monitored, for instance servers and network components. Various system-metrics (build time,… (more)

Subjects/Keywords: Correlation; Prediction; Time series; PCA; Automation

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APA (6th Edition):

Hussain, S. (2014). Finding Correlation and Predicting System Behavior in Large IT Infrastructure. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112850

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hussain, Shahbaz. “Finding Correlation and Predicting System Behavior in Large IT Infrastructure.” 2014. Thesis, Linköping UniversityLinköping University. Accessed July 16, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112850.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hussain, Shahbaz. “Finding Correlation and Predicting System Behavior in Large IT Infrastructure.” 2014. Web. 16 Jul 2019.

Vancouver:

Hussain S. Finding Correlation and Predicting System Behavior in Large IT Infrastructure. [Internet] [Thesis]. Linköping UniversityLinköping University; 2014. [cited 2019 Jul 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112850.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hussain S. Finding Correlation and Predicting System Behavior in Large IT Infrastructure. [Thesis]. Linköping UniversityLinköping University; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112850

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

3. -5892-1089. Temporal modeling of crowd work quality for quality assurance in crowdsourcing.

Degree: Information, 2015, University of Texas – Austin

 While crowdsourcing offers potential traction on data collection at scale, it also poses new and significant quality concerns. Beyond the obvious issue of any new… (more)

Subjects/Keywords: Crowdsourcing; Quality assurance; Time-series; Prediction; Measurement

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APA (6th Edition):

-5892-1089. (2015). Temporal modeling of crowd work quality for quality assurance in crowdsourcing. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/33261

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-5892-1089. “Temporal modeling of crowd work quality for quality assurance in crowdsourcing.” 2015. Thesis, University of Texas – Austin. Accessed July 16, 2019. http://hdl.handle.net/2152/33261.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-5892-1089. “Temporal modeling of crowd work quality for quality assurance in crowdsourcing.” 2015. Web. 16 Jul 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-5892-1089. Temporal modeling of crowd work quality for quality assurance in crowdsourcing. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2152/33261.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-5892-1089. Temporal modeling of crowd work quality for quality assurance in crowdsourcing. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/33261

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

4. Hsu, Chun-Chieh. The Department Score Prediction and Analysis of the College Entrance Examination.

Degree: Master, Computer Science and Engineering, 2014, NSYSU

Prediction systems for college entrance examination (CEE) are used to give some recommendations for students to choose their ideal department. In Taiwan, more than 40%… (more)

Subjects/Keywords: prediction; fuzzy time series; precision; recall; college entrance examination; prediction system

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APA (6th Edition):

Hsu, C. (2014). The Department Score Prediction and Analysis of the College Entrance Examination. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719114-223232

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hsu, Chun-Chieh. “The Department Score Prediction and Analysis of the College Entrance Examination.” 2014. Thesis, NSYSU. Accessed July 16, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719114-223232.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hsu, Chun-Chieh. “The Department Score Prediction and Analysis of the College Entrance Examination.” 2014. Web. 16 Jul 2019.

Vancouver:

Hsu C. The Department Score Prediction and Analysis of the College Entrance Examination. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Jul 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719114-223232.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hsu C. The Department Score Prediction and Analysis of the College Entrance Examination. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719114-223232

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. Lamichhane, Rajan. Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering.

Degree: PhD, Mathematics and Statistics, 2013, Old Dominion University

  Stochastic processes have applications in many areas such as oceanography and engineering. Special classes of such processes deal with time series of sparse data.… (more)

Subjects/Keywords: Bootstrap filtering; Breakpoints detection; Time series prediction; Applied Mathematics; Longitudinal Data Analysis and Time Series

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lamichhane, R. (2013). Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering. (Doctoral Dissertation). Old Dominion University. Retrieved from 9781303512544 ; https://digitalcommons.odu.edu/mathstat_etds/22

Chicago Manual of Style (16th Edition):

Lamichhane, Rajan. “Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering.” 2013. Doctoral Dissertation, Old Dominion University. Accessed July 16, 2019. 9781303512544 ; https://digitalcommons.odu.edu/mathstat_etds/22.

MLA Handbook (7th Edition):

Lamichhane, Rajan. “Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering.” 2013. Web. 16 Jul 2019.

Vancouver:

Lamichhane R. Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering. [Internet] [Doctoral dissertation]. Old Dominion University; 2013. [cited 2019 Jul 16]. Available from: 9781303512544 ; https://digitalcommons.odu.edu/mathstat_etds/22.

