Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(big data). Showing records 1 – 30 of 1751 total matches.

[1] [2] [3] [4] [5] … [59]

Search Limiters

Last 2 Years | English Only

Degrees

Levels

Languages

Country

▼ Search Limiters


San Jose State University

1. Desai, Khushali Yashodhar. Big Data Quality Modeling And Validation.

Degree: MS, Computer Engineering, 2018, San Jose State University

  The chief purpose of this study is to characterize various big data quality models and to validate each with an example. As the volume… (more)

Subjects/Keywords: Big Data; Big Data Quality

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Desai, K. Y. (2018). Big Data Quality Modeling And Validation. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.c68w-98uf ; https://scholarworks.sjsu.edu/etd_theses/4898

Chicago Manual of Style (16th Edition):

Desai, Khushali Yashodhar. “Big Data Quality Modeling And Validation.” 2018. Masters Thesis, San Jose State University. Accessed March 01, 2021. https://doi.org/10.31979/etd.c68w-98uf ; https://scholarworks.sjsu.edu/etd_theses/4898.

MLA Handbook (7th Edition):

Desai, Khushali Yashodhar. “Big Data Quality Modeling And Validation.” 2018. Web. 01 Mar 2021.

Vancouver:

Desai KY. Big Data Quality Modeling And Validation. [Internet] [Masters thesis]. San Jose State University; 2018. [cited 2021 Mar 01]. Available from: https://doi.org/10.31979/etd.c68w-98uf ; https://scholarworks.sjsu.edu/etd_theses/4898.

Council of Science Editors:

Desai KY. Big Data Quality Modeling And Validation. [Masters Thesis]. San Jose State University; 2018. Available from: https://doi.org/10.31979/etd.c68w-98uf ; https://scholarworks.sjsu.edu/etd_theses/4898

2. Zgraggen, Emanuel Albert Errol. Towards Accessible Data Analysis.

Degree: Department of Computer Science, 2018, Brown University

 In today's world data is ubiquitous. Increasingly large and complex datasets are gathered across many domains. Data analysis - making sense of all this data(more)

Subjects/Keywords: Big data

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zgraggen, E. A. E. (2018). Towards Accessible Data Analysis. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:792684/

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):

Zgraggen, Emanuel Albert Errol. “Towards Accessible Data Analysis.” 2018. Thesis, Brown University. Accessed March 01, 2021. https://repository.library.brown.edu/studio/item/bdr:792684/.

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

MLA Handbook (7th Edition):

Zgraggen, Emanuel Albert Errol. “Towards Accessible Data Analysis.” 2018. Web. 01 Mar 2021.

Vancouver:

Zgraggen EAE. Towards Accessible Data Analysis. [Internet] [Thesis]. Brown University; 2018. [cited 2021 Mar 01]. Available from: https://repository.library.brown.edu/studio/item/bdr:792684/.

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

Council of Science Editors:

Zgraggen EAE. Towards Accessible Data Analysis. [Thesis]. Brown University; 2018. Available from: https://repository.library.brown.edu/studio/item/bdr:792684/

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


Wake Forest University

3. Bowling, Roy Nathaniel. Big Data and the Rhetorical Narrative.

Degree: 2014, Wake Forest University

 This project effectively illustrates a tactic by which the constructs of narrative inquiry from a humanist perspective, in particular the rhetorical narrative tradition, can migrate… (more)

Subjects/Keywords: Big Data

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bowling, R. N. (2014). Big Data and the Rhetorical Narrative. (Thesis). Wake Forest University. Retrieved from http://hdl.handle.net/10339/47448

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):

Bowling, Roy Nathaniel. “Big Data and the Rhetorical Narrative.” 2014. Thesis, Wake Forest University. Accessed March 01, 2021. http://hdl.handle.net/10339/47448.

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

MLA Handbook (7th Edition):

Bowling, Roy Nathaniel. “Big Data and the Rhetorical Narrative.” 2014. Web. 01 Mar 2021.

Vancouver:

Bowling RN. Big Data and the Rhetorical Narrative. [Internet] [Thesis]. Wake Forest University; 2014. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10339/47448.

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

Council of Science Editors:

Bowling RN. Big Data and the Rhetorical Narrative. [Thesis]. Wake Forest University; 2014. Available from: http://hdl.handle.net/10339/47448

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


California State Polytechnic University – Pomona

4. Singh, Darvesh Pari. Big Data - Performance Analysis Of Hadoop.

Degree: MS, Computer Science, 2017, California State Polytechnic University – Pomona

 Clustering data stream is an important branch of mining data stream. Due to the dynamic nature of the data stream and large, traditional data mining… (more)

Subjects/Keywords: big data

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Singh, D. P. (2017). Big Data - Performance Analysis Of Hadoop. (Masters Thesis). California State Polytechnic University – Pomona. Retrieved from http://hdl.handle.net/10211.3/189329

Chicago Manual of Style (16th Edition):

Singh, Darvesh Pari. “Big Data - Performance Analysis Of Hadoop.” 2017. Masters Thesis, California State Polytechnic University – Pomona. Accessed March 01, 2021. http://hdl.handle.net/10211.3/189329.

MLA Handbook (7th Edition):

Singh, Darvesh Pari. “Big Data - Performance Analysis Of Hadoop.” 2017. Web. 01 Mar 2021.

Vancouver:

Singh DP. Big Data - Performance Analysis Of Hadoop. [Internet] [Masters thesis]. California State Polytechnic University – Pomona; 2017. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10211.3/189329.

