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Dates: 2015 – 2019

You searched for subject:(heterogeneous data). Showing records 1 – 30 of 46 total matches.

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University of Illinois – Chicago

1. Wei, Xiaokai. Unsupervised Feature Selection for Heterogeneous Data.

Degree: 2017, University of Illinois – Chicago

 In the era of big data, one is often confronted with the problem of high-dimensional data in many data mining applications. Hence, feature selection has… (more)

Subjects/Keywords: Feature Selection; Heterogeneous Data; Information Network

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

APA (6th Edition):

Wei, X. (2017). Unsupervised Feature Selection for Heterogeneous Data. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21855

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, Xiaokai. “Unsupervised Feature Selection for Heterogeneous Data.” 2017. Thesis, University of Illinois – Chicago. Accessed August 22, 2019. http://hdl.handle.net/10027/21855.

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

MLA Handbook (7th Edition):

Wei, Xiaokai. “Unsupervised Feature Selection for Heterogeneous Data.” 2017. Web. 22 Aug 2019.

Vancouver:

Wei X. Unsupervised Feature Selection for Heterogeneous Data. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/10027/21855.

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

Council of Science Editors:

Wei X. Unsupervised Feature Selection for Heterogeneous Data. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/21855

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


University of New South Wales

2. Ye, Pengjie. A Probabilistic Graphical Model for Structured Prediction over Heterogeneous Data.

Degree: Computer Science & Engineering, 2017, University of New South Wales

 Advances in sensor and instrumentation technology, together with cost reductions and capacity increases in computing and communication technologies, have led to the rapid accumulation of… (more)

Subjects/Keywords: heterogeneous data; structured prediction; TRF; ontology

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APA (6th Edition):

Ye, P. (2017). A Probabilistic Graphical Model for Structured Prediction over Heterogeneous Data. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/58645 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46517/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Ye, Pengjie. “A Probabilistic Graphical Model for Structured Prediction over Heterogeneous Data.” 2017. Doctoral Dissertation, University of New South Wales. Accessed August 22, 2019. http://handle.unsw.edu.au/1959.4/58645 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46517/SOURCE02?view=true.

MLA Handbook (7th Edition):

Ye, Pengjie. “A Probabilistic Graphical Model for Structured Prediction over Heterogeneous Data.” 2017. Web. 22 Aug 2019.

Vancouver:

Ye P. A Probabilistic Graphical Model for Structured Prediction over Heterogeneous Data. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2019 Aug 22]. Available from: http://handle.unsw.edu.au/1959.4/58645 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46517/SOURCE02?view=true.

Council of Science Editors:

Ye P. A Probabilistic Graphical Model for Structured Prediction over Heterogeneous Data. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/58645 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46517/SOURCE02?view=true


EPFL

3. Karpathiotakis, Manolis. Just-in-time Analytics Over Heterogeneous Data and Hardware.

Degree: 2017, EPFL

 Industry and academia are continuously becoming more data-driven and data-intensive, relying on the analysis of a wide variety of datasets to gain insights. At the… (more)

Subjects/Keywords: data management; data analytics; query processing; query compilation; heterogeneous data

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APA (6th Edition):

Karpathiotakis, M. (2017). Just-in-time Analytics Over Heterogeneous Data and Hardware. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/232585

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):

Karpathiotakis, Manolis. “Just-in-time Analytics Over Heterogeneous Data and Hardware.” 2017. Thesis, EPFL. Accessed August 22, 2019. http://infoscience.epfl.ch/record/232585.

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

MLA Handbook (7th Edition):

Karpathiotakis, Manolis. “Just-in-time Analytics Over Heterogeneous Data and Hardware.” 2017. Web. 22 Aug 2019.

Vancouver:

Karpathiotakis M. Just-in-time Analytics Over Heterogeneous Data and Hardware. [Internet] [Thesis]. EPFL; 2017. [cited 2019 Aug 22]. Available from: http://infoscience.epfl.ch/record/232585.

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

Council of Science Editors:

Karpathiotakis M. Just-in-time Analytics Over Heterogeneous Data and Hardware. [Thesis]. EPFL; 2017. Available from: http://infoscience.epfl.ch/record/232585

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


Texas A&M University

4. Shin, Donghwa. An Anomaly Detection Framework for Heterogeneous and Streaming Data.

Degree: MS, Computer Science, 2018, Texas A&M University

 Anomaly detection has become one of the most important research areas due to its wide range of use such as abnormal behavior detection in network… (more)

Subjects/Keywords: Anomaly detection; Network intrusion detection; Heterogeneous data; Streaming data

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APA (6th Edition):

Shin, D. (2018). An Anomaly Detection Framework for Heterogeneous and Streaming Data. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174316

Chicago Manual of Style (16th Edition):

Shin, Donghwa. “An Anomaly Detection Framework for Heterogeneous and Streaming Data.” 2018. Masters Thesis, Texas A&M University. Accessed August 22, 2019. http://hdl.handle.net/1969.1/174316.

MLA Handbook (7th Edition):

Shin, Donghwa. “An Anomaly Detection Framework for Heterogeneous and Streaming Data.” 2018. Web. 22 Aug 2019.

Vancouver:

Shin D. An Anomaly Detection Framework for Heterogeneous and Streaming Data. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1969.1/174316.

Council of Science Editors:

Shin D. An Anomaly Detection Framework for Heterogeneous and Streaming Data. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174316


Université Catholique de Louvain

5. Paul, Jérôme. Feature selection from heterogeneous biomedical data.

Degree: 2015, Université Catholique de Louvain

Modern personalised medicine uses high dimensional genomic data to perform customised diagnostic/prognostic. In addition, physicians record several medical parameters to evaluate some clinical status. In… (more)

Subjects/Keywords: Machine learning; Feature selection; Tree ensembles; Heterogeneous data; Kernel methods

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APA (6th Edition):

Paul, J. (2015). Feature selection from heterogeneous biomedical data. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/165076

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):

Paul, Jérôme. “Feature selection from heterogeneous biomedical data.” 2015. Thesis, Université Catholique de Louvain. Accessed August 22, 2019. http://hdl.handle.net/2078.1/165076.

