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You searched for subject:(Apache Spark). Showing records 1 – 30 of 42 total matches.

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Queens University

1. Zhang, Jenne. Tuning Spark Performance .

Degree: Computing, Queens University

 In the big data era, big data frameworks play a vital role in storing and processing large amounts of data, providing significant improvements in performance… (more)

Subjects/Keywords: Apache spark

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APA (6th Edition):

Zhang, J. (n.d.). Tuning Spark Performance . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/24439

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Jenne. “Tuning Spark Performance .” Thesis, Queens University. Accessed February 22, 2019. http://hdl.handle.net/1974/24439.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Jenne. “Tuning Spark Performance .” Web. 22 Feb 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Zhang J. Tuning Spark Performance . [Internet] [Thesis]. Queens University; [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1974/24439.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Zhang J. Tuning Spark Performance . [Thesis]. Queens University; Available from: http://hdl.handle.net/1974/24439

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


University of Illinois – Urbana-Champaign

2. Gupta, Akshun. Exploration of fault tolerance in Apache Spark.

Degree: MS, Computer Science, 2017, University of Illinois – Urbana-Champaign

 This thesis provides an exploration of two techniques for solving fault tolerance for batch processing in Apache Spark. We evaluate the benefits and challenges of… (more)

Subjects/Keywords: Apache Spark; Fault tolerance

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APA (6th Edition):

Gupta, A. (2017). Exploration of fault tolerance in Apache Spark. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99383

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):

Gupta, Akshun. “Exploration of fault tolerance in Apache Spark.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed February 22, 2019. http://hdl.handle.net/2142/99383.

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

MLA Handbook (7th Edition):

Gupta, Akshun. “Exploration of fault tolerance in Apache Spark.” 2017. Web. 22 Feb 2019.

Vancouver:

Gupta A. Exploration of fault tolerance in Apache Spark. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/2142/99383.

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

Council of Science Editors:

Gupta A. Exploration of fault tolerance in Apache Spark. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99383

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


Virginia Tech

3. Chakravarty, Saurabh. A Large Collection Learning Optimizer Framework.

Degree: MS, Computer Science, 2017, Virginia Tech

 Content is generated on the web at an increasing rate. The type of content varies from text on a traditional webpage to text on social… (more)

Subjects/Keywords: Digital Libraries; Text Classification; Tweets; Apache Spark

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APA (6th Edition):

Chakravarty, S. (2017). A Large Collection Learning Optimizer Framework. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78302

Chicago Manual of Style (16th Edition):

Chakravarty, Saurabh. “A Large Collection Learning Optimizer Framework.” 2017. Masters Thesis, Virginia Tech. Accessed February 22, 2019. http://hdl.handle.net/10919/78302.

MLA Handbook (7th Edition):

Chakravarty, Saurabh. “A Large Collection Learning Optimizer Framework.” 2017. Web. 22 Feb 2019.

Vancouver:

Chakravarty S. A Large Collection Learning Optimizer Framework. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/10919/78302.

Council of Science Editors:

Chakravarty S. A Large Collection Learning Optimizer Framework. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78302


California State University – Sacramento

4. Srinivasan, Srivats. Human or bot.

Degree: MS, Computer Science, 2017, California State University – Sacramento

 Online auctions have become an increasingly important aspect of e-commerce. The major problem with online bidding/auctioning is that there is no way of identifying if… (more)

Subjects/Keywords: Apache Spark; Machine learning; Bidding robots

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APA (6th Edition):

Srinivasan, S. (2017). Human or bot. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/198808

Chicago Manual of Style (16th Edition):

Srinivasan, Srivats. “Human or bot.” 2017. Masters Thesis, California State University – Sacramento. Accessed February 22, 2019. http://hdl.handle.net/10211.3/198808.

MLA Handbook (7th Edition):

Srinivasan, Srivats. “Human or bot.” 2017. Web. 22 Feb 2019.

Vancouver:

Srinivasan S. Human or bot. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/10211.3/198808.

Council of Science Editors:

Srinivasan S. Human or bot. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/198808


University of Waterloo

5. Mior, Michael. Physical Design for Non-relational Data Systems.

Degree: 2018, University of Waterloo

 Decades of research have gone into the optimization of physical designs, query execution, and related tools for relational databases. These techniques and tools make it… (more)

Subjects/Keywords: data systems; physical design; NoSQL; normalization; Apache Cassandra; Apache Spark

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APA (6th Edition):

Mior, M. (2018). Physical Design for Non-relational Data Systems. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13555

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):

Mior, Michael. “Physical Design for Non-relational Data Systems.” 2018. Thesis, University of Waterloo. Accessed February 22, 2019. http://hdl.handle.net/10012/13555.

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

MLA Handbook (7th Edition):

Mior, Michael. “Physical Design for Non-relational Data Systems.” 2018. Web. 22 Feb 2019.

