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You searched for subject:(feature data model). Showing records 1 – 21 of 21 total matches.

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University of Georgia

1. Choi, Jinmu. A prototype of feature-oriented GIS.

Degree: PhD, Geography, 2004, University of Georgia

 With an emergence of geographic information systems (GIS), spatial data have been represented by a traditional layer-based data model using geometry and thematic attributes. In… (more)

Subjects/Keywords: feature data model

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

APA (6th Edition):

Choi, J. (2004). A prototype of feature-oriented GIS. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/choi_jinmu_200412_phd

Chicago Manual of Style (16th Edition):

Choi, Jinmu. “A prototype of feature-oriented GIS.” 2004. Doctoral Dissertation, University of Georgia. Accessed January 17, 2020. http://purl.galileo.usg.edu/uga_etd/choi_jinmu_200412_phd.

MLA Handbook (7th Edition):

Choi, Jinmu. “A prototype of feature-oriented GIS.” 2004. Web. 17 Jan 2020.

Vancouver:

Choi J. A prototype of feature-oriented GIS. [Internet] [Doctoral dissertation]. University of Georgia; 2004. [cited 2020 Jan 17]. Available from: http://purl.galileo.usg.edu/uga_etd/choi_jinmu_200412_phd.

Council of Science Editors:

Choi J. A prototype of feature-oriented GIS. [Doctoral Dissertation]. University of Georgia; 2004. Available from: http://purl.galileo.usg.edu/uga_etd/choi_jinmu_200412_phd


University of Illinois – Urbana-Champaign

2. Bui, Ngoc T. Probabilistic visual relational data extraction.

Degree: MS, 0112, 2011, University of Illinois – Urbana-Champaign

 This paper studies the problem of wrapper generation and proposes the concept of visual-relational data extraction as the foundation for modeling wrappers. Towards large scale… (more)

Subjects/Keywords: Data extraction; probabilistic model; visual feature; binary visual relation

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APA (6th Edition):

Bui, N. T. (2011). Probabilistic visual relational data extraction. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18545

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):

Bui, Ngoc T. “Probabilistic visual relational data extraction.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed January 17, 2020. http://hdl.handle.net/2142/18545.

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

MLA Handbook (7th Edition):

Bui, Ngoc T. “Probabilistic visual relational data extraction.” 2011. Web. 17 Jan 2020.

Vancouver:

Bui NT. Probabilistic visual relational data extraction. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/2142/18545.

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

Council of Science Editors:

Bui NT. Probabilistic visual relational data extraction. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18545

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


Penn State University

3. Chu, Wanghuan. New screening procedure for ultrahigh dimensional varying-coefficient model in longitudinal data analysis.

Degree: MS, Statistics, 2015, Penn State University

 This thesis is concerned with feature screening methods for varying-coefficient models in ultrahigh dimensional longitudinal setting. Motivated by an empirical analysis of the Childhood Asthma… (more)

Subjects/Keywords: feature screening; varying-coefficient model; ultrahigh dimensionality; longitudinal data analysis; CAMP

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APA (6th Edition):

Chu, W. (2015). New screening procedure for ultrahigh dimensional varying-coefficient model in longitudinal data analysis. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/22943

Chicago Manual of Style (16th Edition):

Chu, Wanghuan. “New screening procedure for ultrahigh dimensional varying-coefficient model in longitudinal data analysis.” 2015. Masters Thesis, Penn State University. Accessed January 17, 2020. https://etda.libraries.psu.edu/catalog/22943.

MLA Handbook (7th Edition):

Chu, Wanghuan. “New screening procedure for ultrahigh dimensional varying-coefficient model in longitudinal data analysis.” 2015. Web. 17 Jan 2020.

Vancouver:

Chu W. New screening procedure for ultrahigh dimensional varying-coefficient model in longitudinal data analysis. [Internet] [Masters thesis]. Penn State University; 2015. [cited 2020 Jan 17]. Available from: https://etda.libraries.psu.edu/catalog/22943.

Council of Science Editors:

Chu W. New screening procedure for ultrahigh dimensional varying-coefficient model in longitudinal data analysis. [Masters Thesis]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/22943


Texas A&M University

4. Zhang, Lin. Application of Bayesian Hierarchical Models in Genetic Data Analysis.

Degree: 2012, Texas A&M University

 Genetic data analysis has been capturing a lot of attentions for understanding the mechanism of the development and progressing of diseases like cancers, and is… (more)

Subjects/Keywords: covariance estimation; feature selection; graphical network modeling; genetic data analysis; Bayesian hierarchical model

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APA (6th Edition):

Zhang, L. (2012). Application of Bayesian Hierarchical Models in Genetic Data Analysis. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148056

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):

Zhang, Lin. “Application of Bayesian Hierarchical Models in Genetic Data Analysis.” 2012. Thesis, Texas A&M University. Accessed January 17, 2020. http://hdl.handle.net/1969.1/148056.