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

MLA Handbook (7th Edition):

Paul, Jérôme. “Feature selection from heterogeneous biomedical data.” 2015. Web. 22 Aug 2019.

Vancouver:

Paul J. Feature selection from heterogeneous biomedical data. [Internet] [Thesis]. Université Catholique de Louvain; 2015. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/2078.1/165076.

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

Council of Science Editors:

Paul J. Feature selection from heterogeneous biomedical data. [Thesis]. Université Catholique de Louvain; 2015. Available from: http://hdl.handle.net/2078.1/165076

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


University of Texas – Austin

6. -3171-7827. MASES : mobility and slack enhanced scheduler for synchronous dataflow graphs.

Degree: Electrical and Computer Engineering, 2015, University of Texas – Austin

 Nowadays, real-time streaming and digital signal processing applications create an increased demand for embedded systems with better capability to process large-volume data streams with low… (more)

Subjects/Keywords: Synchronous data flow; Model of computation; Heterogeneous multiprocessor

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APA (6th Edition):

-3171-7827. (2015). MASES : mobility and slack enhanced scheduler for synchronous dataflow graphs. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32319

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):

-3171-7827. “MASES : mobility and slack enhanced scheduler for synchronous dataflow graphs.” 2015. Thesis, University of Texas – Austin. Accessed August 22, 2019. http://hdl.handle.net/2152/32319.

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):

-3171-7827. “MASES : mobility and slack enhanced scheduler for synchronous dataflow graphs.” 2015. Web. 22 Aug 2019.

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

Vancouver:

-3171-7827. MASES : mobility and slack enhanced scheduler for synchronous dataflow graphs. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/2152/32319.

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:

-3171-7827. MASES : mobility and slack enhanced scheduler for synchronous dataflow graphs. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32319

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


University of Michigan

7. Roy, Sandipan. Statistical Inference and Computational Methods for Large High-Dimensional Data with Network Structure.

Degree: PhD, Statistics, 2015, University of Michigan

 New technological advancements have allowed collection of datasets of large volume and different levels of complexity. Many of these datasets have an underlying network structure.… (more)

Subjects/Keywords: Network; Heterogeneous; High-dimernsional; Subsampling; Statistics and Numeric Data; Science

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APA (6th Edition):

Roy, S. (2015). Statistical Inference and Computational Methods for Large High-Dimensional Data with Network Structure. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113602

Chicago Manual of Style (16th Edition):

Roy, Sandipan. “Statistical Inference and Computational Methods for Large High-Dimensional Data with Network Structure.” 2015. Doctoral Dissertation, University of Michigan. Accessed August 22, 2019. http://hdl.handle.net/2027.42/113602.

MLA Handbook (7th Edition):

Roy, Sandipan. “Statistical Inference and Computational Methods for Large High-Dimensional Data with Network Structure.” 2015. Web. 22 Aug 2019.

Vancouver:

Roy S. Statistical Inference and Computational Methods for Large High-Dimensional Data with Network Structure. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/2027.42/113602.

Council of Science Editors:

Roy S. Statistical Inference and Computational Methods for Large High-Dimensional Data with Network Structure. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113602


University of Minnesota

8. Chen, Xi. Unsupervised methods to discover events from spatio-temporal data.

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

 Unsupervised event detection in spatio-temporal data aims to autonomously identify when and/or where events occurred with little or no human supervision. It is an active… (more)

Subjects/Keywords: event detection; heterogeneous data; missing value; noise; spatio-temporal data; unsupervised learning

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APA (6th Edition):

Chen, X. (2016). Unsupervised methods to discover events from spatio-temporal data. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/188854

Chicago Manual of Style (16th Edition):

Chen, Xi. “Unsupervised methods to discover events from spatio-temporal data.” 2016. Doctoral Dissertation, University of Minnesota. Accessed August 22, 2019. http://hdl.handle.net/11299/188854.

MLA Handbook (7th Edition):

Chen, Xi. “Unsupervised methods to discover events from spatio-temporal data.” 2016. Web. 22 Aug 2019.

Vancouver:

Chen X. Unsupervised methods to discover events from spatio-temporal data. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/11299/188854.

Council of Science Editors:

Chen X. Unsupervised methods to discover events from spatio-temporal data. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/188854


Texas A&M University

9. Park, Su Inn. PerCon: A Personal Digital Library for Heterogeneous Data Management and Analysis.

Degree: 2015, Texas A&M University

 Systems are needed to support access to and analysis of larger and more heterogeneous scientific datasets. Users need support in the location, organization, analysis, and… (more)

Subjects/Keywords: Heterogeneous data; data management; data analysis; software infrastructure; human-computer interaction; digital library; visual workspace; recommendation; recommender system; mixed-initiative interaction

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APA (6th Edition):

Park, S. I. (2015). PerCon: A Personal Digital Library for Heterogeneous Data Management and Analysis. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155033

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):

Park, Su Inn. “PerCon: A Personal Digital Library for Heterogeneous Data Management and Analysis.” 2015. Thesis, Texas A&M University. Accessed August 22, 2019. http://hdl.handle.net/1969.1/155033.

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

MLA Handbook (7th Edition):

Park, Su Inn. “PerCon: A Personal Digital Library for Heterogeneous Data Management and Analysis.” 2015. Web. 22 Aug 2019.