Council of Science Editors:

Singh DP. Big Data - Performance Analysis Of Hadoop. [Masters Thesis]. California State Polytechnic University – Pomona; 2017. Available from: http://hdl.handle.net/10211.3/189329


University of KwaZulu-Natal

5. Vela Vela, Junior. The employees’ perception on the adoption of big data analytics by selected medical aid organisations in Durban.

Degree: 2017, University of KwaZulu-Natal

 The increase of number of data available in today’s world has prompted different industries to find a way to get the value out of the… (more)

Subjects/Keywords: Big data analysis.; Technology.; Big data.; Adoption.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Vela Vela, J. (2017). The employees’ perception on the adoption of big data analytics by selected medical aid organisations in Durban. (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/15171

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):

Vela Vela, Junior. “The employees’ perception on the adoption of big data analytics by selected medical aid organisations in Durban.” 2017. Thesis, University of KwaZulu-Natal. Accessed March 01, 2021. http://hdl.handle.net/10413/15171.

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

MLA Handbook (7th Edition):

Vela Vela, Junior. “The employees’ perception on the adoption of big data analytics by selected medical aid organisations in Durban.” 2017. Web. 01 Mar 2021.

Vancouver:

Vela Vela J. The employees’ perception on the adoption of big data analytics by selected medical aid organisations in Durban. [Internet] [Thesis]. University of KwaZulu-Natal; 2017. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10413/15171.

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

Council of Science Editors:

Vela Vela J. The employees’ perception on the adoption of big data analytics by selected medical aid organisations in Durban. [Thesis]. University of KwaZulu-Natal; 2017. Available from: http://hdl.handle.net/10413/15171

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


Delft University of Technology

6. Gloudemans, T.W. (author). Aircraft Performance Parameter Estimation using Global ADS-B and Open Data.

Degree: 2016, Delft University of Technology

To enable low cost open source ATM simulations the University of Technology Delft is developing an open source ATM simulator Bluesky. A method was developed… (more)

Subjects/Keywords: ADSB; Big Data

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Gloudemans, T. W. (. (2016). Aircraft Performance Parameter Estimation using Global ADS-B and Open Data. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6b210945-7004-430e-884e-72b27a7f5acc

Chicago Manual of Style (16th Edition):

Gloudemans, T W (author). “Aircraft Performance Parameter Estimation using Global ADS-B and Open Data.” 2016. Masters Thesis, Delft University of Technology. Accessed March 01, 2021. http://resolver.tudelft.nl/uuid:6b210945-7004-430e-884e-72b27a7f5acc.

MLA Handbook (7th Edition):

Gloudemans, T W (author). “Aircraft Performance Parameter Estimation using Global ADS-B and Open Data.” 2016. Web. 01 Mar 2021.

Vancouver:

Gloudemans TW(. Aircraft Performance Parameter Estimation using Global ADS-B and Open Data. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2021 Mar 01]. Available from: http://resolver.tudelft.nl/uuid:6b210945-7004-430e-884e-72b27a7f5acc.

Council of Science Editors:

Gloudemans TW(. Aircraft Performance Parameter Estimation using Global ADS-B and Open Data. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:6b210945-7004-430e-884e-72b27a7f5acc


Universidade do Minho

7. Torres, Hugo Miguel Oliveira. Benchmarking de tecnologias de Big Data aplicadas à saúde-medicina .

Degree: 2017, Universidade do Minho

 Os avanços tecnológicos observados nas últimas décadas levaram a um aumento no volume e variedade dos dados gerados. Esses dados, quando armazenados, processados e analisados,… (more)

Subjects/Keywords: Big data; Big data technologies; Big data in healthcare; Benchmarking

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Torres, H. M. O. (2017). Benchmarking de tecnologias de Big Data aplicadas à saúde-medicina . (Masters Thesis). Universidade do Minho. Retrieved from http://hdl.handle.net/1822/54930

Chicago Manual of Style (16th Edition):

Torres, Hugo Miguel Oliveira. “Benchmarking de tecnologias de Big Data aplicadas à saúde-medicina .” 2017. Masters Thesis, Universidade do Minho. Accessed March 01, 2021. http://hdl.handle.net/1822/54930.

MLA Handbook (7th Edition):

Torres, Hugo Miguel Oliveira. “Benchmarking de tecnologias de Big Data aplicadas à saúde-medicina .” 2017. Web. 01 Mar 2021.

Vancouver:

Torres HMO. Benchmarking de tecnologias de Big Data aplicadas à saúde-medicina . [Internet] [Masters thesis]. Universidade do Minho; 2017. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1822/54930.

Council of Science Editors:

Torres HMO. Benchmarking de tecnologias de Big Data aplicadas à saúde-medicina . [Masters Thesis]. Universidade do Minho; 2017. Available from: http://hdl.handle.net/1822/54930


Delft University of Technology

8. Verheij, B.A. (author). The process of big data solution adoption.

Degree: 2013, Delft University of Technology

This research concerned the process of big data solution adoption and the main issues that firms experience in this process. Using eight cases within the… (more)

Subjects/Keywords: big data; big data solution; NoSQL; big data solution adoption

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Verheij, B. A. (. (2013). The process of big data solution adoption. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:369986f0-dd24-4855-aa85-8f69a3325191

Chicago Manual of Style (16th Edition):

Verheij, B A (author). “The process of big data solution adoption.” 2013. Masters Thesis, Delft University of Technology. Accessed March 01, 2021. http://resolver.tudelft.nl/uuid:369986f0-dd24-4855-aa85-8f69a3325191.