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

MLA Handbook (7th Edition):

Zhang, Lin. “Application of Bayesian Hierarchical Models in Genetic Data Analysis.” 2012. Web. 17 Jan 2020.

Vancouver:

Zhang L. Application of Bayesian Hierarchical Models in Genetic Data Analysis. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/1969.1/148056.

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

Council of Science Editors:

Zhang L. Application of Bayesian Hierarchical Models in Genetic Data Analysis. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148056

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


Queensland University of Technology

5. Ge, Esther. The query based learning system for lifetime prediction of metallic components.

Degree: 2008, Queensland University of Technology

 This research project was a step forward in developing an efficient data mining method for estimating the service life of metallic components in Queensland school… (more)

Subjects/Keywords: data mining; learning system; predictive model; lifetime prediction; corrosion prediction; feature selection; civil engineering

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

APA (6th Edition):

Ge, E. (2008). The query based learning system for lifetime prediction of metallic components. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/18345/

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):

Ge, Esther. “The query based learning system for lifetime prediction of metallic components.” 2008. Thesis, Queensland University of Technology. Accessed January 17, 2020. https://eprints.qut.edu.au/18345/.

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

MLA Handbook (7th Edition):

Ge, Esther. “The query based learning system for lifetime prediction of metallic components.” 2008. Web. 17 Jan 2020.

Vancouver:

Ge E. The query based learning system for lifetime prediction of metallic components. [Internet] [Thesis]. Queensland University of Technology; 2008. [cited 2020 Jan 17]. Available from: https://eprints.qut.edu.au/18345/.

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

Council of Science Editors:

Ge E. The query based learning system for lifetime prediction of metallic components. [Thesis]. Queensland University of Technology; 2008. Available from: https://eprints.qut.edu.au/18345/

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


North-West University

6. Kleynhans, Neil Taylor. Automatic speech recognition for resource-scarce environments / N.T. Kleynhans.

Degree: 2013, North-West University

 Automatic speech recognition (ASR) technology has matured over the past few decades and has made significant impacts in a variety of fields, from assistive technologies… (more)

Subjects/Keywords: Automatic speech recognition; data harvesting; acoustic model adaptation; feature normalisation; data selection; corpus design; resource-scarce; language technology resource development

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

APA (6th Edition):

Kleynhans, N. T. (2013). Automatic speech recognition for resource-scarce environments / N.T. Kleynhans. (Thesis). North-West University. Retrieved from http://hdl.handle.net/10394/9668

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):

Kleynhans, Neil Taylor. “Automatic speech recognition for resource-scarce environments / N.T. Kleynhans. ” 2013. Thesis, North-West University. Accessed January 17, 2020. http://hdl.handle.net/10394/9668.

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

MLA Handbook (7th Edition):

Kleynhans, Neil Taylor. “Automatic speech recognition for resource-scarce environments / N.T. Kleynhans. ” 2013. Web. 17 Jan 2020.

Vancouver:

Kleynhans NT. Automatic speech recognition for resource-scarce environments / N.T. Kleynhans. [Internet] [Thesis]. North-West University; 2013. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/10394/9668.

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

Council of Science Editors:

Kleynhans NT. Automatic speech recognition for resource-scarce environments / N.T. Kleynhans. [Thesis]. North-West University; 2013. Available from: http://hdl.handle.net/10394/9668

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

7. Koh, Hyung-Won. Feature extraction in NMR data analysis.

Degree: 2010, Technische Universität Dortmund

Subjects/Keywords: Data analysis; Feature extraction; Model selection; Optimization; 004

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APA (6th Edition):

Koh, H. (2010). Feature extraction in NMR data analysis. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/27296

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):

Koh, Hyung-Won. “Feature extraction in NMR data analysis.” 2010. Thesis, Technische Universität Dortmund. Accessed January 17, 2020. http://hdl.handle.net/2003/27296.

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

MLA Handbook (7th Edition):

Koh, Hyung-Won. “Feature extraction in NMR data analysis.” 2010. Web. 17 Jan 2020.

Vancouver:

Koh H. Feature extraction in NMR data analysis. [Internet] [Thesis]. Technische Universität Dortmund; 2010. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/2003/27296.