Vancouver:

Park SI. PerCon: A Personal Digital Library for Heterogeneous Data Management and Analysis. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1969.1/155033.

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

Council of Science Editors:

Park SI. PerCon: A Personal Digital Library for Heterogeneous Data Management and Analysis. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155033

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


UCLA

10. Wu, Di. Scaling Accelerator-Rich Systems for Big-Data Analytics.

Degree: Computer Science, 2017, UCLA

 As the Dennard scaling is coming to an end, the energy-density of computing devices can no longer increase. As a result, both industry and academia… (more)

Subjects/Keywords: Computer science; accelerator; big-data systems; deep learning; FPGA; heterogeneous systems; neural simulation

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APA (6th Edition):

Wu, D. (2017). Scaling Accelerator-Rich Systems for Big-Data Analytics. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/1m795574

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, Di. “Scaling Accelerator-Rich Systems for Big-Data Analytics.” 2017. Thesis, UCLA. Accessed August 22, 2019. http://www.escholarship.org/uc/item/1m795574.

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

MLA Handbook (7th Edition):

Wu, Di. “Scaling Accelerator-Rich Systems for Big-Data Analytics.” 2017. Web. 22 Aug 2019.

Vancouver:

Wu D. Scaling Accelerator-Rich Systems for Big-Data Analytics. [Internet] [Thesis]. UCLA; 2017. [cited 2019 Aug 22]. Available from: http://www.escholarship.org/uc/item/1m795574.

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

Council of Science Editors:

Wu D. Scaling Accelerator-Rich Systems for Big-Data Analytics. [Thesis]. UCLA; 2017. Available from: http://www.escholarship.org/uc/item/1m795574

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


University of Texas – Austin

11. Astroza, Sebastian. Flexible multiple discrete-continuous choice structures and mixed modeling.

Degree: Civil, Architectural, and Environmental Engineering, 2018, University of Texas – Austin

 In Multiple discrete-continuous (MDC) choice situations, consumers choose one or more alternatives from a set of alternatives jointly with the amount of the chosen alternative… (more)

Subjects/Keywords: Discrete choice; Multiple discrete-continuous model; Response heterogeneity; Generalized heterogeneous data model; Skew normal distribution

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APA (6th Edition):

Astroza, S. (2018). Flexible multiple discrete-continuous choice structures and mixed modeling. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68734

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):

Astroza, Sebastian. “Flexible multiple discrete-continuous choice structures and mixed modeling.” 2018. Thesis, University of Texas – Austin. Accessed August 22, 2019. http://hdl.handle.net/2152/68734.

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

MLA Handbook (7th Edition):

Astroza, Sebastian. “Flexible multiple discrete-continuous choice structures and mixed modeling.” 2018. Web. 22 Aug 2019.

Vancouver:

Astroza S. Flexible multiple discrete-continuous choice structures and mixed modeling. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/2152/68734.

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

Council of Science Editors:

Astroza S. Flexible multiple discrete-continuous choice structures and mixed modeling. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68734

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


University of Toronto

12. Eskandari, Nariman. A Modular Heterogeneous Communication Layer for a Cluster of FPGAs and CPUs.

Degree: 2018, University of Toronto

A key infrastructure required to make heterogeneous clusters easier to use is a standard communication mechanism between computing nodes. Without this infrastructure, application developers of… (more)

Subjects/Keywords: Communication Layer; Data Centers; FPGAs; Heterogeneous Computing; High-Performance Computing; Reconfigurable Computing; 0464

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APA (6th Edition):

Eskandari, N. (2018). A Modular Heterogeneous Communication Layer for a Cluster of FPGAs and CPUs. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/91684

Chicago Manual of Style (16th Edition):

Eskandari, Nariman. “A Modular Heterogeneous Communication Layer for a Cluster of FPGAs and CPUs.” 2018. Masters Thesis, University of Toronto. Accessed August 22, 2019. http://hdl.handle.net/1807/91684.

MLA Handbook (7th Edition):

Eskandari, Nariman. “A Modular Heterogeneous Communication Layer for a Cluster of FPGAs and CPUs.” 2018. Web. 22 Aug 2019.

Vancouver:

Eskandari N. A Modular Heterogeneous Communication Layer for a Cluster of FPGAs and CPUs. [Internet] [Masters thesis]. University of Toronto; 2018. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1807/91684.

Council of Science Editors:

Eskandari N. A Modular Heterogeneous Communication Layer for a Cluster of FPGAs and CPUs. [Masters Thesis]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/91684


University of New South Wales

13. Dang, Shaobo. Learning-Based Methods for Outlier Detection in Imbalanced and Heterogeneous Data.

Degree: Computer Science & Engineering, 2018, University of New South Wales

 This thesis describes novel approaches to the problem of outlier detection. It is one of the most important problems in the field of machine learning… (more)

Subjects/Keywords: Heterogeneous; Outlier Detection; One Class Classification; Metric Learning; Imbalanced Data; Multiple Kernel Learning

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APA (6th Edition):

Dang, S. (2018). Learning-Based Methods for Outlier Detection in Imbalanced and Heterogeneous Data. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/59789 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49734/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Dang, Shaobo. “Learning-Based Methods for Outlier Detection in Imbalanced and Heterogeneous Data.” 2018. Doctoral Dissertation, University of New South Wales. Accessed August 22, 2019. http://handle.unsw.edu.au/1959.4/59789 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49734/SOURCE02?view=true.

MLA Handbook (7th Edition):

Dang, Shaobo. “Learning-Based Methods for Outlier Detection in Imbalanced and Heterogeneous Data.” 2018. Web. 22 Aug 2019.