MLA Handbook (7th Edition):

Verheij, B A (author). “The process of big data solution adoption.” 2013. Web. 01 Mar 2021.

Vancouver:

Verheij BA(. The process of big data solution adoption. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2021 Mar 01]. Available from: http://resolver.tudelft.nl/uuid:369986f0-dd24-4855-aa85-8f69a3325191.

Council of Science Editors:

Verheij BA(. The process of big data solution adoption. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:369986f0-dd24-4855-aa85-8f69a3325191


University of Saskatchewan

9. Turland, Madeline G 1993-. Farmers’ willingness to participate in a big data sharing program: A study of Saskatchewan grain farmers.

Degree: 2018, University of Saskatchewan

Big data in crop agriculture is information collected by sophisticated machinery at the farm level, as well as externally generated data, such as field satellite… (more)

Subjects/Keywords: big data; data sharing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Turland, M. G. 1. (2018). Farmers’ willingness to participate in a big data sharing program: A study of Saskatchewan grain farmers. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/11053

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):

Turland, Madeline G 1993-. “Farmers’ willingness to participate in a big data sharing program: A study of Saskatchewan grain farmers.” 2018. Thesis, University of Saskatchewan. Accessed March 01, 2021. http://hdl.handle.net/10388/11053.

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

MLA Handbook (7th Edition):

Turland, Madeline G 1993-. “Farmers’ willingness to participate in a big data sharing program: A study of Saskatchewan grain farmers.” 2018. Web. 01 Mar 2021.

Vancouver:

Turland MG1. Farmers’ willingness to participate in a big data sharing program: A study of Saskatchewan grain farmers. [Internet] [Thesis]. University of Saskatchewan; 2018. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10388/11053.

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

Council of Science Editors:

Turland MG1. Farmers’ willingness to participate in a big data sharing program: A study of Saskatchewan grain farmers. [Thesis]. University of Saskatchewan; 2018. Available from: http://hdl.handle.net/10388/11053

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


Montana State University

10. Ganesan Pillai, Karthik. Mining spatiotemporal co-occurrence patterns from massive data sets with evolving regions.

Degree: PhD, College of Engineering, 2014, Montana State University

 Due to the current rates of data acquisition, the growth of data volumes in nearly all domains of our lives is reaching historic proportions [5],… (more)

Subjects/Keywords: Data mining.; Big data.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ganesan Pillai, K. (2014). Mining spatiotemporal co-occurrence patterns from massive data sets with evolving regions. (Doctoral Dissertation). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/9422

Chicago Manual of Style (16th Edition):

Ganesan Pillai, Karthik. “Mining spatiotemporal co-occurrence patterns from massive data sets with evolving regions.” 2014. Doctoral Dissertation, Montana State University. Accessed March 01, 2021. https://scholarworks.montana.edu/xmlui/handle/1/9422.

MLA Handbook (7th Edition):

Ganesan Pillai, Karthik. “Mining spatiotemporal co-occurrence patterns from massive data sets with evolving regions.” 2014. Web. 01 Mar 2021.

Vancouver:

Ganesan Pillai K. Mining spatiotemporal co-occurrence patterns from massive data sets with evolving regions. [Internet] [Doctoral dissertation]. Montana State University; 2014. [cited 2021 Mar 01]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9422.

Council of Science Editors:

Ganesan Pillai K. Mining spatiotemporal co-occurrence patterns from massive data sets with evolving regions. [Doctoral Dissertation]. Montana State University; 2014. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9422


University of Hawaii – Manoa

11. Kang, Qiuling. Sentiment analysis of big social data with Apache Hadoop.

Degree: 2015, University of Hawaii – Manoa

M.S. University of Hawaii at Manoa 2014.

Twitter is a microblog service and is a very popular communication mechanism. Users of Twitter express their interests,… (more)

Subjects/Keywords: Twitter data sets; big data

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kang, Q. (2015). Sentiment analysis of big social data with Apache Hadoop. (Thesis). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/101227

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):

Kang, Qiuling. “Sentiment analysis of big social data with Apache Hadoop.” 2015. Thesis, University of Hawaii – Manoa. Accessed March 01, 2021. http://hdl.handle.net/10125/101227.

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

MLA Handbook (7th Edition):

Kang, Qiuling. “Sentiment analysis of big social data with Apache Hadoop.” 2015. Web. 01 Mar 2021.

Vancouver:

Kang Q. Sentiment analysis of big social data with Apache Hadoop. [Internet] [Thesis]. University of Hawaii – Manoa; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10125/101227.

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

Council of Science Editors:

Kang Q. Sentiment analysis of big social data with Apache Hadoop. [Thesis]. University of Hawaii – Manoa; 2015. Available from: http://hdl.handle.net/10125/101227

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


Rutgers University

12. Patel, Jimit. Real time big data mining.

Degree: MS, Computer Science, 2015, Rutgers University

 This thesis presents a parallel implementation of data streaming algorithms for multiple streams. Thousands of data streams are generated in different industries like finance, health,… (more)

Subjects/Keywords: Big data; Data mining

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Patel, J. (2015). Real time big data mining. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/49077/

Chicago Manual of Style (16th Edition):

Patel, Jimit. “Real time big data mining.” 2015. Masters Thesis, Rutgers University. Accessed March 01, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/49077/.