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

Council of Science Editors:

Koh H. Feature extraction in NMR data analysis. [Thesis]. Technische Universität Dortmund; 2010. Available from: http://hdl.handle.net/2003/27296

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


University of Windsor

8. Chaturvedi, Ritu. Task-based Example Miner for Intelligent Tutoring Systems.

Degree: PhD, Computer Science, 2016, University of Windsor

  Intelligent tutoring systems (ITS) aim to provide customized resources or feedback on a subject (commonly known as domain in ITS) to students in real-time,… (more)

Subjects/Keywords: Data Mining; Intelligent tutoring system; student model; domain model; example-based learning; task; worked-out examples; learning units; asymmetric Boolean data; vector space model; similarity functions; feature extraction; classification; prediction; clustering

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

APA (6th Edition):

Chaturvedi, R. (2016). Task-based Example Miner for Intelligent Tutoring Systems. (Doctoral Dissertation). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5790

Chicago Manual of Style (16th Edition):

Chaturvedi, Ritu. “Task-based Example Miner for Intelligent Tutoring Systems.” 2016. Doctoral Dissertation, University of Windsor. Accessed January 17, 2020. https://scholar.uwindsor.ca/etd/5790.

MLA Handbook (7th Edition):

Chaturvedi, Ritu. “Task-based Example Miner for Intelligent Tutoring Systems.” 2016. Web. 17 Jan 2020.

Vancouver:

Chaturvedi R. Task-based Example Miner for Intelligent Tutoring Systems. [Internet] [Doctoral dissertation]. University of Windsor; 2016. [cited 2020 Jan 17]. Available from: https://scholar.uwindsor.ca/etd/5790.

Council of Science Editors:

Chaturvedi R. Task-based Example Miner for Intelligent Tutoring Systems. [Doctoral Dissertation]. University of Windsor; 2016. Available from: https://scholar.uwindsor.ca/etd/5790


Queensland University of Technology

9. Algarni, Abdulmohsen. Relevance feature discovery for text analysis.

Degree: 2011, Queensland University of Technology

 It is a big challenge to guarantee the quality of discovered relevance features in text documents for describing user preferences because of the large number… (more)

Subjects/Keywords: feature selection; pattern taxonomy model; information retrieval; text mining; data mining; association rules; sequential pattern mining; closed sequential patterns; pattern deploying; pattern evolving; offender selection; weight revision

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

APA (6th Edition):

Algarni, A. (2011). Relevance feature discovery for text analysis. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/48230/

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):

Algarni, Abdulmohsen. “Relevance feature discovery for text analysis.” 2011. Thesis, Queensland University of Technology. Accessed January 17, 2020. https://eprints.qut.edu.au/48230/.

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

MLA Handbook (7th Edition):

Algarni, Abdulmohsen. “Relevance feature discovery for text analysis.” 2011. Web. 17 Jan 2020.

Vancouver:

Algarni A. Relevance feature discovery for text analysis. [Internet] [Thesis]. Queensland University of Technology; 2011. [cited 2020 Jan 17]. Available from: https://eprints.qut.edu.au/48230/.

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

Council of Science Editors:

Algarni A. Relevance feature discovery for text analysis. [Thesis]. Queensland University of Technology; 2011. Available from: https://eprints.qut.edu.au/48230/

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


Brno University of Technology

10. Šilhavá, Jana. Metody pro predikci s vysokodimenzionálními daty genových expresí .

Degree: 2013, Brno University of Technology

 Dizertační práce se zabývá predikcí vysokodimenzionálních dat genových expresí. Množství dostupných genomických dat významně vzrostlo v průběhu posledního desetiletí. Kombinování dat genových expresí s dalšími… (more)

Subjects/Keywords: prediktivní klasifikace; generalizované lineární modely; boosting; logistická regrese; elastická síť; vyhodnocování modelu; vysokodimensionální data; kombinování heterogenních dat; výběr příznaků; DNA microarray data; genové exprese; klinická data; genové ontologie; predictive classification; generalized linear models; boosting; logistic regression; elastic net; model evaluation; high-dimensional data; combining of heterogenous data; feature selection; DNA microarray data; gene expression; clinical data; gene ontology

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APA (6th Edition):

Šilhavá, J. (2013). Metody pro predikci s vysokodimenzionálními daty genových expresí . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/63225

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):

Šilhavá, Jana. “Metody pro predikci s vysokodimenzionálními daty genových expresí .” 2013. Thesis, Brno University of Technology. Accessed January 17, 2020. http://hdl.handle.net/11012/63225.

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

MLA Handbook (7th Edition):

Šilhavá, Jana. “Metody pro predikci s vysokodimenzionálními daty genových expresí .” 2013. Web. 17 Jan 2020.