Vancouver:

Dang S. Learning-Based Methods for Outlier Detection in Imbalanced and Heterogeneous Data. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2019 Aug 22]. Available from: http://handle.unsw.edu.au/1959.4/59789 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49734/SOURCE02?view=true.

Council of Science Editors:

Dang S. Learning-Based Methods for Outlier Detection in Imbalanced and Heterogeneous Data. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/59789 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49734/SOURCE02?view=true


University of Texas Southwestern Medical Center

14. Xiang, Siheng. Chemical Footprinting of Polymeric Structure of hnRNPA2 Low Complexity Domain.

Degree: 2016, University of Texas Southwestern Medical Center

 Many DNA and RNA regulatory proteins contain polypeptide domains that are unstructured when analyzed in cell lysates. These domains are typified by an over-representation of… (more)

Subjects/Keywords: Cell Nucleus; Heterogeneous-Nuclear Ribonucleoprotein Group A-B; Molecular Sequence Data; Protein Structure, Tertiary

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APA (6th Edition):

Xiang, S. (2016). Chemical Footprinting of Polymeric Structure of hnRNPA2 Low Complexity Domain. (Thesis). University of Texas Southwestern Medical Center. Retrieved from http://hdl.handle.net/2152.5/5725

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):

Xiang, Siheng. “Chemical Footprinting of Polymeric Structure of hnRNPA2 Low Complexity Domain.” 2016. Thesis, University of Texas Southwestern Medical Center. Accessed August 22, 2019. http://hdl.handle.net/2152.5/5725.

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

MLA Handbook (7th Edition):

Xiang, Siheng. “Chemical Footprinting of Polymeric Structure of hnRNPA2 Low Complexity Domain.” 2016. Web. 22 Aug 2019.

Vancouver:

Xiang S. Chemical Footprinting of Polymeric Structure of hnRNPA2 Low Complexity Domain. [Internet] [Thesis]. University of Texas Southwestern Medical Center; 2016. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/2152.5/5725.

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

Council of Science Editors:

Xiang S. Chemical Footprinting of Polymeric Structure of hnRNPA2 Low Complexity Domain. [Thesis]. University of Texas Southwestern Medical Center; 2016. Available from: http://hdl.handle.net/2152.5/5725

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

15. Hobro, Mark. Semantic Integration across Heterogeneous Databases : Finding Data Correspondences using Agglomerative Hierarchical Clustering and Artificial Neural Networks.

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

The process of data integration is an important part of the database field when it comes to database migrations and the merging of data.… (more)

Subjects/Keywords: Semantic integration; data integration; artificial neural networks; agglomerative hierarchical clustering; heterogeneous databases; relational data; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Hobro, M. (2018). Semantic Integration across Heterogeneous Databases : Finding Data Correspondences using Agglomerative Hierarchical Clustering and Artificial Neural Networks. (Thesis). KTHKTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-226657

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):

Hobro, Mark. “Semantic Integration across Heterogeneous Databases : Finding Data Correspondences using Agglomerative Hierarchical Clustering and Artificial Neural Networks.” 2018. Thesis, KTHKTH. Accessed August 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-226657.

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

MLA Handbook (7th Edition):

Hobro, Mark. “Semantic Integration across Heterogeneous Databases : Finding Data Correspondences using Agglomerative Hierarchical Clustering and Artificial Neural Networks.” 2018. Web. 22 Aug 2019.

Vancouver:

Hobro M. Semantic Integration across Heterogeneous Databases : Finding Data Correspondences using Agglomerative Hierarchical Clustering and Artificial Neural Networks. [Internet] [Thesis]. KTHKTH; 2018. [cited 2019 Aug 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-226657.

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

Council of Science Editors:

Hobro M. Semantic Integration across Heterogeneous Databases : Finding Data Correspondences using Agglomerative Hierarchical Clustering and Artificial Neural Networks. [Thesis]. KTHKTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-226657

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


KTH

16. Bjuhr, Oscar. Dynamic Configuration of a Relocatable Driver and Code Generator for Continuous Deep Analytics.

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

Modern stream processing engines usually use the Java virtual machine (JVM) as execution platform. The JVM increases portability and safety of applications at the… (more)

Subjects/Keywords: Stream Processing; Heterogeneous Cluster; Big Data; Rust; Cargo; Docker; Ström Processor; Heterogent Kluster; Big Data; Rust; Cargo; Docker; 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):

Bjuhr, O. (2018). Dynamic Configuration of a Relocatable Driver and Code Generator for Continuous Deep Analytics. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232079

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):

Bjuhr, Oscar. “Dynamic Configuration of a Relocatable Driver and Code Generator for Continuous Deep Analytics.” 2018. Thesis, KTH. Accessed August 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232079.

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

MLA Handbook (7th Edition):

Bjuhr, Oscar. “Dynamic Configuration of a Relocatable Driver and Code Generator for Continuous Deep Analytics.” 2018. Web. 22 Aug 2019.

Vancouver:

Bjuhr O. Dynamic Configuration of a Relocatable Driver and Code Generator for Continuous Deep Analytics. [Internet] [Thesis]. KTH; 2018. [cited 2019 Aug 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232079.

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

Council of Science Editors:

Bjuhr O. Dynamic Configuration of a Relocatable Driver and Code Generator for Continuous Deep Analytics. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232079

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

17. Allanic, Marianne. Gestion et visualisation de données hétérogènes multidimensionnelles : application PLM à la neuroimagerie : Management and visualisation oh heterogeneous multidimensional data : PLM application to neuroimaging.