MLA Handbook (7th Edition):

Patel, Jimit. “Real time big data mining.” 2015. Web. 01 Mar 2021.

Vancouver:

Patel J. Real time big data mining. [Internet] [Masters thesis]. Rutgers University; 2015. [cited 2021 Mar 01]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49077/.

Council of Science Editors:

Patel J. Real time big data mining. [Masters Thesis]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49077/


Tampere University

13. Syrjärinne, Paula. Urban Traffic Analysis with Bus Location Data .

Degree: 2016, Tampere University

 Tässä työssä esitellään Tampereen alueen julkisen liikenteen linja-autoista kerätyn datan käyttöä ja analysointia. Aineistoa on analysoitu useilla eri algoritmeilla ja monesta eri näkökulmasta. Osa analyyseista… (more)

Subjects/Keywords: data-analyysi ; big data ; älyliikenne ; data analysis ; big data ; ITS

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Syrjärinne, P. (2016). Urban Traffic Analysis with Bus Location Data . (Doctoral Dissertation). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/98613

Chicago Manual of Style (16th Edition):

Syrjärinne, Paula. “Urban Traffic Analysis with Bus Location Data .” 2016. Doctoral Dissertation, Tampere University. Accessed March 01, 2021. https://trepo.tuni.fi/handle/10024/98613.

MLA Handbook (7th Edition):

Syrjärinne, Paula. “Urban Traffic Analysis with Bus Location Data .” 2016. Web. 01 Mar 2021.

Vancouver:

Syrjärinne P. Urban Traffic Analysis with Bus Location Data . [Internet] [Doctoral dissertation]. Tampere University; 2016. [cited 2021 Mar 01]. Available from: https://trepo.tuni.fi/handle/10024/98613.

Council of Science Editors:

Syrjärinne P. Urban Traffic Analysis with Bus Location Data . [Doctoral Dissertation]. Tampere University; 2016. Available from: https://trepo.tuni.fi/handle/10024/98613


Indiana University

14. Suriarachchi, Isuru. Big provenance stream processing for data-intensive computations .

Degree: 2018, Indiana University

 Industry, academia, and research alike are grappling with the opportunities that Big Data brings in the ability to analyze data from numerous sources for insight,… (more)

Subjects/Keywords: Big Data; Big Provenance; Stream Processing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Suriarachchi, I. (2018). Big provenance stream processing for data-intensive computations . (Thesis). Indiana University. Retrieved from http://hdl.handle.net/2022/22579

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):

Suriarachchi, Isuru. “Big provenance stream processing for data-intensive computations .” 2018. Thesis, Indiana University. Accessed March 01, 2021. http://hdl.handle.net/2022/22579.

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

MLA Handbook (7th Edition):

Suriarachchi, Isuru. “Big provenance stream processing for data-intensive computations .” 2018. Web. 01 Mar 2021.

Vancouver:

Suriarachchi I. Big provenance stream processing for data-intensive computations . [Internet] [Thesis]. Indiana University; 2018. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/2022/22579.

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

Council of Science Editors:

Suriarachchi I. Big provenance stream processing for data-intensive computations . [Thesis]. Indiana University; 2018. Available from: http://hdl.handle.net/2022/22579

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


University of Victoria

15. Chrimes, Dillon. Towards a big data analytics platform with Hadoop/MapReduce framework using simulated patient data of a hospital system.

Degree: School of Health Information Science, 2016, University of Victoria

 Background: Big data analytics (BDA) is important to reduce healthcare costs. However, there are many challenges. The study objective was high performance establishment of interactive… (more)

Subjects/Keywords: Big Data; Big Data Analytics; Big Data Tools; Big Data Visualizations; Hadoop Ecosystem; Health Big Data; Hospital Systems; Interactive Big Data; Patient Data; Simulations

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chrimes, D. (2016). Towards a big data analytics platform with Hadoop/MapReduce framework using simulated patient data of a hospital system. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7645

Chicago Manual of Style (16th Edition):

Chrimes, Dillon. “Towards a big data analytics platform with Hadoop/MapReduce framework using simulated patient data of a hospital system.” 2016. Masters Thesis, University of Victoria. Accessed March 01, 2021. http://hdl.handle.net/1828/7645.

MLA Handbook (7th Edition):

Chrimes, Dillon. “Towards a big data analytics platform with Hadoop/MapReduce framework using simulated patient data of a hospital system.” 2016. Web. 01 Mar 2021.

Vancouver:

Chrimes D. Towards a big data analytics platform with Hadoop/MapReduce framework using simulated patient data of a hospital system. [Internet] [Masters thesis]. University of Victoria; 2016. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1828/7645.

Council of Science Editors:

Chrimes D. Towards a big data analytics platform with Hadoop/MapReduce framework using simulated patient data of a hospital system. [Masters Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7645

16. Cao, Xiang. Efficient Data Management and Processing in Big Data Applications.

Degree: PhD, Computer Science, 2017, University of Minnesota

 In today's Big Data applications, huge amount of data are being generated. With the rapid growth of data amount, data management and processing become essential.… (more)

Subjects/Keywords: Big Data; Data Management; Data Processing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Cao, X. (2017). Efficient Data Management and Processing in Big Data Applications. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/188863

Chicago Manual of Style (16th Edition):

Cao, Xiang. “Efficient Data Management and Processing in Big Data Applications.” 2017. Doctoral Dissertation, University of Minnesota. Accessed March 01, 2021. http://hdl.handle.net/11299/188863.