Council of Science Editors:

Lamichhane R. Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering. [Doctoral Dissertation]. Old Dominion University; 2013. Available from: 9781303512544 ; https://digitalcommons.odu.edu/mathstat_etds/22


Australian National University

6. Yu, Honglin. Understanding the Popularity Evolution of Online Media: A Case Study on YouTube Videos .

Degree: 2015, Australian National University

 Understanding the popularity evolution of online media has become an important research topic. There are a number of key questions which have high scientific significance… (more)

Subjects/Keywords: Online Attention analysis; YouTube viewcount prediction; YouTube Twitter interaction; time series segmentation; time series clustering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yu, H. (2015). Understanding the Popularity Evolution of Online Media: A Case Study on YouTube Videos . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/100568

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yu, Honglin. “Understanding the Popularity Evolution of Online Media: A Case Study on YouTube Videos .” 2015. Thesis, Australian National University. Accessed July 16, 2019. http://hdl.handle.net/1885/100568.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yu, Honglin. “Understanding the Popularity Evolution of Online Media: A Case Study on YouTube Videos .” 2015. Web. 16 Jul 2019.

Vancouver:

Yu H. Understanding the Popularity Evolution of Online Media: A Case Study on YouTube Videos . [Internet] [Thesis]. Australian National University; 2015. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/1885/100568.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu H. Understanding the Popularity Evolution of Online Media: A Case Study on YouTube Videos . [Thesis]. Australian National University; 2015. Available from: http://hdl.handle.net/1885/100568

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Jorge Aikes Junior. Estudo da influÃncia de diversas medidas de similaridade na previsÃo de sÃries temporais utilizando o algoritmo KNN-TSP.

Degree: 2012, Universidade Estadual do Oeste do Parana

SÃries temporais podem ser entendidas como qualquer conjunto de observaÃÃes que se encontram ordenadas no tempo. Dentre as vÃrias tarefas possÃveis com dados temporais, uma… (more)

Subjects/Keywords: SISTEMAS DINAMICOS; sÃries temporais; previsÃo; k-Nearest Neighbor - Time Series Prediction; time series; forecasting; k-Nearest Neighbor - Time Series Prediction, k-Nearest Neighbor; k-Nearest Neighbor

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APA (6th Edition):

Junior, J. A. (2012). Estudo da influÃncia de diversas medidas de similaridade na previsÃo de sÃries temporais utilizando o algoritmo KNN-TSP. (Thesis). Universidade Estadual do Oeste do Parana. Retrieved from http://tede.unioeste.br/tede//tde_busca/arquivo.php?codArquivo=909

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Junior, Jorge Aikes. “Estudo da influÃncia de diversas medidas de similaridade na previsÃo de sÃries temporais utilizando o algoritmo KNN-TSP.” 2012. Thesis, Universidade Estadual do Oeste do Parana. Accessed July 16, 2019. http://tede.unioeste.br/tede//tde_busca/arquivo.php?codArquivo=909.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Junior, Jorge Aikes. “Estudo da influÃncia de diversas medidas de similaridade na previsÃo de sÃries temporais utilizando o algoritmo KNN-TSP.” 2012. Web. 16 Jul 2019.

Vancouver:

Junior JA. Estudo da influÃncia de diversas medidas de similaridade na previsÃo de sÃries temporais utilizando o algoritmo KNN-TSP. [Internet] [Thesis]. Universidade Estadual do Oeste do Parana; 2012. [cited 2019 Jul 16]. Available from: http://tede.unioeste.br/tede//tde_busca/arquivo.php?codArquivo=909.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Junior JA. Estudo da influÃncia de diversas medidas de similaridade na previsÃo de sÃries temporais utilizando o algoritmo KNN-TSP. [Thesis]. Universidade Estadual do Oeste do Parana; 2012. Available from: http://tede.unioeste.br/tede//tde_busca/arquivo.php?codArquivo=909

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

8. Huang, Hsin-Ching. Time Series forecast of Company Revenue Trend Using Financial News.

Degree: Master, Information Management, 2016, NSYSU

 The application nowadays of text mining are very extensive, and our study focuses on the field of finance. Most recent text mining studies of finance… (more)

Subjects/Keywords: sentiment analyze; financial news; revenue prediction; time series; ARIMA model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Huang, H. (2016). Time Series forecast of Company Revenue Trend Using Financial News. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807116-200608

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Hsin-Ching. “Time Series forecast of Company Revenue Trend Using Financial News.” 2016. Thesis, NSYSU. Accessed July 16, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807116-200608.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Hsin-Ching. “Time Series forecast of Company Revenue Trend Using Financial News.” 2016. Web. 16 Jul 2019.

Vancouver:

Huang H. Time Series forecast of Company Revenue Trend Using Financial News. [Internet] [Thesis]. NSYSU; 2016. [cited 2019 Jul 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807116-200608.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang H. Time Series forecast of Company Revenue Trend Using Financial News. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807116-200608

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

9. Ferguson, David Edward. The development of a self-adaptive prediction and control system.

Degree: MS, Industrial engineering, 1971, Georgia Tech

Subjects/Keywords: Time-series analysis; Prediction theory

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APA (6th Edition):

Ferguson, D. E. (1971). The development of a self-adaptive prediction and control system. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/30678

Chicago Manual of Style (16th Edition):

Ferguson, David Edward. “The development of a self-adaptive prediction and control system.” 1971. Masters Thesis, Georgia Tech. Accessed July 16, 2019. http://hdl.handle.net/1853/30678.