Degree: Docteur es, Mécanique Avancée, 2015, Compiègne

La neuroimagerie est confrontée à des difficultés pour analyser et réutiliser la masse croissante de données hétérogènes qu’elle produit. La provenance des données est complexe… (more)

Subjects/Keywords: Neuroimagerie; Gestion des données; Données hétérogènes; Données multidimensionnelles; Exploration; Data Management; Heterogeneous Data; Multidimensional data; Product Lifecycle Management (PLM); Visualisation; Exploration; Graph Theory; Neuroimaging

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

APA (6th Edition):

Allanic, M. (2015). Gestion et visualisation de données hétérogènes multidimensionnelles : application PLM à la neuroimagerie : Management and visualisation oh heterogeneous multidimensional data : PLM application to neuroimaging. (Doctoral Dissertation). Compiègne. Retrieved from http://www.theses.fr/2015COMP2248

Chicago Manual of Style (16th Edition):

Allanic, Marianne. “Gestion et visualisation de données hétérogènes multidimensionnelles : application PLM à la neuroimagerie : Management and visualisation oh heterogeneous multidimensional data : PLM application to neuroimaging.” 2015. Doctoral Dissertation, Compiègne. Accessed August 22, 2019. http://www.theses.fr/2015COMP2248.

MLA Handbook (7th Edition):

Allanic, Marianne. “Gestion et visualisation de données hétérogènes multidimensionnelles : application PLM à la neuroimagerie : Management and visualisation oh heterogeneous multidimensional data : PLM application to neuroimaging.” 2015. Web. 22 Aug 2019.

Vancouver:

Allanic M. Gestion et visualisation de données hétérogènes multidimensionnelles : application PLM à la neuroimagerie : Management and visualisation oh heterogeneous multidimensional data : PLM application to neuroimaging. [Internet] [Doctoral dissertation]. Compiègne; 2015. [cited 2019 Aug 22]. Available from: http://www.theses.fr/2015COMP2248.

Council of Science Editors:

Allanic M. Gestion et visualisation de données hétérogènes multidimensionnelles : application PLM à la neuroimagerie : Management and visualisation oh heterogeneous multidimensional data : PLM application to neuroimaging. [Doctoral Dissertation]. Compiègne; 2015. Available from: http://www.theses.fr/2015COMP2248


ETH Zürich

18. Velten, Britta. Multivariate Methods for Heterogeneous High-Dimensional Data in Genome Biology.

Degree: 2019, ETH Zürich

 Technological advances have transformed the scientific landscape by enabling comprehensive quantitative measurements, thereby increasingly facilitating data-driven research. This includes genome biology, where many data sets… (more)

Subjects/Keywords: data integration; genome biology; multivariate methods; penalised regression; structured regularisation; latent variable model; factor analysis; variational Bayes; dimensionality reduction; multi-omics; heterogeneous data; high-dimensional data

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

APA (6th Edition):

Velten, B. (2019). Multivariate Methods for Heterogeneous High-Dimensional Data in Genome Biology. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/333437

Chicago Manual of Style (16th Edition):

Velten, Britta. “Multivariate Methods for Heterogeneous High-Dimensional Data in Genome Biology.” 2019. Doctoral Dissertation, ETH Zürich. Accessed August 22, 2019. http://hdl.handle.net/20.500.11850/333437.

MLA Handbook (7th Edition):

Velten, Britta. “Multivariate Methods for Heterogeneous High-Dimensional Data in Genome Biology.” 2019. Web. 22 Aug 2019.

Vancouver:

Velten B. Multivariate Methods for Heterogeneous High-Dimensional Data in Genome Biology. [Internet] [Doctoral dissertation]. ETH Zürich; 2019. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/20.500.11850/333437.

Council of Science Editors:

Velten B. Multivariate Methods for Heterogeneous High-Dimensional Data in Genome Biology. [Doctoral Dissertation]. ETH Zürich; 2019. Available from: http://hdl.handle.net/20.500.11850/333437


Uppsala University

19. Brostedt, Nathan. Heterogeneous data in information system integration : A Case study designing and implementing an integration mechanism.

Degree: Informatics and Media, 2017, Uppsala University

  The data of different information systems is heterogeneous. As systems are being integrated, it’s necessary to bridge inconsistencies to reduce heterogenous data. To integrate… (more)

Subjects/Keywords: Information system; system Integration; mediation; case study; heterogeneous data; neutral entity model; Information Systems; Systemvetenskap, informationssystem och informatik

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

APA (6th Edition):

Brostedt, N. (2017). Heterogeneous data in information system integration : A Case study designing and implementing an integration mechanism. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325961

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):

Brostedt, Nathan. “Heterogeneous data in information system integration : A Case study designing and implementing an integration mechanism.” 2017. Thesis, Uppsala University. Accessed August 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325961.

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

MLA Handbook (7th Edition):

Brostedt, Nathan. “Heterogeneous data in information system integration : A Case study designing and implementing an integration mechanism.” 2017. Web. 22 Aug 2019.

Vancouver:

Brostedt N. Heterogeneous data in information system integration : A Case study designing and implementing an integration mechanism. [Internet] [Thesis]. Uppsala University; 2017. [cited 2019 Aug 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325961.

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

Council of Science Editors:

Brostedt N. Heterogeneous data in information system integration : A Case study designing and implementing an integration mechanism. [Thesis]. Uppsala University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325961

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


Linköping University

20. Ericsson, Joakim. Object Migration in a Distributed, Heterogeneous SQL Database Network.

Degree: Database and information techniques, 2018, Linköping University

  There are many different database management systems (DBMSs) on the market today. They all have different strengths and weaknesses. What if all of these… (more)

Subjects/Keywords: Database; DBMS; Distributed Network; Heterogeneous; SQL Database; RDBMS; relational; Performance; 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):

Ericsson, J. (2018). Object Migration in a Distributed, Heterogeneous SQL Database Network. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148181

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):

Ericsson, Joakim. “Object Migration in a Distributed, Heterogeneous SQL Database Network.” 2018. Thesis, Linköping University. Accessed August 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148181.