Vancouver:

Šilhavá J. Metody pro predikci s vysokodimenzionálními daty genových expresí . [Internet] [Thesis]. Brno University of Technology; 2013. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/11012/63225.

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

Council of Science Editors:

Šilhavá J. Metody pro predikci s vysokodimenzionálními daty genových expresí . [Thesis]. Brno University of Technology; 2013. Available from: http://hdl.handle.net/11012/63225

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


University of Notre Dame

11. Ming Ma. Using Direct Numerical Simulation and Statistical Learning to Model Bubbly Flows in Vertical Channels</h1>.

Degree: PhD, Aerospace and Mechanical Engineering, 2017, University of Notre Dame

  Direct Numerical Simulations (DNS) of multiphase flows have progressed rapidly over the last decade and it is now possible to simulate motions of hundreds… (more)

Subjects/Keywords: bubbly flow; statistically learning; reduce dimension; predictive model; DNS database; Turbulent multiphase flow; feature selection; data driven model; neural networks; reduced order modelling; multiphase flow; machine learning; channel flow; big data; turbulent modeling

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APA (6th Edition):

Ma, M. (2017). Using Direct Numerical Simulation and Statistical Learning to Model Bubbly Flows in Vertical Channels</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/6m311n8252q

Chicago Manual of Style (16th Edition):

Ma, Ming. “Using Direct Numerical Simulation and Statistical Learning to Model Bubbly Flows in Vertical Channels</h1>.” 2017. Doctoral Dissertation, University of Notre Dame. Accessed January 17, 2020. https://curate.nd.edu/show/6m311n8252q.

MLA Handbook (7th Edition):

Ma, Ming. “Using Direct Numerical Simulation and Statistical Learning to Model Bubbly Flows in Vertical Channels</h1>.” 2017. Web. 17 Jan 2020.

Vancouver:

Ma M. Using Direct Numerical Simulation and Statistical Learning to Model Bubbly Flows in Vertical Channels</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2017. [cited 2020 Jan 17]. Available from: https://curate.nd.edu/show/6m311n8252q.

Council of Science Editors:

Ma M. Using Direct Numerical Simulation and Statistical Learning to Model Bubbly Flows in Vertical Channels</h1>. [Doctoral Dissertation]. University of Notre Dame; 2017. Available from: https://curate.nd.edu/show/6m311n8252q


Queensland University of Technology

12. Wu, Burton. New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry.

Degree: 2011, Queensland University of Technology

 This thesis investigates profiling and differentiating customers through the use of statistical data mining techniques. The business application of our work centres on examining individuals’… (more)

Subjects/Keywords: Gaussian mixture model (GMM), mixture models, probability density estimation, variational bayes (VB), Bayesian statistics, data mining (DM), combinational data analysis (CDA), profiling, segmentation, clustering, feature extraction; behavioural characteristics, consumer behaviour, customer behaviour, consumption behaviour, customer relationship management (CRM), relationship marketing (RM), human mobility pattern, spatial behaviour, temporal behaviour, circular data, data stream; high dimensional data, call detail records (CDR), wireless telecommunication industry

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

APA (6th Edition):

Wu, B. (2011). New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/46084/

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):

Wu, Burton. “New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry.” 2011. Thesis, Queensland University of Technology. Accessed January 17, 2020. https://eprints.qut.edu.au/46084/.

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

MLA Handbook (7th Edition):

Wu, Burton. “New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry.” 2011. Web. 17 Jan 2020.

Vancouver:

Wu B. New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry. [Internet] [Thesis]. Queensland University of Technology; 2011. [cited 2020 Jan 17]. Available from: https://eprints.qut.edu.au/46084/.

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

Council of Science Editors:

Wu B. New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry. [Thesis]. Queensland University of Technology; 2011. Available from: https://eprints.qut.edu.au/46084/

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

13. Laclau, Charlotte. Hard and fuzzy block clustering algorithms for high dimensional data : Algorithmes de block-clustering dur et flou pour les données en grande dimension.