MLA Handbook (7th Edition):

Ferguson, David Edward. “The development of a self-adaptive prediction and control system.” 1971. Web. 16 Jul 2019.

Vancouver:

Ferguson DE. The development of a self-adaptive prediction and control system. [Internet] [Masters thesis]. Georgia Tech; 1971. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/1853/30678.

Council of Science Editors:

Ferguson DE. The development of a self-adaptive prediction and control system. [Masters Thesis]. Georgia Tech; 1971. Available from: http://hdl.handle.net/1853/30678


Dublin City University

10. Bailey, Ken. A combined wavelet and ARIMA approach to predicting financial time series.

Degree: School of Computing, 2017, Dublin City University

 Agri-data analysis is growing rapidly with many parts of the agri-sector using analytics as part of their decision making process. In Ireland, the agri-food sector… (more)

Subjects/Keywords: Machine learning; Wavelet; ARIMA; Time Series Prediction; MODWT

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APA (6th Edition):

Bailey, K. (2017). A combined wavelet and ARIMA approach to predicting financial time series. (Thesis). Dublin City University. Retrieved from http://doras.dcu.ie/22001/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bailey, Ken. “A combined wavelet and ARIMA approach to predicting financial time series.” 2017. Thesis, Dublin City University. Accessed July 16, 2019. http://doras.dcu.ie/22001/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bailey, Ken. “A combined wavelet and ARIMA approach to predicting financial time series.” 2017. Web. 16 Jul 2019.

Vancouver:

Bailey K. A combined wavelet and ARIMA approach to predicting financial time series. [Internet] [Thesis]. Dublin City University; 2017. [cited 2019 Jul 16]. Available from: http://doras.dcu.ie/22001/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bailey K. A combined wavelet and ARIMA approach to predicting financial time series. [Thesis]. Dublin City University; 2017. Available from: http://doras.dcu.ie/22001/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Sydney

11. Wong, Wai Ho. Predicting Demand in Cloud Computing Environments .

Degree: 2013, University of Sydney

 Cloud computing is a new computing paradigm that enables elastic on-demand pay-per-use access to shared computational resources. However, there are current limitations on the elasticity… (more)

Subjects/Keywords: time-series; forecasting; prediction; cloud computing; boosting; ensemble learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wong, W. H. (2013). Predicting Demand in Cloud Computing Environments . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/9497

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wong, Wai Ho. “Predicting Demand in Cloud Computing Environments .” 2013. Thesis, University of Sydney. Accessed July 16, 2019. http://hdl.handle.net/2123/9497.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wong, Wai Ho. “Predicting Demand in Cloud Computing Environments .” 2013. Web. 16 Jul 2019.

Vancouver:

Wong WH. Predicting Demand in Cloud Computing Environments . [Internet] [Thesis]. University of Sydney; 2013. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2123/9497.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wong WH. Predicting Demand in Cloud Computing Environments . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/9497

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

12. Bäckström, Sandra. Forecasting Customer Traffic at Postal Service Points.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

The goal of this thesis is to be able to predict customer traffic at postal service points. The expectation is that when customers are… (more)

Subjects/Keywords: time series prediction; LSTM; MLP; SVR; ARIMA; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bäckström, S. (2018). Forecasting Customer Traffic at Postal Service Points. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240270

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bäckström, Sandra. “Forecasting Customer Traffic at Postal Service Points.” 2018. Thesis, KTH. Accessed July 16, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240270.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bäckström, Sandra. “Forecasting Customer Traffic at Postal Service Points.” 2018. Web. 16 Jul 2019.

Vancouver:

Bäckström S. Forecasting Customer Traffic at Postal Service Points. [Internet] [Thesis]. KTH; 2018. [cited 2019 Jul 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240270.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bäckström S. Forecasting Customer Traffic at Postal Service Points. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240270

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Sydney

13. Li, Lei. Rolling Window Time Series Prediction Using MapReduce .

Degree: 2014, University of Sydney

Prediction of time series data is an important application in many domains. Despite their inherent advantages, traditional databases and MapReduce methodology are not ideally suited… (more)

Subjects/Keywords: MapReduce; Hadoop; Parallel Computing; Rolling Window Time Series Prediction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, L. (2014). Rolling Window Time Series Prediction Using MapReduce . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/13552

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Lei. “Rolling Window Time Series Prediction Using MapReduce .” 2014. Thesis, University of Sydney. Accessed July 16, 2019. http://hdl.handle.net/2123/13552.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Lei. “Rolling Window Time Series Prediction Using MapReduce .” 2014. Web. 16 Jul 2019.