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

MLA Handbook (7th Edition):

Ericsson, Joakim. “Object Migration in a Distributed, Heterogeneous SQL Database Network.” 2018. Web. 22 Aug 2019.

Vancouver:

Ericsson J. Object Migration in a Distributed, Heterogeneous SQL Database Network. [Internet] [Thesis]. Linköping University; 2018. [cited 2019 Aug 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148181.

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

Council of Science Editors:

Ericsson J. Object Migration in a Distributed, Heterogeneous SQL Database Network. [Thesis]. Linköping University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148181

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


University of California – Riverside

21. Belviranli, Mehmet Esat. Efficient Execution of Scientific Applications on Heterogeneous Architectures.

Degree: Computer Science, 2016, University of California – Riverside

 Today's heterogeneous architectures bring together multiple general purpose CPUs, domain specific GPUs and FPGAs to provide dramatic speedup for many applications. However, the challenge lies… (more)

Subjects/Keywords: Computer science; Data-dependent Applications; GP-GPU Computing; Heterogeneous Architectures; Processor Synchronization; Wavefront Parallelism; Workload Partitioning

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

APA (6th Edition):

Belviranli, M. E. (2016). Efficient Execution of Scientific Applications on Heterogeneous Architectures. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/8kn3j3pd

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):

Belviranli, Mehmet Esat. “Efficient Execution of Scientific Applications on Heterogeneous Architectures.” 2016. Thesis, University of California – Riverside. Accessed August 22, 2019. http://www.escholarship.org/uc/item/8kn3j3pd.

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

MLA Handbook (7th Edition):

Belviranli, Mehmet Esat. “Efficient Execution of Scientific Applications on Heterogeneous Architectures.” 2016. Web. 22 Aug 2019.

Vancouver:

Belviranli ME. Efficient Execution of Scientific Applications on Heterogeneous Architectures. [Internet] [Thesis]. University of California – Riverside; 2016. [cited 2019 Aug 22]. Available from: http://www.escholarship.org/uc/item/8kn3j3pd.

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

Council of Science Editors:

Belviranli ME. Efficient Execution of Scientific Applications on Heterogeneous Architectures. [Thesis]. University of California – Riverside; 2016. Available from: http://www.escholarship.org/uc/item/8kn3j3pd

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


Virginia Tech

22. Su, Chun-Yi. Energy-aware Thread and Data Management in Heterogeneous Multi-Core, Multi-Memory Systems.

Degree: PhD, Computer Science, 2015, Virginia Tech

 By 2004, microprocessor design focused on multicore scaling"increasing the number of cores per die in each generation "as the primary strategy for improving performance. These… (more)

Subjects/Keywords: Thread Management; Multi-core Processors; Performance Modeling and Analysis; Power-Aware Computing; Heterogeneous Memory; Data Management

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

APA (6th Edition):

Su, C. (2015). Energy-aware Thread and Data Management in Heterogeneous Multi-Core, Multi-Memory Systems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51255

Chicago Manual of Style (16th Edition):

Su, Chun-Yi. “Energy-aware Thread and Data Management in Heterogeneous Multi-Core, Multi-Memory Systems.” 2015. Doctoral Dissertation, Virginia Tech. Accessed August 22, 2019. http://hdl.handle.net/10919/51255.

MLA Handbook (7th Edition):

Su, Chun-Yi. “Energy-aware Thread and Data Management in Heterogeneous Multi-Core, Multi-Memory Systems.” 2015. Web. 22 Aug 2019.

Vancouver:

Su C. Energy-aware Thread and Data Management in Heterogeneous Multi-Core, Multi-Memory Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/10919/51255.

Council of Science Editors:

Su C. Energy-aware Thread and Data Management in Heterogeneous Multi-Core, Multi-Memory Systems. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51255


Kansas State University

23. Chitakasempornkul, Kessinee. Addressing challenges of hierarchical structural equation modeling in animal agriculture.

Degree: PhD, Department of Statistics, 2019, Kansas State University

 Feeding a world population of 9 billion people by 2050 is a fundamental challenge of our generation. Animal agriculture is positioned to play a major… (more)

Subjects/Keywords: Animal agriculture; Data architecture; Hierarchcial Bayesian models; Heterogeneous structural coefficients; Multi-level correlation; Structural equation models

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

APA (6th Edition):

Chitakasempornkul, K. (2019). Addressing challenges of hierarchical structural equation modeling in animal agriculture. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/39490

Chicago Manual of Style (16th Edition):

Chitakasempornkul, Kessinee. “Addressing challenges of hierarchical structural equation modeling in animal agriculture.” 2019. Doctoral Dissertation, Kansas State University. Accessed August 22, 2019. http://hdl.handle.net/2097/39490.

MLA Handbook (7th Edition):

Chitakasempornkul, Kessinee. “Addressing challenges of hierarchical structural equation modeling in animal agriculture.” 2019. Web. 22 Aug 2019.

Vancouver:

Chitakasempornkul K. Addressing challenges of hierarchical structural equation modeling in animal agriculture. [Internet] [Doctoral dissertation]. Kansas State University; 2019. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/2097/39490.

Council of Science Editors:

Chitakasempornkul K. Addressing challenges of hierarchical structural equation modeling in animal agriculture. [Doctoral Dissertation]. Kansas State University; 2019. Available from: http://hdl.handle.net/2097/39490

24. Brunie, Hugo. Optimisation des allocations de données pour des applications du Calcul Haute Performance sur une architecture à mémoires hétérogènes : Data Allocation Optimisation for High Performance Computing Application on Heterogeneous Architecture.