Vancouver:

Mior M. Physical Design for Non-relational Data Systems. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/10012/13555.

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

Council of Science Editors:

Mior M. Physical Design for Non-relational Data Systems. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13555

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


Brno University of Technology

6. Béder, Michal. Zpracování síťové komunikace v prostředí Apache Spark .

Degree: 2018, Brno University of Technology

 Táto práca rieši spôsob návrhu aplikácie na analýzu dát sieťovej komunikácie v prostredí distribuovaného systému Apache Spark. Implementáciu je možné rozdeliť do troch častí. Prvou… (more)

Subjects/Keywords: Apache Spark; distribuovaný; Big Data; HDFS; sieťový tok; pcap; Wireshark; Scala; Apache Zeppelin; Apache Spark; distributed; Big Data; HDFS; flow; pcap; Wireshark; Scala; Apache Zeppelin

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APA (6th Edition):

Béder, M. (2018). Zpracování síťové komunikace v prostředí Apache Spark . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/84876

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):

Béder, Michal. “Zpracování síťové komunikace v prostředí Apache Spark .” 2018. Thesis, Brno University of Technology. Accessed February 22, 2019. http://hdl.handle.net/11012/84876.

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

MLA Handbook (7th Edition):

Béder, Michal. “Zpracování síťové komunikace v prostředí Apache Spark .” 2018. Web. 22 Feb 2019.

Vancouver:

Béder M. Zpracování síťové komunikace v prostředí Apache Spark . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/11012/84876.

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

Council of Science Editors:

Béder M. Zpracování síťové komunikace v prostředí Apache Spark . [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/84876

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

7. Hubregtsen, T.S. Evaluation of different storage systems for Apache Spark and Apache Hadoop:.

Degree: 2015, Delft University of Technology

 Big Data systems have been used for multiple years to solve problems that require scale. A framework takes care of scalability and resiliency issues, and… (more)

Subjects/Keywords: Apache Spark; Apache Hadoop; Big Data; IBM Power Systems; Flash; CAPI Flash

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APA (6th Edition):

Hubregtsen, T. S. (2015). Evaluation of different storage systems for Apache Spark and Apache Hadoop:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:df99a960-dc9c-460e-a066-1a0e12f791a1

Chicago Manual of Style (16th Edition):

Hubregtsen, T S. “Evaluation of different storage systems for Apache Spark and Apache Hadoop:.” 2015. Masters Thesis, Delft University of Technology. Accessed February 22, 2019. http://resolver.tudelft.nl/uuid:df99a960-dc9c-460e-a066-1a0e12f791a1.

MLA Handbook (7th Edition):

Hubregtsen, T S. “Evaluation of different storage systems for Apache Spark and Apache Hadoop:.” 2015. Web. 22 Feb 2019.

Vancouver:

Hubregtsen TS. Evaluation of different storage systems for Apache Spark and Apache Hadoop:. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2019 Feb 22]. Available from: http://resolver.tudelft.nl/uuid:df99a960-dc9c-460e-a066-1a0e12f791a1.

Council of Science Editors:

Hubregtsen TS. Evaluation of different storage systems for Apache Spark and Apache Hadoop:. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:df99a960-dc9c-460e-a066-1a0e12f791a1

8. Zhang, Jian. Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets.

Degree: MA -MA, Information Systems and Technology, 2018, York University

 Research into the combination of data mining and machine learning technology with web-based education systems (known as education data mining, or EDM) is becoming imperative… (more)

Subjects/Keywords: Educational technology; Spark; Big data; Data mining; Apache Spark; Educational data mining

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APA (6th Edition):

Zhang, J. (2018). Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/35023

Chicago Manual of Style (16th Edition):

Zhang, Jian. “Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets.” 2018. Masters Thesis, York University. Accessed February 22, 2019. http://hdl.handle.net/10315/35023.

MLA Handbook (7th Edition):

Zhang, Jian. “Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets.” 2018. Web. 22 Feb 2019.

Vancouver:

Zhang J. Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets. [Internet] [Masters thesis]. York University; 2018. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/10315/35023.

Council of Science Editors:

Zhang J. Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets. [Masters Thesis]. York University; 2018. Available from: http://hdl.handle.net/10315/35023


Linnaeus University

9. Jorani, Salam AL. Performance assessment of Apache Spark applications.

Degree: computer science and media technology (CM), 2019, Linnaeus University

  This thesis addresses the challenges of large software and data-intensive systems. We will discuss a Big Data software that consists of quite a bit… (more)

Subjects/Keywords: Big Data; Apache Spark; BigBlu; Lazy evaluation of Spark; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Jorani, S. A. (2019). Performance assessment of Apache Spark applications. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-80181

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):

Jorani, Salam AL. “Performance assessment of Apache Spark applications.” 2019. Thesis, Linnaeus University. Accessed February 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-80181.