Vancouver:

Li L. Rolling Window Time Series Prediction Using MapReduce . [Internet] [Thesis]. University of Sydney; 2014. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2123/13552.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li L. Rolling Window Time Series Prediction Using MapReduce . [Thesis]. University of Sydney; 2014. Available from: http://hdl.handle.net/2123/13552

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of New Orleans

14. Kattekola, Sravanthi. Weather Radar image Based Forecasting using Joint Series Prediction.

Degree: MS, Electrical Engineering, 2010, University of New Orleans

  Accurate rainfall forecasting using weather radar imagery has always been a crucial and predominant task in the field of meteorology [1], [2], [3] and… (more)

Subjects/Keywords: Radial Basis Function Neural Network; Forecasting; Time Series Prediction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kattekola, S. (2010). Weather Radar image Based Forecasting using Joint Series Prediction. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/1238

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kattekola, Sravanthi. “Weather Radar image Based Forecasting using Joint Series Prediction.” 2010. Thesis, University of New Orleans. Accessed July 16, 2019. https://scholarworks.uno.edu/td/1238.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kattekola, Sravanthi. “Weather Radar image Based Forecasting using Joint Series Prediction.” 2010. Web. 16 Jul 2019.

Vancouver:

Kattekola S. Weather Radar image Based Forecasting using Joint Series Prediction. [Internet] [Thesis]. University of New Orleans; 2010. [cited 2019 Jul 16]. Available from: https://scholarworks.uno.edu/td/1238.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kattekola S. Weather Radar image Based Forecasting using Joint Series Prediction. [Thesis]. University of New Orleans; 2010. Available from: https://scholarworks.uno.edu/td/1238

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of British Columbia

15. Freeland, R. Keith. Statistical analysis of discrete time series with application to the analysis of workers' compensation claims data .

Degree: 1998, University of British Columbia

 This thesis examines the statistical properties of the Poisson AR(1) model of Al-Osh and Alzaid (1987) and McKenzie (1988). The analysis includes forecasting, estimation, testing… (more)

Subjects/Keywords: Time-series analysis.; Prediction theory.

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APA (6th Edition):

Freeland, R. K. (1998). Statistical analysis of discrete time series with application to the analysis of workers' compensation claims data . (Thesis). University of British Columbia. Retrieved from http://hdl.handle.net/2429/8500

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Freeland, R Keith. “Statistical analysis of discrete time series with application to the analysis of workers' compensation claims data .” 1998. Thesis, University of British Columbia. Accessed July 16, 2019. http://hdl.handle.net/2429/8500.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Freeland, R Keith. “Statistical analysis of discrete time series with application to the analysis of workers' compensation claims data .” 1998. Web. 16 Jul 2019.

Vancouver:

Freeland RK. Statistical analysis of discrete time series with application to the analysis of workers' compensation claims data . [Internet] [Thesis]. University of British Columbia; 1998. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2429/8500.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Freeland RK. Statistical analysis of discrete time series with application to the analysis of workers' compensation claims data . [Thesis]. University of British Columbia; 1998. Available from: http://hdl.handle.net/2429/8500

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


AUT University

16. Widiputra, Harya. Integrated multi-model framework for adaptive multiple time-series analysis and modelling .

Degree: 2011, AUT University

 The topic of time-series prediction has been very well researched in studies of dynamic systems. However, most studies in the field have focused more on… (more)

Subjects/Keywords: Multiple time-series; Adaptive; Global model; Local model; Transductive model; Prediction

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APA (6th Edition):

Widiputra, H. (2011). Integrated multi-model framework for adaptive multiple time-series analysis and modelling . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/2868

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Widiputra, Harya. “Integrated multi-model framework for adaptive multiple time-series analysis and modelling .” 2011. Thesis, AUT University. Accessed July 16, 2019. http://hdl.handle.net/10292/2868.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Widiputra, Harya. “Integrated multi-model framework for adaptive multiple time-series analysis and modelling .” 2011. Web. 16 Jul 2019.

Vancouver:

Widiputra H. Integrated multi-model framework for adaptive multiple time-series analysis and modelling . [Internet] [Thesis]. AUT University; 2011. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10292/2868.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Widiputra H. Integrated multi-model framework for adaptive multiple time-series analysis and modelling . [Thesis]. AUT University; 2011. Available from: http://hdl.handle.net/10292/2868

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Bradford

17. Lan, Yang. Computational approaches for time series analysis and prediction : data-driven methods for pseudo-periodical sequences.