MLA Handbook (7th Edition):

Cao, Xiang. “Efficient Data Management and Processing in Big Data Applications.” 2017. Web. 01 Mar 2021.

Vancouver:

Cao X. Efficient Data Management and Processing in Big Data Applications. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11299/188863.

Council of Science Editors:

Cao X. Efficient Data Management and Processing in Big Data Applications. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/188863


Georgia Tech

17. Lee, Kisung. Scalable big data systems: Architectures and optimizations.

Degree: PhD, Computer Science, 2015, Georgia Tech

Big data analytics has become not just a popular buzzword but also a strategic direction in information technology for many enterprises and government organizations. Even… (more)

Subjects/Keywords: Big data; Graph data; Spatial data

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lee, K. (2015). Scalable big data systems: Architectures and optimizations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55520

Chicago Manual of Style (16th Edition):

Lee, Kisung. “Scalable big data systems: Architectures and optimizations.” 2015. Doctoral Dissertation, Georgia Tech. Accessed March 01, 2021. http://hdl.handle.net/1853/55520.

MLA Handbook (7th Edition):

Lee, Kisung. “Scalable big data systems: Architectures and optimizations.” 2015. Web. 01 Mar 2021.

Vancouver:

Lee K. Scalable big data systems: Architectures and optimizations. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1853/55520.

Council of Science Editors:

Lee K. Scalable big data systems: Architectures and optimizations. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/55520


University of California – Riverside

18. Jacobs, Steven. A BAD Thesis: The Vision, Creation, and Evaluation of a Big Active Data Platform.

Degree: Computer Science, 2018, University of California – Riverside

 Virtually all of today's Big Data systems are passive in nature, responding to queries posted by their users. Instead, this thesis aims to shift Big(more)

Subjects/Keywords: Computer science; Active Data; Big Active Data; Big Data

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Jacobs, S. (2018). A BAD Thesis: The Vision, Creation, and Evaluation of a Big Active Data Platform. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/47g680h1

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):

Jacobs, Steven. “A BAD Thesis: The Vision, Creation, and Evaluation of a Big Active Data Platform.” 2018. Thesis, University of California – Riverside. Accessed March 01, 2021. http://www.escholarship.org/uc/item/47g680h1.

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

MLA Handbook (7th Edition):

Jacobs, Steven. “A BAD Thesis: The Vision, Creation, and Evaluation of a Big Active Data Platform.” 2018. Web. 01 Mar 2021.

Vancouver:

Jacobs S. A BAD Thesis: The Vision, Creation, and Evaluation of a Big Active Data Platform. [Internet] [Thesis]. University of California – Riverside; 2018. [cited 2021 Mar 01]. Available from: http://www.escholarship.org/uc/item/47g680h1.

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

Council of Science Editors:

Jacobs S. A BAD Thesis: The Vision, Creation, and Evaluation of a Big Active Data Platform. [Thesis]. University of California – Riverside; 2018. Available from: http://www.escholarship.org/uc/item/47g680h1

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

19. Fize, Jacques. Mise en correspondance de données textuelles hétérogènes fondée sur la dimension spatiale : Matching between heterogeneous textual data based on spatial dimension.

Degree: Docteur es, Informatique, 2019, Montpellier

Avec l’essor du Big Data, le traitement du Volume, de la Vélocité (croissance et évolution) et de la Variété de la donnée concentre les efforts… (more)

Subjects/Keywords: Science des données; Big Data; Biodiversité; Data Science; Big Data; Biodiversity

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Fize, J. (2019). Mise en correspondance de données textuelles hétérogènes fondée sur la dimension spatiale : Matching between heterogeneous textual data based on spatial dimension. (Doctoral Dissertation). Montpellier. Retrieved from http://www.theses.fr/2019MONTS099

Chicago Manual of Style (16th Edition):

Fize, Jacques. “Mise en correspondance de données textuelles hétérogènes fondée sur la dimension spatiale : Matching between heterogeneous textual data based on spatial dimension.” 2019. Doctoral Dissertation, Montpellier. Accessed March 01, 2021. http://www.theses.fr/2019MONTS099.

MLA Handbook (7th Edition):

Fize, Jacques. “Mise en correspondance de données textuelles hétérogènes fondée sur la dimension spatiale : Matching between heterogeneous textual data based on spatial dimension.” 2019. Web. 01 Mar 2021.

Vancouver:

Fize J. Mise en correspondance de données textuelles hétérogènes fondée sur la dimension spatiale : Matching between heterogeneous textual data based on spatial dimension. [Internet] [Doctoral dissertation]. Montpellier; 2019. [cited 2021 Mar 01]. Available from: http://www.theses.fr/2019MONTS099.

Council of Science Editors:

Fize J. Mise en correspondance de données textuelles hétérogènes fondée sur la dimension spatiale : Matching between heterogeneous textual data based on spatial dimension. [Doctoral Dissertation]. Montpellier; 2019. Available from: http://www.theses.fr/2019MONTS099


Jönköping University

20. Rystadius, Gustaf; Monell, David. The dynamic management revolution of Big Data : A case study of Åhlen’s Big Data Analytics operation.