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

MLA Handbook (7th Edition):

Jorani, Salam AL. “Performance assessment of Apache Spark applications.” 2019. Web. 22 Feb 2019.

Vancouver:

Jorani SA. Performance assessment of Apache Spark applications. [Internet] [Thesis]. Linnaeus University; 2019. [cited 2019 Feb 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-80181.

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

Council of Science Editors:

Jorani SA. Performance assessment of Apache Spark applications. [Thesis]. Linnaeus University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-80181

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


University of Georgia

10. Joshi, Ankita Prashant. Open source distributed spectral clustering.

Degree: MS, Artificial Intelligence, 2017, University of Georgia

 In this thesis, we propose an approximation of the Spectral Clustering algorithm to cluster high-dimensional large datasets. Spectral Clustering is limited in its application as… (more)

Subjects/Keywords: Spectral Clustering; Distributed computing; Apache Spark; Approximate Nearest Neighbors.

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APA (6th Edition):

Joshi, A. P. (2017). Open source distributed spectral clustering. (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37798

Chicago Manual of Style (16th Edition):

Joshi, Ankita Prashant. “Open source distributed spectral clustering.” 2017. Masters Thesis, University of Georgia. Accessed February 22, 2019. http://hdl.handle.net/10724/37798.

MLA Handbook (7th Edition):

Joshi, Ankita Prashant. “Open source distributed spectral clustering.” 2017. Web. 22 Feb 2019.

Vancouver:

Joshi AP. Open source distributed spectral clustering. [Internet] [Masters thesis]. University of Georgia; 2017. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/10724/37798.

Council of Science Editors:

Joshi AP. Open source distributed spectral clustering. [Masters Thesis]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37798


University of Toronto

11. Munoz Cepillo, Jose Antonio. A MICROARCHITECTURAL ANALYSIS OF MACHINE LEARNING ALGORITHMS ON SPARK.

Degree: 2017, University of Toronto

Analysis of large data sets utilizing Machine Learning Algorithms (MLAs) is an important research and application area. This thesis resents a comprehensive performance analysis of… (more)

Subjects/Keywords: Apache Spark; Computer Engineering; Hardware; Machine Learning; Microarchitecture; Software; 0464

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APA (6th Edition):

Munoz Cepillo, J. A. (2017). A MICROARCHITECTURAL ANALYSIS OF MACHINE LEARNING ALGORITHMS ON SPARK. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/81068

Chicago Manual of Style (16th Edition):

Munoz Cepillo, Jose Antonio. “A MICROARCHITECTURAL ANALYSIS OF MACHINE LEARNING ALGORITHMS ON SPARK.” 2017. Masters Thesis, University of Toronto. Accessed February 22, 2019. http://hdl.handle.net/1807/81068.

MLA Handbook (7th Edition):

Munoz Cepillo, Jose Antonio. “A MICROARCHITECTURAL ANALYSIS OF MACHINE LEARNING ALGORITHMS ON SPARK.” 2017. Web. 22 Feb 2019.

Vancouver:

Munoz Cepillo JA. A MICROARCHITECTURAL ANALYSIS OF MACHINE LEARNING ALGORITHMS ON SPARK. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1807/81068.

Council of Science Editors:

Munoz Cepillo JA. A MICROARCHITECTURAL ANALYSIS OF MACHINE LEARNING ALGORITHMS ON SPARK. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/81068


University of Toronto

12. Ghasemi, Ehsan. A Scalable Heterogeneous Dataflow Architecture For Big Data Analytics Using FPGAs.

Degree: 2015, University of Toronto

Due to rapidly expanding data size, there is increasing need for scalable, high-performance, and low-energy frameworks for large-scale data computation. In this thesis, we build… (more)

Subjects/Keywords: Apache Spark; Big Data; Distributed Architecture; FPGA; MapReduce; 0464

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APA (6th Edition):

Ghasemi, E. (2015). A Scalable Heterogeneous Dataflow Architecture For Big Data Analytics Using FPGAs. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/70404

Chicago Manual of Style (16th Edition):

Ghasemi, Ehsan. “A Scalable Heterogeneous Dataflow Architecture For Big Data Analytics Using FPGAs.” 2015. Masters Thesis, University of Toronto. Accessed February 22, 2019. http://hdl.handle.net/1807/70404.

MLA Handbook (7th Edition):

Ghasemi, Ehsan. “A Scalable Heterogeneous Dataflow Architecture For Big Data Analytics Using FPGAs.” 2015. Web. 22 Feb 2019.

Vancouver:

Ghasemi E. A Scalable Heterogeneous Dataflow Architecture For Big Data Analytics Using FPGAs. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1807/70404.