Degree: 2009, University of Bradford

Time series data mining is one branch of data mining. Time series analysis and prediction have always played an important role in human activities and… (more)

Subjects/Keywords: 005.3; Time series; Time series analysis and prediction; nth-order difference; Similarity; Feature extraction; Data mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lan, Y. (2009). Computational approaches for time series analysis and prediction : data-driven methods for pseudo-periodical sequences. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/4317

Chicago Manual of Style (16th Edition):

Lan, Yang. “Computational approaches for time series analysis and prediction : data-driven methods for pseudo-periodical sequences.” 2009. Doctoral Dissertation, University of Bradford. Accessed July 16, 2019. http://hdl.handle.net/10454/4317.

MLA Handbook (7th Edition):

Lan, Yang. “Computational approaches for time series analysis and prediction : data-driven methods for pseudo-periodical sequences.” 2009. Web. 16 Jul 2019.

Vancouver:

Lan Y. Computational approaches for time series analysis and prediction : data-driven methods for pseudo-periodical sequences. [Internet] [Doctoral dissertation]. University of Bradford; 2009. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10454/4317.

Council of Science Editors:

Lan Y. Computational approaches for time series analysis and prediction : data-driven methods for pseudo-periodical sequences. [Doctoral Dissertation]. University of Bradford; 2009. Available from: http://hdl.handle.net/10454/4317


NSYSU

18. Chen, Chao-Tsen. A Local Modeling Approach for Multivariate Time Series Forecasting.

Degree: Master, Electrical Engineering, 2013, NSYSU

Time series arise frequently when monitoring industrial processes or tracking corporate business metrics. Forecasting time series data is important because it often provides the foundation… (more)

Subjects/Keywords: multi-step ahead prediction; Time series forecasting; multivariate time series; local model; least squares support vector machine; lags selection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, C. (2013). A Local Modeling Approach for Multivariate Time Series Forecasting. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-110338

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Chao-Tsen. “A Local Modeling Approach for Multivariate Time Series Forecasting.” 2013. Thesis, NSYSU. Accessed July 16, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-110338.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Chao-Tsen. “A Local Modeling Approach for Multivariate Time Series Forecasting.” 2013. Web. 16 Jul 2019.

Vancouver:

Chen C. A Local Modeling Approach for Multivariate Time Series Forecasting. [Internet] [Thesis]. NSYSU; 2013. [cited 2019 Jul 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-110338.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen C. A Local Modeling Approach for Multivariate Time Series Forecasting. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-110338

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

19. Tunnell, James W. Using Time Series Models for Defect Prediction in Software Release Planning.

Degree: MS, Computational Science, 2015, Central Washington University

  To produce a high-quality software release, sufficient time should be allowed for testing and fixing defects. Otherwise, there is a risk of slip in… (more)

Subjects/Keywords: software release planning defect prediction time series model modeling; Longitudinal Data Analysis and Time Series; Software Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tunnell, J. W. (2015). Using Time Series Models for Defect Prediction in Software Release Planning. (Masters Thesis). Central Washington University. Retrieved from https://digitalcommons.cwu.edu/etd/144

Chicago Manual of Style (16th Edition):

Tunnell, James W. “Using Time Series Models for Defect Prediction in Software Release Planning.” 2015. Masters Thesis, Central Washington University. Accessed July 16, 2019. https://digitalcommons.cwu.edu/etd/144.

MLA Handbook (7th Edition):

Tunnell, James W. “Using Time Series Models for Defect Prediction in Software Release Planning.” 2015. Web. 16 Jul 2019.

Vancouver:

Tunnell JW. Using Time Series Models for Defect Prediction in Software Release Planning. [Internet] [Masters thesis]. Central Washington University; 2015. [cited 2019 Jul 16]. Available from: https://digitalcommons.cwu.edu/etd/144.

Council of Science Editors:

Tunnell JW. Using Time Series Models for Defect Prediction in Software Release Planning. [Masters Thesis]. Central Washington University; 2015. Available from: https://digitalcommons.cwu.edu/etd/144


University of Otago

20. Wang, Xin. Research of mixture of experts model for time series prediction .

Degree: 2011, University of Otago

 For the prediction of chaotic time series, a dichotomy has arisen between local approaches and global approaches. Local approaches hold the reputation of simplicity and… (more)

Subjects/Keywords: chaotic time series; “Timeline" Hidden Markov Experts; multi-step-ahead prediction; time-line; model; distribution prediction; time series; Mixture of Experts; Markov processes

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, X. (2011). Research of mixture of experts model for time series prediction . (Doctoral Dissertation). University of Otago. Retrieved from http://hdl.handle.net/10523/1487

Chicago Manual of Style (16th Edition):

Wang, Xin. “Research of mixture of experts model for time series prediction .” 2011. Doctoral Dissertation, University of Otago. Accessed July 16, 2019. http://hdl.handle.net/10523/1487.

MLA Handbook (7th Edition):

Wang, Xin. “Research of mixture of experts model for time series prediction .” 2011. Web. 16 Jul 2019.