Degree: Jönköping International Business School, 2020, Jönköping University

  Background: The implementation of Big Data Analytics (BDA) has drastically increased within several sectors such as retailing. Due to its rapidly altering environment, companies have… (more)

Subjects/Keywords: Big Data Analytics; Big Data Analytics Capabilities; Ambidexterity; Agility; Big Data; Business Administration; Företagsekonomi

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Rystadius, Gustaf; Monell, D. (2020). The dynamic management revolution of Big Data : A case study of Åhlen’s Big Data Analytics operation. (Thesis). Jönköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-48959

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):

Rystadius, Gustaf; Monell, David. “The dynamic management revolution of Big Data : A case study of Åhlen’s Big Data Analytics operation.” 2020. Thesis, Jönköping University. Accessed March 01, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-48959.

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

MLA Handbook (7th Edition):

Rystadius, Gustaf; Monell, David. “The dynamic management revolution of Big Data : A case study of Åhlen’s Big Data Analytics operation.” 2020. Web. 01 Mar 2021.

Vancouver:

Rystadius, Gustaf; Monell D. The dynamic management revolution of Big Data : A case study of Åhlen’s Big Data Analytics operation. [Internet] [Thesis]. Jönköping University; 2020. [cited 2021 Mar 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-48959.

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

Council of Science Editors:

Rystadius, Gustaf; Monell D. The dynamic management revolution of Big Data : A case study of Åhlen’s Big Data Analytics operation. [Thesis]. Jönköping University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-48959

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


Brunel University

21. Lakoju, Mike. A strategic approach of value identification for a big data project.

Degree: PhD, 2017, Brunel University

 The disruptive nature of innovations and technological advancements present potentially huge benefits, however, it is critical to take caution because they also come with challenges.… (more)

Subjects/Keywords: 005.7; Big data strategy; Savi-bigd; Big data; Digital business strategy; Big data framework

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lakoju, M. (2017). A strategic approach of value identification for a big data project. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/15837 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764867

Chicago Manual of Style (16th Edition):

Lakoju, Mike. “A strategic approach of value identification for a big data project.” 2017. Doctoral Dissertation, Brunel University. Accessed March 01, 2021. http://bura.brunel.ac.uk/handle/2438/15837 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764867.

MLA Handbook (7th Edition):

Lakoju, Mike. “A strategic approach of value identification for a big data project.” 2017. Web. 01 Mar 2021.

Vancouver:

Lakoju M. A strategic approach of value identification for a big data project. [Internet] [Doctoral dissertation]. Brunel University; 2017. [cited 2021 Mar 01]. Available from: http://bura.brunel.ac.uk/handle/2438/15837 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764867.

Council of Science Editors:

Lakoju M. A strategic approach of value identification for a big data project. [Doctoral Dissertation]. Brunel University; 2017. Available from: http://bura.brunel.ac.uk/handle/2438/15837 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764867


Universiteit Utrecht

22. Franzke, A.S. Big Data Ethicist - What will the role of the ethicist be in advising governments in the field of big data?.

Degree: 2016, Universiteit Utrecht

 This paper elaborates on the question how the ethicist can address the demands for ethical expertise in governments occurring through big data practices. In the… (more)

Subjects/Keywords: big data; ethic; e-government

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Franzke, A. S. (2016). Big Data Ethicist - What will the role of the ethicist be in advising governments in the field of big data?. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/336098

Chicago Manual of Style (16th Edition):

Franzke, A S. “Big Data Ethicist - What will the role of the ethicist be in advising governments in the field of big data?.” 2016. Masters Thesis, Universiteit Utrecht. Accessed March 01, 2021. http://dspace.library.uu.nl:8080/handle/1874/336098.

MLA Handbook (7th Edition):

Franzke, A S. “Big Data Ethicist - What will the role of the ethicist be in advising governments in the field of big data?.” 2016. Web. 01 Mar 2021.

Vancouver:

Franzke AS. Big Data Ethicist - What will the role of the ethicist be in advising governments in the field of big data?. [Internet] [Masters thesis]. Universiteit Utrecht; 2016. [cited 2021 Mar 01]. Available from: http://dspace.library.uu.nl:8080/handle/1874/336098.

Council of Science Editors:

Franzke AS. Big Data Ethicist - What will the role of the ethicist be in advising governments in the field of big data?. [Masters Thesis]. Universiteit Utrecht; 2016. Available from: http://dspace.library.uu.nl:8080/handle/1874/336098


Penn State University

23. Iyer, Karthik Thyagarajan. Computational complexity of data mining algorithms used in fraud detection.

Degree: 2015, Penn State University

 According to estimates by certain government agencies, 10% of the total medical expenditure is lost to healthcare fraud. Similarly the credit card industry loses billions… (more)

Subjects/Keywords: Data mining; Complexity; Big O

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Iyer, K. T. (2015). Computational complexity of data mining algorithms used in fraud detection. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26437

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):

Iyer, Karthik Thyagarajan. “Computational complexity of data mining algorithms used in fraud detection.” 2015. Thesis, Penn State University. Accessed March 01, 2021. https://submit-etda.libraries.psu.edu/catalog/26437.

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

MLA Handbook (7th Edition):

Iyer, Karthik Thyagarajan. “Computational complexity of data mining algorithms used in fraud detection.” 2015. Web. 01 Mar 2021.

Vancouver:

Iyer KT. Computational complexity of data mining algorithms used in fraud detection. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Mar 01]. Available from: https://submit-etda.libraries.psu.edu/catalog/26437.