Council of Science Editors:

Ghasemi E. A Scalable Heterogeneous Dataflow Architecture For Big Data Analytics Using FPGAs. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/70404


University of California – Berkeley

13. Reiss, Charles Albert. Understanding Memory Configurations for In-Memory Analytics.

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

 A proliferation of frameworks have emerged to handle the challenges of making distributed computations reliable and scalable. These enable users to easily perform analysis of… (more)

Subjects/Keywords: Computer science; analytics; Apache Spark; configuration; memory; sizing

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APA (6th Edition):

Reiss, C. A. (2016). Understanding Memory Configurations for In-Memory Analytics. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/2b1922sg

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):

Reiss, Charles Albert. “Understanding Memory Configurations for In-Memory Analytics.” 2016. Thesis, University of California – Berkeley. Accessed February 22, 2019. http://www.escholarship.org/uc/item/2b1922sg.

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

MLA Handbook (7th Edition):

Reiss, Charles Albert. “Understanding Memory Configurations for In-Memory Analytics.” 2016. Web. 22 Feb 2019.

Vancouver:

Reiss CA. Understanding Memory Configurations for In-Memory Analytics. [Internet] [Thesis]. University of California – Berkeley; 2016. [cited 2019 Feb 22]. Available from: http://www.escholarship.org/uc/item/2b1922sg.

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

Council of Science Editors:

Reiss CA. Understanding Memory Configurations for In-Memory Analytics. [Thesis]. University of California – Berkeley; 2016. Available from: http://www.escholarship.org/uc/item/2b1922sg

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


Brno University of Technology

14. Hmeľár, Jozef. Webová aplikace pro grafické zadávání a spouštění Spark úloh .

Degree: 2018, Brno University of Technology

 Táto diplomová práca sa zaoberá problematikou spracovania Big data v distribuovanom systéme Apache Spark pomocou nástrojov, ktoré umožňujú vzdialené zadávanie a spúšťanie Spark úloh cez… (more)

Subjects/Keywords: webová aplikácia; Apache Spark; Apache Livy; REST API; Spark úlohy; big data; analýza dát; Zeppelin; Jupyter; Angular 2; Python; web application; Apache Spark; Apache Livy; REST API; Spark tasks; big data; data analysis; Zeppelin; Jupyter; Angular 2; Python

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APA (6th Edition):

Hmeľár, J. (2018). Webová aplikace pro grafické zadávání a spouštění Spark úloh . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/84989

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):

Hmeľár, Jozef. “Webová aplikace pro grafické zadávání a spouštění Spark úloh .” 2018. Thesis, Brno University of Technology. Accessed February 22, 2019. http://hdl.handle.net/11012/84989.

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

MLA Handbook (7th Edition):

Hmeľár, Jozef. “Webová aplikace pro grafické zadávání a spouštění Spark úloh .” 2018. Web. 22 Feb 2019.

Vancouver:

Hmeľár J. Webová aplikace pro grafické zadávání a spouštění Spark úloh . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/11012/84989.

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

Council of Science Editors:

Hmeľár J. Webová aplikace pro grafické zadávání a spouštění Spark úloh . [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/84989

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


IUPUI

15. Dheekonda, Raja Sekhar Rao. Enumerating k-cliques in a large network using Apache Spark.

Degree: 2017, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Network analysis is an important research task which explains the relationships among various entities in a given domain. Most of… (more)

Subjects/Keywords: k-clique; Apache Spark; Enumeration; Distributed; Graph Mining

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APA (6th Edition):

Dheekonda, R. S. R. (2017). Enumerating k-cliques in a large network using Apache Spark. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/12282

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):

Dheekonda, Raja Sekhar Rao. “Enumerating k-cliques in a large network using Apache Spark.” 2017. Thesis, IUPUI. Accessed February 22, 2019. http://hdl.handle.net/1805/12282.

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

MLA Handbook (7th Edition):

Dheekonda, Raja Sekhar Rao. “Enumerating k-cliques in a large network using Apache Spark.” 2017. Web. 22 Feb 2019.

Vancouver:

Dheekonda RSR. Enumerating k-cliques in a large network using Apache Spark. [Internet] [Thesis]. IUPUI; 2017. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1805/12282.

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

Council of Science Editors:

Dheekonda RSR. Enumerating k-cliques in a large network using Apache Spark. [Thesis]. IUPUI; 2017. Available from: http://hdl.handle.net/1805/12282

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


IUPUI

16. Mandal, Aritra. Distributed graph decomposition algorithms on Apache Spark.

Degree: 2018, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Structural analysis and mining of large and complex graphs for describing the characteristics of a vertex or an edge in… (more)

Subjects/Keywords: Graph Mining; Big Data; Apache Spark; Graph Decomposition; Graph Partitioning; Clustering

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

APA (6th Edition):

Mandal, A. (2018). Distributed graph decomposition algorithms on Apache Spark. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/16924

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):

Mandal, Aritra. “Distributed graph decomposition algorithms on Apache Spark.” 2018. Thesis, IUPUI. Accessed February 22, 2019. http://hdl.handle.net/1805/16924.