Degree: Docteur es, Informatique, 2016, Sorbonne Paris Cité

 Notre capacité grandissante à collecter et stocker des données a fait de l'apprentissage non supervisé un outil indispensable qui permet la découverte de structures et… (more)

Subjects/Keywords: Classification; Flou; Classification croisée; Modèle de mélange; Approche métrique; Modèle à bloc latent; Données sparses; Données binaires; Classification de document; Théorème de Zangwill; Sélection de variable; Données en grande dimension; Algorithme; Clustering; Fuzzy; Co-clustering; Mixture model; Metric approach; Latent block model; Sparse data; Binary data; Document clustering; Zangwill theorem; Feature selection; High dimensional data; Algorithm; 004

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

APA (6th Edition):

Laclau, C. (2016). Hard and fuzzy block clustering algorithms for high dimensional data : Algorithmes de block-clustering dur et flou pour les données en grande dimension. (Doctoral Dissertation). Sorbonne Paris Cité. Retrieved from http://www.theses.fr/2016USPCB014

Chicago Manual of Style (16th Edition):

Laclau, Charlotte. “Hard and fuzzy block clustering algorithms for high dimensional data : Algorithmes de block-clustering dur et flou pour les données en grande dimension.” 2016. Doctoral Dissertation, Sorbonne Paris Cité. Accessed January 17, 2020. http://www.theses.fr/2016USPCB014.

MLA Handbook (7th Edition):

Laclau, Charlotte. “Hard and fuzzy block clustering algorithms for high dimensional data : Algorithmes de block-clustering dur et flou pour les données en grande dimension.” 2016. Web. 17 Jan 2020.

Vancouver:

Laclau C. Hard and fuzzy block clustering algorithms for high dimensional data : Algorithmes de block-clustering dur et flou pour les données en grande dimension. [Internet] [Doctoral dissertation]. Sorbonne Paris Cité; 2016. [cited 2020 Jan 17]. Available from: http://www.theses.fr/2016USPCB014.

Council of Science Editors:

Laclau C. Hard and fuzzy block clustering algorithms for high dimensional data : Algorithmes de block-clustering dur et flou pour les données en grande dimension. [Doctoral Dissertation]. Sorbonne Paris Cité; 2016. Available from: http://www.theses.fr/2016USPCB014


The Ohio State University

14. Wang, Chao. Exploiting non-redundant local patterns and probabilistic models for analyzing structured and semi-structured data.

Degree: PhD, Computer and Information Science, 2008, The Ohio State University

 This work seeks to develop a probabilistic framework for modeling, querying and analyzing large-scale structured and semi-structured data. The framework has three components: (1) Mining… (more)

Subjects/Keywords: Computer Science; Probabilistic Graphical Model; Undirected Graphical Model; Markov Random Field; Maximum Entropy; Feature Selection; Frequent Pattern Mining; Non-Redundant Frequent Pattern; Structured and Semi-Structure Data; Social Network Analysis; Link Prediction

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APA (6th Edition):

Wang, C. (2008). Exploiting non-redundant local patterns and probabilistic models for analyzing structured and semi-structured data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1199284713

Chicago Manual of Style (16th Edition):

Wang, Chao. “Exploiting non-redundant local patterns and probabilistic models for analyzing structured and semi-structured data.” 2008. Doctoral Dissertation, The Ohio State University. Accessed January 17, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1199284713.

MLA Handbook (7th Edition):

Wang, Chao. “Exploiting non-redundant local patterns and probabilistic models for analyzing structured and semi-structured data.” 2008. Web. 17 Jan 2020.

Vancouver:

Wang C. Exploiting non-redundant local patterns and probabilistic models for analyzing structured and semi-structured data. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2020 Jan 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199284713.

Council of Science Editors:

Wang C. Exploiting non-redundant local patterns and probabilistic models for analyzing structured and semi-structured data. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199284713


Jönköping University

15. Abid, Saad Bin. Development of Software for Feature Model Rendering.

Degree: Computer and Electrical Engineering, 2006, Jönköping University

  This Master’s thesis is aimed at improving the management of artifacts in the context of a joint-project between Jönköping University with the SEMCO project… (more)

Subjects/Keywords: Domain Engineering; FODA; feature model; Eclipse; Pure-Variant; XML; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Abid, S. B. (2006). Development of Software for Feature Model Rendering. (Thesis). Jönköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-621

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):

Abid, Saad Bin. “Development of Software for Feature Model Rendering.” 2006. Thesis, Jönköping University. Accessed January 17, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-621.

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

MLA Handbook (7th Edition):

Abid, Saad Bin. “Development of Software for Feature Model Rendering.” 2006. Web. 17 Jan 2020.

Vancouver:

Abid SB. Development of Software for Feature Model Rendering. [Internet] [Thesis]. Jönköping University; 2006. [cited 2020 Jan 17]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-621.