Degree: Docteur es, Informatique, 2019, Bordeaux

Le Calcul Haute Performance, regroupant l’ensemble des acteurs responsables de l’amélioration des performances de calcul des applications scientifiques sur supercalculateurs, s’est donné pour objectif d’atteindre… (more)

Subjects/Keywords: Profilage; Allocation de données; Memoires hétérogènes; Optimisation combinatoire; Data allocation; Memory management; Heterogeneous Memory Architecture; Profiling; Combinatorial optimization

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

APA (6th Edition):

Brunie, H. (2019). Optimisation des allocations de données pour des applications du Calcul Haute Performance sur une architecture à mémoires hétérogènes : Data Allocation Optimisation for High Performance Computing Application on Heterogeneous Architecture. (Doctoral Dissertation). Bordeaux. Retrieved from http://www.theses.fr/2019BORD0014

Chicago Manual of Style (16th Edition):

Brunie, Hugo. “Optimisation des allocations de données pour des applications du Calcul Haute Performance sur une architecture à mémoires hétérogènes : Data Allocation Optimisation for High Performance Computing Application on Heterogeneous Architecture.” 2019. Doctoral Dissertation, Bordeaux. Accessed August 22, 2019. http://www.theses.fr/2019BORD0014.

MLA Handbook (7th Edition):

Brunie, Hugo. “Optimisation des allocations de données pour des applications du Calcul Haute Performance sur une architecture à mémoires hétérogènes : Data Allocation Optimisation for High Performance Computing Application on Heterogeneous Architecture.” 2019. Web. 22 Aug 2019.

Vancouver:

Brunie H. Optimisation des allocations de données pour des applications du Calcul Haute Performance sur une architecture à mémoires hétérogènes : Data Allocation Optimisation for High Performance Computing Application on Heterogeneous Architecture. [Internet] [Doctoral dissertation]. Bordeaux; 2019. [cited 2019 Aug 22]. Available from: http://www.theses.fr/2019BORD0014.

Council of Science Editors:

Brunie H. Optimisation des allocations de données pour des applications du Calcul Haute Performance sur une architecture à mémoires hétérogènes : Data Allocation Optimisation for High Performance Computing Application on Heterogeneous Architecture. [Doctoral Dissertation]. Bordeaux; 2019. Available from: http://www.theses.fr/2019BORD0014


Northeastern University

25. Sun, Enqiang. Cross-platform heterogeneous runtime environment.

Degree: PhD, Department of Electrical and Computer Engineering, 2016, Northeastern University

Heterogeneous platforms are becoming widely adopted thanks for the support from new languages and programming models. Among these languages/models, OpenCL is an industry standard for… (more)

Subjects/Keywords: parallel computing; runtime; Heterogeneous computing; Parallel programming (Computer science); Parallel processing (Electronic computers); Parallel computers; Electronic data processing; Distributed processing

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

APA (6th Edition):

Sun, E. (2016). Cross-platform heterogeneous runtime environment. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20213163

Chicago Manual of Style (16th Edition):

Sun, Enqiang. “Cross-platform heterogeneous runtime environment.” 2016. Doctoral Dissertation, Northeastern University. Accessed August 22, 2019. http://hdl.handle.net/2047/D20213163.

MLA Handbook (7th Edition):

Sun, Enqiang. “Cross-platform heterogeneous runtime environment.” 2016. Web. 22 Aug 2019.

Vancouver:

Sun E. Cross-platform heterogeneous runtime environment. [Internet] [Doctoral dissertation]. Northeastern University; 2016. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/2047/D20213163.

Council of Science Editors:

Sun E. Cross-platform heterogeneous runtime environment. [Doctoral Dissertation]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20213163


University of Michigan

26. Hong, David. Learning Low-Dimensional Models for Heterogeneous Data.

Degree: PhD, Electrical Engineering: Systems, 2019, University of Michigan

 Modern data analysis increasingly involves extracting insights, trends and patterns from large and messy data collected from myriad heterogeneous sources. The scale and heterogeneity present… (more)

Subjects/Keywords: low-dimensional models; heterogeneous data; random matrix theory; principal component analysis; tensor decomposition; unions of subspaces; Computer Science; Electrical Engineering; Engineering

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

APA (6th Edition):

Hong, D. (2019). Learning Low-Dimensional Models for Heterogeneous Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/150043

Chicago Manual of Style (16th Edition):

Hong, David. “Learning Low-Dimensional Models for Heterogeneous Data.” 2019. Doctoral Dissertation, University of Michigan. Accessed August 22, 2019. http://hdl.handle.net/2027.42/150043.

MLA Handbook (7th Edition):

Hong, David. “Learning Low-Dimensional Models for Heterogeneous Data.” 2019. Web. 22 Aug 2019.

Vancouver:

Hong D. Learning Low-Dimensional Models for Heterogeneous Data. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/2027.42/150043.

Council of Science Editors:

Hong D. Learning Low-Dimensional Models for Heterogeneous Data. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/150043


Brno University of Technology

27. Mikita, Tibor. Portál pro agregaci dat z webových zdrojů .

Degree: 2019, Brno University of Technology

 Táto práca sa zaoberá extrakciou a následnou agregáciou dát z heterogénnych webových zdrojov. Cieľom je vytvorenie portálu, funkčnej webovej aplikácie, využívajúcej vhodné technológie. Hlavné zameranie… (more)

Subjects/Keywords: web; extrakcia dát; flexibilné dátové modely; heterogénne webové zdroje; zhromažďovanie dát; jednotná prezentácia dát; webový portál; web; data extraction; flexible data models; heterogeneous web sources; data aggregation; uniform data presentation; web portal

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APA (6th Edition):

Mikita, T. (2019). Portál pro agregaci dat z webových zdrojů . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180340

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):

Mikita, Tibor. “Portál pro agregaci dat z webových zdrojů .” 2019. Thesis, Brno University of Technology. Accessed August 22, 2019. http://hdl.handle.net/11012/180340.