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

MLA Handbook (7th Edition):

Mandal, Aritra. “Distributed graph decomposition algorithms on Apache Spark.” 2018. Web. 22 Feb 2019.

Vancouver:

Mandal A. Distributed graph decomposition algorithms on Apache Spark. [Internet] [Thesis]. IUPUI; 2018. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1805/16924.

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

Council of Science Editors:

Mandal A. Distributed graph decomposition algorithms on Apache Spark. [Thesis]. IUPUI; 2018. Available from: http://hdl.handle.net/1805/16924

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


San Jose State University

17. Tirumali, Parineetha Gandhi. EFFICIENT PAIR-WISE SIMILARITY COMPUTATION USING APACHE SPARK.

Degree: MS, Computer Science, 2016, San Jose State University

  Entity matching is the process of identifying different manifestations of the same real world entity. These entities can be referred to as objects(string) or… (more)

Subjects/Keywords: Pairwise Similarity Apache Spark; Databases and Information Systems

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

APA (6th Edition):

Tirumali, P. G. (2016). EFFICIENT PAIR-WISE SIMILARITY COMPUTATION USING APACHE SPARK. (Masters Thesis). San Jose State University. Retrieved from https://scholarworks.sjsu.edu/etd_projects/479

Chicago Manual of Style (16th Edition):

Tirumali, Parineetha Gandhi. “EFFICIENT PAIR-WISE SIMILARITY COMPUTATION USING APACHE SPARK.” 2016. Masters Thesis, San Jose State University. Accessed February 22, 2019. https://scholarworks.sjsu.edu/etd_projects/479.

MLA Handbook (7th Edition):

Tirumali, Parineetha Gandhi. “EFFICIENT PAIR-WISE SIMILARITY COMPUTATION USING APACHE SPARK.” 2016. Web. 22 Feb 2019.

Vancouver:

Tirumali PG. EFFICIENT PAIR-WISE SIMILARITY COMPUTATION USING APACHE SPARK. [Internet] [Masters thesis]. San Jose State University; 2016. [cited 2019 Feb 22]. Available from: https://scholarworks.sjsu.edu/etd_projects/479.

Council of Science Editors:

Tirumali PG. EFFICIENT PAIR-WISE SIMILARITY COMPUTATION USING APACHE SPARK. [Masters Thesis]. San Jose State University; 2016. Available from: https://scholarworks.sjsu.edu/etd_projects/479


NSYSU

18. Chuang, Shun-hsien. The study of a big data platform for mining computation and storage : the case study of national health insurance database.

Degree: Master, Computer Science and Engineering, 2015, NSYSU

 Our country has a complete national health insurance. The treatment records of patients are recorded into the National Health Insurance Research Database. With the treatment… (more)

Subjects/Keywords: Impala; Big Data Computing; Apache Hadoop; Hive on Spark; Apache Hive; National Health Insurance Research Database

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

APA (6th Edition):

Chuang, S. (2015). The study of a big data platform for mining computation and storage : the case study of national health insurance database. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624115-131244

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):

Chuang, Shun-hsien. “The study of a big data platform for mining computation and storage : the case study of national health insurance database.” 2015. Thesis, NSYSU. Accessed February 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624115-131244.

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

MLA Handbook (7th Edition):

Chuang, Shun-hsien. “The study of a big data platform for mining computation and storage : the case study of national health insurance database.” 2015. Web. 22 Feb 2019.

Vancouver:

Chuang S. The study of a big data platform for mining computation and storage : the case study of national health insurance database. [Internet] [Thesis]. NSYSU; 2015. [cited 2019 Feb 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624115-131244.

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

Council of Science Editors:

Chuang S. The study of a big data platform for mining computation and storage : the case study of national health insurance database. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624115-131244

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


Youngstown State University

19. Madeti, Preetham. Using Apache Spark's MLlib to Predict Closed Questions on Stack Overflow.

Degree: Master of Computing and Information Systems, Department of Computer Science and Information Systems, 2016, Youngstown State University

 Monitoring posts quality on the Stack Overflow website is of critical importance to make the experience smooth for its users. It strongly disapproves unproductive discussion… (more)

Subjects/Keywords: Computer Science; Information Systems; Machine learning; Feature Extraction; Apache Spark; Stack Overflow; Textual Analysis

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

APA (6th Edition):

Madeti, P. (2016). Using Apache Spark's MLlib to Predict Closed Questions on Stack Overflow. (Masters Thesis). Youngstown State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ysu1463790062

Chicago Manual of Style (16th Edition):

Madeti, Preetham. “Using Apache Spark's MLlib to Predict Closed Questions on Stack Overflow.” 2016. Masters Thesis, Youngstown State University. Accessed February 22, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1463790062.

MLA Handbook (7th Edition):

Madeti, Preetham. “Using Apache Spark's MLlib to Predict Closed Questions on Stack Overflow.” 2016. Web. 22 Feb 2019.