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

Council of Science Editors:

Abid SB. Development of Software for Feature Model Rendering. [Thesis]. Jönköping University; 2006. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-621

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


University of Pretoria

16. Cooper, A.K. (Antony Kyle). Standards for exchanging digital geo-referenced information.

Degree: Computer Science, 2013, University of Pretoria

 The purpose of this dissertation is to assess digital geo-referenced information and standards for exchanging such information, especially the South African National Exchange Standard (NES).… (more)

Subjects/Keywords: Topology; Spatial attribute; Relational model; Non-spatial attribute; Language; Grammar; Geo-referenced information; Geographical information system; Feature; Exchange standard; Data quality; Classification; Alternate spatial attribute; Alternatiewe ruimtelike attribuut; Datakwaliteit; Geografiese inligtingstelsel; Geo-verwysde inligting; Grammatika; Klassifikasie; Nie-ruimtelike attribuut; Relasionele model; Ruimtelike attribuut; Taal; Topologie; Uitruilstandaard; Verskynsel; UCTD

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

APA (6th Edition):

Cooper, A. K. (. K. (2013). Standards for exchanging digital geo-referenced information. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/23151

Chicago Manual of Style (16th Edition):

Cooper, A K (Antony Kyle). “Standards for exchanging digital geo-referenced information.” 2013. Masters Thesis, University of Pretoria. Accessed January 17, 2020. http://hdl.handle.net/2263/23151.

MLA Handbook (7th Edition):

Cooper, A K (Antony Kyle). “Standards for exchanging digital geo-referenced information.” 2013. Web. 17 Jan 2020.

Vancouver:

Cooper AK(K. Standards for exchanging digital geo-referenced information. [Internet] [Masters thesis]. University of Pretoria; 2013. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/2263/23151.

Council of Science Editors:

Cooper AK(K. Standards for exchanging digital geo-referenced information. [Masters Thesis]. University of Pretoria; 2013. Available from: http://hdl.handle.net/2263/23151


University of Pretoria

17. Cooper, A.K. (Antony Kyle). Standards for exchanging digital geo-referenced information .

Degree: 2013, University of Pretoria

 The purpose of this dissertation is to assess digital geo-referenced information and standards for exchanging such information, especially the South African National Exchange Standard (NES).… (more)

Subjects/Keywords: Topology; Spatial attribute; Relational model; Non-spatial attribute; Language; Grammar; Geo-referenced information; Geographical information system; Feature; Exchange standard; Data quality; Classification; Alternate spatial attribute; Alternatiewe ruimtelike attribuut; Datakwaliteit; Geografiese inligtingstelsel; Geo-verwysde inligting; Grammatika; Klassifikasie; Nie-ruimtelike attribuut; Relasionele model; Ruimtelike attribuut; Taal; Topologie; Uitruilstandaard; Verskynsel; UCTD

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

APA (6th Edition):

Cooper, A. K. (. K. (2013). Standards for exchanging digital geo-referenced information . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-03122011-234202/

Chicago Manual of Style (16th Edition):

Cooper, A K (Antony Kyle). “Standards for exchanging digital geo-referenced information .” 2013. Masters Thesis, University of Pretoria. Accessed January 17, 2020. http://upetd.up.ac.za/thesis/available/etd-03122011-234202/.

MLA Handbook (7th Edition):

Cooper, A K (Antony Kyle). “Standards for exchanging digital geo-referenced information .” 2013. Web. 17 Jan 2020.

Vancouver:

Cooper AK(K. Standards for exchanging digital geo-referenced information . [Internet] [Masters thesis]. University of Pretoria; 2013. [cited 2020 Jan 17]. Available from: http://upetd.up.ac.za/thesis/available/etd-03122011-234202/.

Council of Science Editors:

Cooper AK(K. Standards for exchanging digital geo-referenced information . [Masters Thesis]. University of Pretoria; 2013. Available from: http://upetd.up.ac.za/thesis/available/etd-03122011-234202/

18. Artchounin, Daniel. Tuning of machine learning algorithms for automatic bug assignment.

Degree: Software and Systems, 2017, Linköping University

  In software development projects, bug triage consists mainly of assigning bug reports to software developers or teams (depending on the project). The partial or… (more)

Subjects/Keywords: bug triage; bug assignment; bug mining; bug report; activity-based approach; issue tracking; bug repository; bug tracker; pre-processing; feature extraction; feature selection; tuning; model selection; hyper-parameter optimization; text mining; text classification; classifier; supervised learning; machine learning; information retrieval; bugzilla; eclipse jdt; mozilla firefox; open source software; proprietary project; accuracy; mean reciprocal rank; software development; software maintenance; software engineering; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Artchounin, D. (2017). Tuning of machine learning algorithms for automatic bug assignment. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139230

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):

Artchounin, Daniel. “Tuning of machine learning algorithms for automatic bug assignment.” 2017. Thesis, Linköping University. Accessed January 17, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139230.