Vancouver:

Wang X. Research of mixture of experts model for time series prediction . [Internet] [Doctoral dissertation]. University of Otago; 2011. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10523/1487.

Council of Science Editors:

Wang X. Research of mixture of experts model for time series prediction . [Doctoral Dissertation]. University of Otago; 2011. Available from: http://hdl.handle.net/10523/1487


University of Melbourne

21. Beaumont, Adrian N. Transforms and truncations of time series.

Degree: 2015, University of Melbourne

 A time series can be defined as a collection of random variables indexed according to the order they are obtained in time. Examples of time(more)

Subjects/Keywords: exponential smoothing; time series; time series forecasts; prediction performance measures; statistics; probability distributions; Analysis of Variance (ANOVA); normal distribution; truncated normal distribution; t distribution; additive time series models; time series transforms; time series truncations; distribution-based performance measures; gamma distribution

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APA (6th Edition):

Beaumont, A. N. (2015). Transforms and truncations of time series. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/91670

Chicago Manual of Style (16th Edition):

Beaumont, Adrian N. “Transforms and truncations of time series.” 2015. Doctoral Dissertation, University of Melbourne. Accessed July 16, 2019. http://hdl.handle.net/11343/91670.

MLA Handbook (7th Edition):

Beaumont, Adrian N. “Transforms and truncations of time series.” 2015. Web. 16 Jul 2019.

Vancouver:

Beaumont AN. Transforms and truncations of time series. [Internet] [Doctoral dissertation]. University of Melbourne; 2015. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11343/91670.

Council of Science Editors:

Beaumont AN. Transforms and truncations of time series. [Doctoral Dissertation]. University of Melbourne; 2015. Available from: http://hdl.handle.net/11343/91670


Universidade do Rio Grande do Sul

22. Giacomel, Felipe dos Santos. Um método algorítmico para operações na bolsa de valores baseado em ensembles de redes neurais para modelar e prever os movimentos dos mercados de ações.

Degree: 2016, Universidade do Rio Grande do Sul

A previsão de séries temporais financeiras tem sido um tópico popular da literatura nos últimos anos. Contudo, embora muitos estudos de previsão de séries temporais… (more)

Subjects/Keywords: Neural networks; Redes neurais; Classification; Banco : Dados; Prediction; Stock markets; Time series

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Giacomel, F. d. S. (2016). Um método algorítmico para operações na bolsa de valores baseado em ensembles de redes neurais para modelar e prever os movimentos dos mercados de ações. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/134586

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Giacomel, Felipe dos Santos. “Um método algorítmico para operações na bolsa de valores baseado em ensembles de redes neurais para modelar e prever os movimentos dos mercados de ações.” 2016. Thesis, Universidade do Rio Grande do Sul. Accessed July 16, 2019. http://hdl.handle.net/10183/134586.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Giacomel, Felipe dos Santos. “Um método algorítmico para operações na bolsa de valores baseado em ensembles de redes neurais para modelar e prever os movimentos dos mercados de ações.” 2016. Web. 16 Jul 2019.

Vancouver:

Giacomel FdS. Um método algorítmico para operações na bolsa de valores baseado em ensembles de redes neurais para modelar e prever os movimentos dos mercados de ações. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2016. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10183/134586.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Giacomel FdS. Um método algorítmico para operações na bolsa de valores baseado em ensembles de redes neurais para modelar e prever os movimentos dos mercados de ações. [Thesis]. Universidade do Rio Grande do Sul; 2016. Available from: http://hdl.handle.net/10183/134586

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

23. Wei, Chia-Ching. A kNN based neuro-fuzzy system for time series prediction.

Degree: Master, Electrical Engineering, 2013, NSYSU

Time series prediction have been used in many fields. Forecasting the future behavior of a real-world time series data is an important research and application… (more)

Subjects/Keywords: neuro-fuzzy system; local model; multi-step ahead prediction; time series; genetic algorithm

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wei, C. (2013). A kNN based neuro-fuzzy system for time series prediction. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-140400

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wei, Chia-Ching. “A kNN based neuro-fuzzy system for time series prediction.” 2013. Thesis, NSYSU. Accessed July 16, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-140400.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wei, Chia-Ching. “A kNN based neuro-fuzzy system for time series prediction.” 2013. Web. 16 Jul 2019.