Vancouver:

Madeti P. Using Apache Spark's MLlib to Predict Closed Questions on Stack Overflow. [Internet] [Masters thesis]. Youngstown State University; 2016. [cited 2019 Feb 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1463790062.

Council of Science Editors:

Madeti P. Using Apache Spark's MLlib to Predict Closed Questions on Stack Overflow. [Masters Thesis]. Youngstown State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1463790062


Youngstown State University

20. Makkena, Pradeep Kumar. Predicting Closed Versus Open Questions Using Machine Learning for Improving Community Question Answering Websites.

Degree: Master of Computing and Information Systems, Department of Computer Science and Information Systems, 2017, Youngstown State University

 Community question answer (CQA) websites add great value to the information available on the Web and they have been gaining popularity in the past few… (more)

Subjects/Keywords: Computer Science; Information Systems; Predicting closed questions; Stack overflow closed questions; Classification using Apache Spark

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

APA (6th Edition):

Makkena, P. K. (2017). Predicting Closed Versus Open Questions Using Machine Learning for Improving Community Question Answering Websites. (Masters Thesis). Youngstown State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ysu1516375999820403

Chicago Manual of Style (16th Edition):

Makkena, Pradeep Kumar. “Predicting Closed Versus Open Questions Using Machine Learning for Improving Community Question Answering Websites.” 2017. Masters Thesis, Youngstown State University. Accessed February 22, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1516375999820403.

MLA Handbook (7th Edition):

Makkena, Pradeep Kumar. “Predicting Closed Versus Open Questions Using Machine Learning for Improving Community Question Answering Websites.” 2017. Web. 22 Feb 2019.

Vancouver:

Makkena PK. Predicting Closed Versus Open Questions Using Machine Learning for Improving Community Question Answering Websites. [Internet] [Masters thesis]. Youngstown State University; 2017. [cited 2019 Feb 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1516375999820403.

Council of Science Editors:

Makkena PK. Predicting Closed Versus Open Questions Using Machine Learning for Improving Community Question Answering Websites. [Masters Thesis]. Youngstown State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1516375999820403


UCLA

21. Huyn, Joojay. Scalable Real-Time DDoS Traffic Monitoring and Characterization.

Degree: Computer Science, 2018, UCLA

 High volume DDoS attacks continue to cause serious financial losses and damage to company reputations, despite years of research in preventing and mitigating them. Many… (more)

Subjects/Keywords: Computer science; Apache Spark; Big Data Analytics; DDoS Detection; DDoS Monitoring; Network Security; Streaming Analytics

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

APA (6th Edition):

Huyn, J. (2018). Scalable Real-Time DDoS Traffic Monitoring and Characterization. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/0dr8k7td

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):

Huyn, Joojay. “Scalable Real-Time DDoS Traffic Monitoring and Characterization.” 2018. Thesis, UCLA. Accessed February 22, 2019. http://www.escholarship.org/uc/item/0dr8k7td.

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

MLA Handbook (7th Edition):

Huyn, Joojay. “Scalable Real-Time DDoS Traffic Monitoring and Characterization.” 2018. Web. 22 Feb 2019.

Vancouver:

Huyn J. Scalable Real-Time DDoS Traffic Monitoring and Characterization. [Internet] [Thesis]. UCLA; 2018. [cited 2019 Feb 22]. Available from: http://www.escholarship.org/uc/item/0dr8k7td.

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

Council of Science Editors:

Huyn J. Scalable Real-Time DDoS Traffic Monitoring and Characterization. [Thesis]. UCLA; 2018. Available from: http://www.escholarship.org/uc/item/0dr8k7td

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


University of Saskatchewan

22. Adekoya, Owolabi O 1982-. Understanding Spark System Performance for Image Processing in a Heterogeneous Commodity Cluster.

Degree: 2018, University of Saskatchewan

 In recent years, Apache Spark has seen a widespread adoption in industries and institutions due to its cache mechanism for faster Big Data analytics. However,… (more)

Subjects/Keywords: Apache Spark; Big Data; Hadoop Distributed File System (HDFS); Plant Phenotyping and Imaging Research Centre

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

APA (6th Edition):

Adekoya, O. O. 1. (2018). Understanding Spark System Performance for Image Processing in a Heterogeneous Commodity Cluster. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/9533

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):

Adekoya, Owolabi O 1982-. “Understanding Spark System Performance for Image Processing in a Heterogeneous Commodity Cluster.” 2018. Thesis, University of Saskatchewan. Accessed February 22, 2019. http://hdl.handle.net/10388/9533.

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

MLA Handbook (7th Edition):

Adekoya, Owolabi O 1982-. “Understanding Spark System Performance for Image Processing in a Heterogeneous Commodity Cluster.” 2018. Web. 22 Feb 2019.