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

MLA Handbook (7th Edition):

Artchounin, Daniel. “Tuning of machine learning algorithms for automatic bug assignment.” 2017. Web. 17 Jan 2020.

Vancouver:

Artchounin D. Tuning of machine learning algorithms for automatic bug assignment. [Internet] [Thesis]. Linköping University; 2017. [cited 2020 Jan 17]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139230.

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

Council of Science Editors:

Artchounin D. Tuning of machine learning algorithms for automatic bug assignment. [Thesis]. Linköping University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139230

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


Queens University

19. Taati, Babak. Generation and Optimization of Local Shape Descriptors for Point Matching in 3-D Surfaces .

Degree: Electrical and Computer Engineering, 2009, Queens University

 We formulate Local Shape Descriptor selection for model-based object recognition in range data as an optimization problem and offer a platform that facilitates a solution.… (more)

Subjects/Keywords: Computer Vision; Range Data; Object Recognition; Tracking; Local Shape Descriptor; Point Matching; Pose Estimation; Pose Acquisition; 3-D; 3D; Point Cloud; Satellite Tracking; Optimization; Range Image Processing; Range Image; RANSAC; Registration; Alignment; Surface; Computational Geometry; Detection; Localization; Model-Based; Object Identification; Point Correspondence; Feature Selection; Variable-Dimensional Local Shape Descriptors; VD-LSD; LSD; Genetic Algorithm; Simulated Annealing; Forward Feature Selection; Multivariate Features; Subset Selection; Local Properties; LIDAR; Dense Stereo; Stereo; Precision; Feature Matching; Machine Learning; Training; Learning Phase; Preprocessing

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

APA (6th Edition):

Taati, B. (2009). Generation and Optimization of Local Shape Descriptors for Point Matching in 3-D Surfaces . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/5107

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):

Taati, Babak. “Generation and Optimization of Local Shape Descriptors for Point Matching in 3-D Surfaces .” 2009. Thesis, Queens University. Accessed January 17, 2020. http://hdl.handle.net/1974/5107.

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

MLA Handbook (7th Edition):

Taati, Babak. “Generation and Optimization of Local Shape Descriptors for Point Matching in 3-D Surfaces .” 2009. Web. 17 Jan 2020.

Vancouver:

Taati B. Generation and Optimization of Local Shape Descriptors for Point Matching in 3-D Surfaces . [Internet] [Thesis]. Queens University; 2009. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/1974/5107.

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

Council of Science Editors:

Taati B. Generation and Optimization of Local Shape Descriptors for Point Matching in 3-D Surfaces . [Thesis]. Queens University; 2009. Available from: http://hdl.handle.net/1974/5107

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

20. Morales Montes , Felipe Andres. PLANTEAMIENTO DE MEJORAMIENTO DEL SISTEMA DE CONSTRUCCIÓN INDUSTRIALIZADO DE VIVIENDA EN HORMIGÓN, DONDE SE USA EL MODELO CEMEX EN SU OBRA.

Degree: 2013, Universidad de los Andes

 El siguiente trabajo surge bajo la idea de mejoramiento del modelo “CEMEX en su obra” y su actual funcionamiento en distintos proyectos de construcción de… (more)

Subjects/Keywords: The following study is based on the idea of improving the "CEMEX en su obra" model and its current operations in different housing construction projects in Bogotá. For this purpose an investigation was conducted in two construction projects based in the metropolitan area of Bogota; which feature on-site mixing equipment supplied by the CEMEX company and that utilizes industrialized construction systems. Improvement models that are strived for arise from the data obtained at these work sites; which is entered into a simulation model that permits the exploration of different scenarios. Through this; modifications are made in areas such as in the time it takes to realize projects; to the area of resourcing projects - including raw materials and other building components.

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

APA (6th Edition):

Morales Montes , F. A. (2013). PLANTEAMIENTO DE MEJORAMIENTO DEL SISTEMA DE CONSTRUCCIÓN INDUSTRIALIZADO DE VIVIENDA EN HORMIGÓN, DONDE SE USA EL MODELO CEMEX EN SU OBRA. (Thesis). Universidad de los Andes. Retrieved from http://documentodegrado.uniandes.edu.co/documentos/200410475_fecha_2013_06_26_parte_1.pdf;http://documentodegrado.uniandes.edu.co/documentos/200410475_fecha_2013_06_26_parte_2.pdf

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):

Morales Montes , Felipe Andres. “PLANTEAMIENTO DE MEJORAMIENTO DEL SISTEMA DE CONSTRUCCIÓN INDUSTRIALIZADO DE VIVIENDA EN HORMIGÓN, DONDE SE USA EL MODELO CEMEX EN SU OBRA. ” 2013. Thesis, Universidad de los Andes. Accessed January 17, 2020. http://documentodegrado.uniandes.edu.co/documentos/200410475_fecha_2013_06_26_parte_1.pdf;http://documentodegrado.uniandes.edu.co/documentos/200410475_fecha_2013_06_26_parte_2.pdf.