Vancouver:

Wei C. A kNN based neuro-fuzzy system for time series prediction. [Internet] [Thesis]. NSYSU; 2013. [cited 2019 Jul 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-140400.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wei C. A kNN based neuro-fuzzy system for time series prediction. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-140400

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – San Diego

24. CHEN, JIE. Prediction in Time Series Models and Model-free Inference with a Specialization in Financial Return Data.

Degree: Math w/Spec in Statistics, 2018, University of California – San Diego

 The main aim of this dissertation is to study the prediction of financial returns or squared financial returns. As is known, financial returns data have… (more)

Subjects/Keywords: Mathematics; Statistics; financial returns; GARCH; model-free; NoVaS; prediction; time series models

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APA (6th Edition):

CHEN, J. (2018). Prediction in Time Series Models and Model-free Inference with a Specialization in Financial Return Data. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/2kv7b1qx

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

CHEN, JIE. “Prediction in Time Series Models and Model-free Inference with a Specialization in Financial Return Data.” 2018. Thesis, University of California – San Diego. Accessed July 16, 2019. http://www.escholarship.org/uc/item/2kv7b1qx.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

CHEN, JIE. “Prediction in Time Series Models and Model-free Inference with a Specialization in Financial Return Data.” 2018. Web. 16 Jul 2019.

Vancouver:

CHEN J. Prediction in Time Series Models and Model-free Inference with a Specialization in Financial Return Data. [Internet] [Thesis]. University of California – San Diego; 2018. [cited 2019 Jul 16]. Available from: http://www.escholarship.org/uc/item/2kv7b1qx.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

CHEN J. Prediction in Time Series Models and Model-free Inference with a Specialization in Financial Return Data. [Thesis]. University of California – San Diego; 2018. Available from: http://www.escholarship.org/uc/item/2kv7b1qx

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – Santa Cruz

25. Caballero Barajas, Karla Lizbeth. Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare.

Degree: Electrical Engineering, 2015, University of California – Santa Cruz

 Statistical Topic Models has been widely studied in Text Mining as an effective approach to extract latent topics from unstructured text documents. We present a… (more)

Subjects/Keywords: Information technology; Statistics; Information science; Document Retrieval; Dynamic Prediction; Time Series; Topic Models

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APA (6th Edition):

Caballero Barajas, K. L. (2015). Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/96m0z634

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Caballero Barajas, Karla Lizbeth. “Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare.” 2015. Thesis, University of California – Santa Cruz. Accessed July 16, 2019. http://www.escholarship.org/uc/item/96m0z634.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Caballero Barajas, Karla Lizbeth. “Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare.” 2015. Web. 16 Jul 2019.

Vancouver:

Caballero Barajas KL. Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare. [Internet] [Thesis]. University of California – Santa Cruz; 2015. [cited 2019 Jul 16]. Available from: http://www.escholarship.org/uc/item/96m0z634.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Caballero Barajas KL. Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare. [Thesis]. University of California – Santa Cruz; 2015. Available from: http://www.escholarship.org/uc/item/96m0z634

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Sydney

26. De Silva, Anthony Mihirana. Grammar based feature generation for time-series prediction .

Degree: 2013, University of Sydney

 The application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the… (more)

Subjects/Keywords: Feature Generation; Time-series Prediction; Context-free Grammar; Grammatical Evolution; Feature Selection; Machine Learning

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APA (6th Edition):

De Silva, A. M. (2013). Grammar based feature generation for time-series prediction . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/10278

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

De Silva, Anthony Mihirana. “Grammar based feature generation for time-series prediction .” 2013. Thesis, University of Sydney. Accessed July 16, 2019. http://hdl.handle.net/2123/10278.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

De Silva, Anthony Mihirana. “Grammar based feature generation for time-series prediction .” 2013. Web. 16 Jul 2019.

Vancouver:

De Silva AM. Grammar based feature generation for time-series prediction . [Internet] [Thesis]. University of Sydney; 2013. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2123/10278.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

De Silva AM. Grammar based feature generation for time-series prediction . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/10278

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Adelaide

27. Mansor, Mohd Mahayaudin bin. Directionality in time series and its applications.

Degree: 2017, University of Adelaide

 A suite of seven statistics to detect directionality in time series is presented. Applications from various disciplines including business, environmental science, finance and medicine are… (more)

Subjects/Keywords: Research by publication; time series; directionality; reversibility; threshold autoregressive; penalized least squares; prediction; forecasting

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APA (6th Edition):

Mansor, M. M. b. (2017). Directionality in time series and its applications. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/114245

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mansor, Mohd Mahayaudin bin. “Directionality in time series and its applications.” 2017. Thesis, University of Adelaide. Accessed July 16, 2019. http://hdl.handle.net/2440/114245.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mansor, Mohd Mahayaudin bin. “Directionality in time series and its applications.” 2017. Web. 16 Jul 2019.

Vancouver:

Mansor MMb. Directionality in time series and its applications. [Internet] [Thesis]. University of Adelaide; 2017. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2440/114245.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mansor MMb. Directionality in time series and its applications. [Thesis]. University of Adelaide; 2017. Available from: http://hdl.handle.net/2440/114245

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Toronto

28. Wang, Jonathan. On Quantifying and Forecasting Emergency Department Overcrowding at Sunnybrook Hospital using Statistical Analyses and Artificial Neural Networks.