Vancouver:

Adekoya OO1. Understanding Spark System Performance for Image Processing in a Heterogeneous Commodity Cluster. [Internet] [Thesis]. University of Saskatchewan; 2018. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/10388/9533.

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

Council of Science Editors:

Adekoya OO1. Understanding Spark System Performance for Image Processing in a Heterogeneous Commodity Cluster. [Thesis]. University of Saskatchewan; 2018. Available from: http://hdl.handle.net/10388/9533

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


University of Houston

23. Subramanyam Varalakshmi, Arjun 1991-. Transforming Point Data into Proximity Graphs.

Degree: Computer Science, Department of, 2018, University of Houston

 Establishing neighborhood relationships among data points is important for several data analysis applications, for which structural information is essential. Since the early 1980’s, proximity graphs… (more)

Subjects/Keywords: Proximity graphs; Apache Spark; Gabriel graph; grid partitioning; scalable; relative neighbor graph

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APA (6th Edition):

Subramanyam Varalakshmi, A. 1. (2018). Transforming Point Data into Proximity Graphs. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3478

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):

Subramanyam Varalakshmi, Arjun 1991-. “Transforming Point Data into Proximity Graphs.” 2018. Thesis, University of Houston. Accessed February 22, 2019. http://hdl.handle.net/10657/3478.

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

MLA Handbook (7th Edition):

Subramanyam Varalakshmi, Arjun 1991-. “Transforming Point Data into Proximity Graphs.” 2018. Web. 22 Feb 2019.

Vancouver:

Subramanyam Varalakshmi A1. Transforming Point Data into Proximity Graphs. [Internet] [Thesis]. University of Houston; 2018. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/10657/3478.

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

Council of Science Editors:

Subramanyam Varalakshmi A1. Transforming Point Data into Proximity Graphs. [Thesis]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/3478

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


University of New Orleans

24. Dahal, Janak. Assessing Apache Spark Streaming with Scientific Data.

Degree: MS, Computer Science, 2018, University of New Orleans

  Processing real-world data requires the ability to analyze data in real-time. Data processing engines like Hadoop come short when results are needed on the… (more)

Subjects/Keywords: Hadoop, Streaming, Apache Spark, real-time processing, fault tolerance, cluster, scalability; Other Computer Sciences

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

APA (6th Edition):

Dahal, J. (2018). Assessing Apache Spark Streaming with Scientific Data. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/2506

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):

Dahal, Janak. “Assessing Apache Spark Streaming with Scientific Data.” 2018. Thesis, University of New Orleans. Accessed February 22, 2019. https://scholarworks.uno.edu/td/2506.

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

MLA Handbook (7th Edition):

Dahal, Janak. “Assessing Apache Spark Streaming with Scientific Data.” 2018. Web. 22 Feb 2019.

Vancouver:

Dahal J. Assessing Apache Spark Streaming with Scientific Data. [Internet] [Thesis]. University of New Orleans; 2018. [cited 2019 Feb 22]. Available from: https://scholarworks.uno.edu/td/2506.

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

Council of Science Editors:

Dahal J. Assessing Apache Spark Streaming with Scientific Data. [Thesis]. University of New Orleans; 2018. Available from: https://scholarworks.uno.edu/td/2506

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


University of Waterloo

25. Hynes, Michael`. A Taylor polynomial expansion line search for large-scale optimization.

Degree: 2016, University of Waterloo

 In trying to cope with the Big Data deluge, the landscape of distributed computing has changed. Large commodity hardware clusters, typically operating in some form… (more)

Subjects/Keywords: line search; optimization; Apache Spark; logistic regression; multilayer perceptron; collaborative filtering; Big Data

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

APA (6th Edition):

Hynes, M. (2016). A Taylor polynomial expansion line search for large-scale optimization. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10708

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):

Hynes, Michael`. “A Taylor polynomial expansion line search for large-scale optimization.” 2016. Thesis, University of Waterloo. Accessed February 22, 2019. http://hdl.handle.net/10012/10708.

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

MLA Handbook (7th Edition):

Hynes, Michael`. “A Taylor polynomial expansion line search for large-scale optimization.” 2016. Web. 22 Feb 2019.

Vancouver:

Hynes M. A Taylor polynomial expansion line search for large-scale optimization. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/10012/10708.

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

Council of Science Editors:

Hynes M. A Taylor polynomial expansion line search for large-scale optimization. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10708

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

26. Junceira, João Miguel da Conceição. Análise de soluções para Big Data Mining.

Degree: 2017, Repositório Científico do Instituto Politécnico de Lisboa

Dissertação para obtenção do grau de mestre em Engenharia Informática e de Computadores

Minerar dados não é uma tarefa trivial. Exige o conhecimento de diversos… (more)

Subjects/Keywords: Big Data; Data mining; Classification; Regression; Apache spark; Mineração de dados; Classificação; Regressão; R

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

APA (6th Edition):

Junceira, J. M. d. C. (2017). Análise de soluções para Big Data Mining. (Thesis). Repositório Científico do Instituto Politécnico de Lisboa. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/8300

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):

Junceira, João Miguel da Conceição. “Análise de soluções para Big Data Mining.” 2017. Thesis, Repositório Científico do Instituto Politécnico de Lisboa. Accessed February 22, 2019. https://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/8300.