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

MLA Handbook (7th Edition):

Morales Montes , Felipe Andres. “PLANTEAMIENTO DE MEJORAMIENTO DEL SISTEMA DE CONSTRUCCIÓN INDUSTRIALIZADO DE VIVIENDA EN HORMIGÓN, DONDE SE USA EL MODELO CEMEX EN SU OBRA. ” 2013. Web. 17 Jan 2020.

Vancouver:

Morales Montes FA. PLANTEAMIENTO DE MEJORAMIENTO DEL SISTEMA DE CONSTRUCCIÓN INDUSTRIALIZADO DE VIVIENDA EN HORMIGÓN, DONDE SE USA EL MODELO CEMEX EN SU OBRA. [Internet] [Thesis]. Universidad de los Andes; 2013. [cited 2020 Jan 17]. Available from: http://documentodegrado.uniandes.edu.co/documentos/200410475_fecha_2013_06_26_parte_1.pdf;http://documentodegrado.uniandes.edu.co/documentos/200410475_fecha_2013_06_26_parte_2.pdf.

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

Council of Science Editors:

Morales Montes FA. PLANTEAMIENTO DE MEJORAMIENTO DEL SISTEMA DE CONSTRUCCIÓN INDUSTRIALIZADO DE VIVIENDA EN HORMIGÓN, DONDE SE USA EL MODELO CEMEX EN SU OBRA. [Thesis]. Universidad de los Andes; 2013. Available from: http://documentodegrado.uniandes.edu.co/documentos/200410475_fecha_2013_06_26_parte_1.pdf;http://documentodegrado.uniandes.edu.co/documentos/200410475_fecha_2013_06_26_parte_2.pdf

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

21. Khan, Muhammad Salman. Malvidence - a cognitive malware characterization framework.

Degree: Electrical and Computer Engineering, 2018, University of Manitoba

 The challenges of cyber security have outpaced the advantages of cyber tools and technologies. In 2018, World Economic Forum has already placed cyber security in… (more)

Subjects/Keywords: Fractals; Malware mutation; Anomaly detection; Clustering; Unsupervised machine learning; Malware characterization framework; Endpoint threat detection; EDR; Endpoint detection and response; Microsoft Windows; Process tree; Polymorphism; Metamorphism; Class imbalance; Class inseparability; Variance fractal dimension; Correlation fractal dimension; Information fractal dimension; Spectral fractal dimension; Graph theory; Time graphs; Cognitive machine intelligence; Cognitive computing; Cyber kill chain; Cognitive and concurrent cyber kill chain; Semantic analysis; Features; Attributes; k-means; fBm; Fractional Brownian motion process; Cyber security; Behavioral analytics; Host anomaly detection; Malware data set; Semantics; Cyber threat hunting; Threat model; Feature elicitation; Cyber defense; Cyber event triage; CSOC; Cyber Security Operation Center; Multiscale Analysis; Multifractal; Advanced Persistent Threats; APT; Obfuscation; Cyber deception; Cognitive informatics; Computational intelligence; SIEM; Security information and event management; Penetration testing; Proactive cyber security

…19 2.1.2 Critique of the Cyber Kill Chain Model… …110 3.1 Threat Model… …111 3.2 Sandbox - Data Collection and Processing… …114 3.2.3 Description of Data Collection Program… …121 3.3.2 Malware Execution and Data Collection… 

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

APA (6th Edition):

Khan, M. S. (2018). Malvidence - a cognitive malware characterization framework. (Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/33600

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):

Khan, Muhammad Salman. “Malvidence - a cognitive malware characterization framework.” 2018. Thesis, University of Manitoba. Accessed January 17, 2020. http://hdl.handle.net/1993/33600.

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

MLA Handbook (7th Edition):

Khan, Muhammad Salman. “Malvidence - a cognitive malware characterization framework.” 2018. Web. 17 Jan 2020.

Vancouver:

Khan MS. Malvidence - a cognitive malware characterization framework. [Internet] [Thesis]. University of Manitoba; 2018. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/1993/33600.

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

Council of Science Editors:

Khan MS. Malvidence - a cognitive malware characterization framework. [Thesis]. University of Manitoba; 2018. Available from: http://hdl.handle.net/1993/33600

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

.