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

Council of Science Editors:

Iyer KT. Computational complexity of data mining algorithms used in fraud detection. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26437

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


Queens University

24. Eftekhari, Azadeh. Binary: a Framework For Big Data Integration For Ad-Hoc Querying .

Degree: Computing, 2016, Queens University

 Traditional relational database systems are not practical for big data workloads that require scalable architectures for efficient data storage, manipulation, and analysis. Apache Hadoop, one… (more)

Subjects/Keywords: Ad-Hoc Query ; Big Data

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Eftekhari, A. (2016). Binary: a Framework For Big Data Integration For Ad-Hoc Querying . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/14234

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):

Eftekhari, Azadeh. “Binary: a Framework For Big Data Integration For Ad-Hoc Querying .” 2016. Thesis, Queens University. Accessed March 01, 2021. http://hdl.handle.net/1974/14234.

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

MLA Handbook (7th Edition):

Eftekhari, Azadeh. “Binary: a Framework For Big Data Integration For Ad-Hoc Querying .” 2016. Web. 01 Mar 2021.

Vancouver:

Eftekhari A. Binary: a Framework For Big Data Integration For Ad-Hoc Querying . [Internet] [Thesis]. Queens University; 2016. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1974/14234.

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

Council of Science Editors:

Eftekhari A. Binary: a Framework For Big Data Integration For Ad-Hoc Querying . [Thesis]. Queens University; 2016. Available from: http://hdl.handle.net/1974/14234

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

25. Castillo, Vanesa. Tendencias, retos y oportunidades en la aplicación de analytics en recursos humanos en compañías innovadoras en Argentina 2016-2017.

Degree: MBA, Business Administration, 2017, Universidad Torcuato di Tella

 Los principales resultados arrojados es que el uso de los analytics aplicados a la función de recursos en empresas innovadoras en Argentina es aún incipiente.… (more)

Subjects/Keywords: Recursos humanos; Big data

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Castillo, V. (2017). Tendencias, retos y oportunidades en la aplicación de analytics en recursos humanos en compañías innovadoras en Argentina 2016-2017. (Thesis). Universidad Torcuato di Tella. Retrieved from https://repositorio.utdt.edu/handle/utdt/11140

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):

Castillo, Vanesa. “Tendencias, retos y oportunidades en la aplicación de analytics en recursos humanos en compañías innovadoras en Argentina 2016-2017.” 2017. Thesis, Universidad Torcuato di Tella. Accessed March 01, 2021. https://repositorio.utdt.edu/handle/utdt/11140.

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

MLA Handbook (7th Edition):

Castillo, Vanesa. “Tendencias, retos y oportunidades en la aplicación de analytics en recursos humanos en compañías innovadoras en Argentina 2016-2017.” 2017. Web. 01 Mar 2021.

Vancouver:

Castillo V. Tendencias, retos y oportunidades en la aplicación de analytics en recursos humanos en compañías innovadoras en Argentina 2016-2017. [Internet] [Thesis]. Universidad Torcuato di Tella; 2017. [cited 2021 Mar 01]. Available from: https://repositorio.utdt.edu/handle/utdt/11140.

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

Council of Science Editors:

Castillo V. Tendencias, retos y oportunidades en la aplicación de analytics en recursos humanos en compañías innovadoras en Argentina 2016-2017. [Thesis]. Universidad Torcuato di Tella; 2017. Available from: https://repositorio.utdt.edu/handle/utdt/11140

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


Tampere University

26. Hassi, Sakari. Big Datan visualisoinnin kokemus virtuaalitodellisuudessa .

Degree: 2018, Tampere University

 Tutkielmassa pyrittiin selvittämään vastauksia siihen olisiko virtuaalitodellisuus soveltuva ympäristö Big Datan visualisoimiseen, eli tehostaisiko kokemuksellisempi ympäristö Big Dataksi luokiteltavien datajoukkojen ymmärtämistä. Tutkimuskysymykseen liittyen tutkielmassa haluttiin… (more)

Subjects/Keywords: Big Data; virtuaalitodellisuus; visualisointi; käyttäjäkokemus

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hassi, S. (2018). Big Datan visualisoinnin kokemus virtuaalitodellisuudessa . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/104000

Chicago Manual of Style (16th Edition):

Hassi, Sakari. “Big Datan visualisoinnin kokemus virtuaalitodellisuudessa .” 2018. Masters Thesis, Tampere University. Accessed March 01, 2021. https://trepo.tuni.fi/handle/10024/104000.

MLA Handbook (7th Edition):

Hassi, Sakari. “Big Datan visualisoinnin kokemus virtuaalitodellisuudessa .” 2018. Web. 01 Mar 2021.

Vancouver:

Hassi S. Big Datan visualisoinnin kokemus virtuaalitodellisuudessa . [Internet] [Masters thesis]. Tampere University; 2018. [cited 2021 Mar 01]. Available from: https://trepo.tuni.fi/handle/10024/104000.