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

MLA Handbook (7th Edition):

Mikita, Tibor. “Portál pro agregaci dat z webových zdrojů .” 2019. Web. 22 Aug 2019.

Vancouver:

Mikita T. Portál pro agregaci dat z webových zdrojů . [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/11012/180340.

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

Council of Science Editors:

Mikita T. Portál pro agregaci dat z webových zdrojů . [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180340

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


RMIT University

28. Rahaman, M. Context-aware mobility analytics and trip planning.

Degree: 2018, RMIT University

 The study of user mobility is to understand and analyse the movement of individuals in the spatial and temporal domains. Mobility analytics and trip planning… (more)

Subjects/Keywords: Fields of Research; Context-aware Mobility; Accessible trip planning; Wait time prediction; Queue context prediction; Heterogeneous data fusion; Machine learning; Predictive analytics

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

APA (6th Edition):

Rahaman, M. (2018). Context-aware mobility analytics and trip planning. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162409

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):

Rahaman, M. “Context-aware mobility analytics and trip planning.” 2018. Thesis, RMIT University. Accessed August 22, 2019. http://researchbank.rmit.edu.au/view/rmit:162409.

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

MLA Handbook (7th Edition):

Rahaman, M. “Context-aware mobility analytics and trip planning.” 2018. Web. 22 Aug 2019.

Vancouver:

Rahaman M. Context-aware mobility analytics and trip planning. [Internet] [Thesis]. RMIT University; 2018. [cited 2019 Aug 22]. Available from: http://researchbank.rmit.edu.au/view/rmit:162409.

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

Council of Science Editors:

Rahaman M. Context-aware mobility analytics and trip planning. [Thesis]. RMIT University; 2018. Available from: http://researchbank.rmit.edu.au/view/rmit:162409

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


University of California – Irvine

29. Kim, Myoungseo. I/O Design and Core Power Management Issues in Heterogeneous Multi/Many-Core System-on-Chip.

Degree: Computer Science, 2016, University of California – Irvine

 Since dark silicon and the end of multicore scaling, multi/many-core system-on-a-chip (SoC) platform designs nowadays are facing some conflicting issues regarding product development. One is… (more)

Subjects/Keywords: Computer science; Computer engineering; Electrical engineering; Design Automation; Design Efficiency and Power Saving; Extended Amdahl's Law; Heterogeneous System Architecture; Multi/Many-Core System-on-a-Chip; Overhead of Data Preparation

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

APA (6th Edition):

Kim, M. (2016). I/O Design and Core Power Management Issues in Heterogeneous Multi/Many-Core System-on-Chip. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/9g80m9bd

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):

Kim, Myoungseo. “I/O Design and Core Power Management Issues in Heterogeneous Multi/Many-Core System-on-Chip.” 2016. Thesis, University of California – Irvine. Accessed August 22, 2019. http://www.escholarship.org/uc/item/9g80m9bd.

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

MLA Handbook (7th Edition):

Kim, Myoungseo. “I/O Design and Core Power Management Issues in Heterogeneous Multi/Many-Core System-on-Chip.” 2016. Web. 22 Aug 2019.

Vancouver:

Kim M. I/O Design and Core Power Management Issues in Heterogeneous Multi/Many-Core System-on-Chip. [Internet] [Thesis]. University of California – Irvine; 2016. [cited 2019 Aug 22]. Available from: http://www.escholarship.org/uc/item/9g80m9bd.

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

Council of Science Editors:

Kim M. I/O Design and Core Power Management Issues in Heterogeneous Multi/Many-Core System-on-Chip. [Thesis]. University of California – Irvine; 2016. Available from: http://www.escholarship.org/uc/item/9g80m9bd

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

30. C. Punzo. ESSAYS ON BORROWING-CONSTRAINED AGENTS IN A DSGE MODEL.

Degree: 2016, Università degli Studi di Milano

 This thesis is an attempt to contribute to the literature on New-Keynesian Dynamic Stochastic General Equilibrium models with heterogeneous households. In this respect, the economies… (more)

Subjects/Keywords: Public Debt; Redistribution; Borrowing Constraints; DSGE; Heterogeneous Households; Debt-Financed Fiscal Policy; Seigniorage; Bayesian Estimation; US data; New Keynesian; Settore SECS-P/01 - Economia Politica

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

APA (6th Edition):

Punzo, C. (2016). ESSAYS ON BORROWING-CONSTRAINED AGENTS IN A DSGE MODEL. (Thesis). Università degli Studi di Milano. Retrieved from http://hdl.handle.net/2434/452068

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):

Punzo, C.. “ESSAYS ON BORROWING-CONSTRAINED AGENTS IN A DSGE MODEL.” 2016. Thesis, Università degli Studi di Milano. Accessed August 22, 2019. http://hdl.handle.net/2434/452068.

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

MLA Handbook (7th Edition):

Punzo, C.. “ESSAYS ON BORROWING-CONSTRAINED AGENTS IN A DSGE MODEL.” 2016. Web. 22 Aug 2019.

Vancouver:

Punzo C. ESSAYS ON BORROWING-CONSTRAINED AGENTS IN A DSGE MODEL. [Internet] [Thesis]. Università degli Studi di Milano; 2016. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/2434/452068.

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

Council of Science Editors:

Punzo C. ESSAYS ON BORROWING-CONSTRAINED AGENTS IN A DSGE MODEL. [Thesis]. Università degli Studi di Milano; 2016. Available from: http://hdl.handle.net/2434/452068

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

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