Degree: 2012, University of Toronto

Emergency department (ED) overcrowding is a challenge faced by many hospitals. One approach to mitigate overcrowding is to anticipate high levels of overcrowding. The purpose… (more)

Subjects/Keywords: Emergency Department; Overcrowding; artificial neural networks; prediction; forecast; time series forecasting; ROC; 0546; 0800; 0769

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APA (6th Edition):

Wang, J. (2012). On Quantifying and Forecasting Emergency Department Overcrowding at Sunnybrook Hospital using Statistical Analyses and Artificial Neural Networks. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/33580

Chicago Manual of Style (16th Edition):

Wang, Jonathan. “On Quantifying and Forecasting Emergency Department Overcrowding at Sunnybrook Hospital using Statistical Analyses and Artificial Neural Networks.” 2012. Masters Thesis, University of Toronto. Accessed July 16, 2019. http://hdl.handle.net/1807/33580.

MLA Handbook (7th Edition):

Wang, Jonathan. “On Quantifying and Forecasting Emergency Department Overcrowding at Sunnybrook Hospital using Statistical Analyses and Artificial Neural Networks.” 2012. Web. 16 Jul 2019.

Vancouver:

Wang J. On Quantifying and Forecasting Emergency Department Overcrowding at Sunnybrook Hospital using Statistical Analyses and Artificial Neural Networks. [Internet] [Masters thesis]. University of Toronto; 2012. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/1807/33580.

Council of Science Editors:

Wang J. On Quantifying and Forecasting Emergency Department Overcrowding at Sunnybrook Hospital using Statistical Analyses and Artificial Neural Networks. [Masters Thesis]. University of Toronto; 2012. Available from: http://hdl.handle.net/1807/33580


Aston University

29. Van der Rest, John C. Minimum description length, regularisation and multi-modal data.

Degree: PhD, 1995, Aston University

 Conventional feed forward Neural Networks have used the sum-of-squares cost function for training. A new cost function is presented here with a description length interpretation… (more)

Subjects/Keywords: 005; Time series prediction; Neural networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Van der Rest, J. C. (1995). Minimum description length, regularisation and multi-modal data. (Doctoral Dissertation). Aston University. Retrieved from http://publications.aston.ac.uk/id/eprint/7986/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388578

Chicago Manual of Style (16th Edition):

Van der Rest, John C. “Minimum description length, regularisation and multi-modal data.” 1995. Doctoral Dissertation, Aston University. Accessed July 16, 2019. http://publications.aston.ac.uk/id/eprint/7986/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388578.

MLA Handbook (7th Edition):

Van der Rest, John C. “Minimum description length, regularisation and multi-modal data.” 1995. Web. 16 Jul 2019.

Vancouver:

Van der Rest JC. Minimum description length, regularisation and multi-modal data. [Internet] [Doctoral dissertation]. Aston University; 1995. [cited 2019 Jul 16]. Available from: http://publications.aston.ac.uk/id/eprint/7986/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388578.

Council of Science Editors:

Van der Rest JC. Minimum description length, regularisation and multi-modal data. [Doctoral Dissertation]. Aston University; 1995. Available from: http://publications.aston.ac.uk/id/eprint/7986/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388578


Aston University

30. Potts, Michael Alan Sherred. Approximating differentiable relationships between delay embedded dynamical systems with radial basis functions.

Degree: PhD, 1996, Aston University

 This thesis is about the study of relationships between experimental dynamical systems. The basic approach is to fit radial basis function maps between time delay… (more)

Subjects/Keywords: 003.5; Neural networks; Time series prediction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Potts, M. A. S. (1996). Approximating differentiable relationships between delay embedded dynamical systems with radial basis functions. (Doctoral Dissertation). Aston University. Retrieved from http://publications.aston.ac.uk/id/eprint/10598/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285948

Chicago Manual of Style (16th Edition):

Potts, Michael Alan Sherred. “Approximating differentiable relationships between delay embedded dynamical systems with radial basis functions.” 1996. Doctoral Dissertation, Aston University. Accessed July 16, 2019. http://publications.aston.ac.uk/id/eprint/10598/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285948.

MLA Handbook (7th Edition):

Potts, Michael Alan Sherred. “Approximating differentiable relationships between delay embedded dynamical systems with radial basis functions.” 1996. Web. 16 Jul 2019.

Vancouver:

Potts MAS. Approximating differentiable relationships between delay embedded dynamical systems with radial basis functions. [Internet] [Doctoral dissertation]. Aston University; 1996. [cited 2019 Jul 16]. Available from: http://publications.aston.ac.uk/id/eprint/10598/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285948.

Council of Science Editors:

Potts MAS. Approximating differentiable relationships between delay embedded dynamical systems with radial basis functions. [Doctoral Dissertation]. Aston University; 1996. Available from: http://publications.aston.ac.uk/id/eprint/10598/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285948

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