Council of Science Editors:

Hassi S. Big Datan visualisoinnin kokemus virtuaalitodellisuudessa . [Masters Thesis]. Tampere University; 2018. Available from: https://trepo.tuni.fi/handle/10024/104000


University of Houston

27. Nguyen, Hung Khanh. Big Data Optimization for Distributed Resource Management in Smart Grid.

Degree: PhD, Electrical Engineering, 2017, University of Houston

 Electric power grids are experiencing the increasing adoption of distributed energy resources, which can bring huge economical and environmental benefit. However, the large-scale penetration of… (more)

Subjects/Keywords: Big data; Smart grids; Optimization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Nguyen, H. K. (2017). Big Data Optimization for Distributed Resource Management in Smart Grid. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/1878

Chicago Manual of Style (16th Edition):

Nguyen, Hung Khanh. “Big Data Optimization for Distributed Resource Management in Smart Grid.” 2017. Doctoral Dissertation, University of Houston. Accessed March 01, 2021. http://hdl.handle.net/10657/1878.

MLA Handbook (7th Edition):

Nguyen, Hung Khanh. “Big Data Optimization for Distributed Resource Management in Smart Grid.” 2017. Web. 01 Mar 2021.

Vancouver:

Nguyen HK. Big Data Optimization for Distributed Resource Management in Smart Grid. [Internet] [Doctoral dissertation]. University of Houston; 2017. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10657/1878.

Council of Science Editors:

Nguyen HK. Big Data Optimization for Distributed Resource Management in Smart Grid. [Doctoral Dissertation]. University of Houston; 2017. Available from: http://hdl.handle.net/10657/1878


University of Manitoba

28. Chen, Yixuan. Approaching “Big Data” in Biological Research Imaging Spectroscopy with Novel Compression.

Degree: Biosystems Engineering, 2014, University of Manitoba

 This research focuses on providing a fast and space efficient compression method to answer information queries on spectroscopic data. Our primary hypothesis was whether a… (more)

Subjects/Keywords: Image Compression; Big Data

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chen, Y. (2014). Approaching “Big Data” in Biological Research Imaging Spectroscopy with Novel Compression. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/23434

Chicago Manual of Style (16th Edition):

Chen, Yixuan. “Approaching “Big Data” in Biological Research Imaging Spectroscopy with Novel Compression.” 2014. Masters Thesis, University of Manitoba. Accessed March 01, 2021. http://hdl.handle.net/1993/23434.

MLA Handbook (7th Edition):

Chen, Yixuan. “Approaching “Big Data” in Biological Research Imaging Spectroscopy with Novel Compression.” 2014. Web. 01 Mar 2021.

Vancouver:

Chen Y. Approaching “Big Data” in Biological Research Imaging Spectroscopy with Novel Compression. [Internet] [Masters thesis]. University of Manitoba; 2014. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1993/23434.

Council of Science Editors:

Chen Y. Approaching “Big Data” in Biological Research Imaging Spectroscopy with Novel Compression. [Masters Thesis]. University of Manitoba; 2014. Available from: http://hdl.handle.net/1993/23434

29. Lindström, Frej. Impact analysis of characteristics in product development : Change in product property with respect to component generations.

Degree: Mathematics and Mathematical Statistics, 2017, Umeå University

  Scania has developed a unique modular product system which is an important successfactor, creating exibility and lies at the heart of their business model.… (more)

Subjects/Keywords: Statistics; big data; Mathematics; Matematik

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lindström, F. (2017). Impact analysis of characteristics in product development : Change in product property with respect to component generations. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-136911

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):

Lindström, Frej. “Impact analysis of characteristics in product development : Change in product property with respect to component generations.” 2017. Thesis, Umeå University. Accessed March 01, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-136911.

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

MLA Handbook (7th Edition):

Lindström, Frej. “Impact analysis of characteristics in product development : Change in product property with respect to component generations.” 2017. Web. 01 Mar 2021.

Vancouver:

Lindström F. Impact analysis of characteristics in product development : Change in product property with respect to component generations. [Internet] [Thesis]. Umeå University; 2017. [cited 2021 Mar 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-136911.

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

Council of Science Editors:

Lindström F. Impact analysis of characteristics in product development : Change in product property with respect to component generations. [Thesis]. Umeå University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-136911

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


Hong Kong University of Science and Technology

30. Wang, Lu. Techniques and applications of random sampling on massive data.

Degree: 2015, Hong Kong University of Science and Technology

 Living in the era of big data, we often need to process and analyze data sets that have never been so large and fast-growing. Random… (more)

Subjects/Keywords: Big data ; Sampling (Statistics)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wang, L. (2015). Techniques and applications of random sampling on massive data. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-78835 ; https://doi.org/10.14711/thesis-b1514598 ; http://repository.ust.hk/ir/bitstream/1783.1-78835/1/th_redirect.html

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):

Wang, Lu. “Techniques and applications of random sampling on massive data.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed March 01, 2021. http://repository.ust.hk/ir/Record/1783.1-78835 ; https://doi.org/10.14711/thesis-b1514598 ; http://repository.ust.hk/ir/bitstream/1783.1-78835/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Wang, Lu. “Techniques and applications of random sampling on massive data.” 2015. Web. 01 Mar 2021.

Vancouver:

Wang L. Techniques and applications of random sampling on massive data. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2021 Mar 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-78835 ; https://doi.org/10.14711/thesis-b1514598 ; http://repository.ust.hk/ir/bitstream/1783.1-78835/1/th_redirect.html.

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

Council of Science Editors:

Wang L. Techniques and applications of random sampling on massive data. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: http://repository.ust.hk/ir/Record/1783.1-78835 ; https://doi.org/10.14711/thesis-b1514598 ; http://repository.ust.hk/ir/bitstream/1783.1-78835/1/th_redirect.html

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

[1] [2] [3] [4] [5] … [59]

.