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

MLA Handbook (7th Edition):

Junceira, João Miguel da Conceição. “Análise de soluções para Big Data Mining.” 2017. Web. 22 Feb 2019.

Vancouver:

Junceira JMdC. Análise de soluções para Big Data Mining. [Internet] [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2017. [cited 2019 Feb 22]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/8300.

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

Council of Science Editors:

Junceira JMdC. Análise de soluções para Big Data Mining. [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2017. Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/8300

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


University of Ottawa

27. Malondkar, Ameya Mohan. Extending the Growing Hierarchical Self Organizing Maps for a Large Mixed-Attribute Dataset Using Spark MapReduce .

Degree: 2015, University of Ottawa

 In this thesis work, we propose a Map-Reduce variant of the Growing Hierarchical Self Organizing Map (GHSOM) called MR-GHSOM, which is capable of handling mixed… (more)

Subjects/Keywords: Self Organizing Map; Map-Reduce; Growing Hierarchical Self Organizing Map; GHSOM; SOM; Apache Spark

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

APA (6th Edition):

Malondkar, A. M. (2015). Extending the Growing Hierarchical Self Organizing Maps for a Large Mixed-Attribute Dataset Using Spark MapReduce . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/33385

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):

Malondkar, Ameya Mohan. “Extending the Growing Hierarchical Self Organizing Maps for a Large Mixed-Attribute Dataset Using Spark MapReduce .” 2015. Thesis, University of Ottawa. Accessed February 22, 2019. http://hdl.handle.net/10393/33385.

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

MLA Handbook (7th Edition):

Malondkar, Ameya Mohan. “Extending the Growing Hierarchical Self Organizing Maps for a Large Mixed-Attribute Dataset Using Spark MapReduce .” 2015. Web. 22 Feb 2019.

Vancouver:

Malondkar AM. Extending the Growing Hierarchical Self Organizing Maps for a Large Mixed-Attribute Dataset Using Spark MapReduce . [Internet] [Thesis]. University of Ottawa; 2015. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/10393/33385.

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

Council of Science Editors:

Malondkar AM. Extending the Growing Hierarchical Self Organizing Maps for a Large Mixed-Attribute Dataset Using Spark MapReduce . [Thesis]. University of Ottawa; 2015. Available from: http://hdl.handle.net/10393/33385

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


UCLA

28. Wei, Peng. Enabling Customized Computing in Datacenters: from Accelerator Design to System Integration.

Degree: Computer Science, 2018, UCLA

 CPU-FPGA heterogeneous architectures are attracting ever-increasing attention in an attempt to advance computational capabilities and energy efficiency in today's datacenters. Such architectures provide programmers with… (more)

Subjects/Keywords: Computer science; Apache Spark; Computational Genetics; FPGA; Heterogeneous Computing; High-Level Synthesis

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

APA (6th Edition):

Wei, P. (2018). Enabling Customized Computing in Datacenters: from Accelerator Design to System Integration. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/8bw0q5c8

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, Peng. “Enabling Customized Computing in Datacenters: from Accelerator Design to System Integration.” 2018. Thesis, UCLA. Accessed February 22, 2019. http://www.escholarship.org/uc/item/8bw0q5c8.

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

MLA Handbook (7th Edition):

Wei, Peng. “Enabling Customized Computing in Datacenters: from Accelerator Design to System Integration.” 2018. Web. 22 Feb 2019.

Vancouver:

Wei P. Enabling Customized Computing in Datacenters: from Accelerator Design to System Integration. [Internet] [Thesis]. UCLA; 2018. [cited 2019 Feb 22]. Available from: http://www.escholarship.org/uc/item/8bw0q5c8.

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

Council of Science Editors:

Wei P. Enabling Customized Computing in Datacenters: from Accelerator Design to System Integration. [Thesis]. UCLA; 2018. Available from: http://www.escholarship.org/uc/item/8bw0q5c8

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

29. Pinheiro, Gil Machado Silva. Sistema de armazenamento de grande volume de dados para sistemas energéticos inteligentes.

Degree: 2017, Instituto Politécnico do Porto

O sector elétrico encontra-se num ponto fulcral da sua evolução. A mais recente conferência sobre as alterações climáticas das Nações Unidas (COP21 ou CMP11), realizada… (more)

Subjects/Keywords: Armazenamento BigData; Smart Grids; Apache Spark; Cassandra; SMACK; YCSB; BigData Storage; Sistemas Computacionais

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

APA (6th Edition):

Pinheiro, G. M. S. (2017). Sistema de armazenamento de grande volume de dados para sistemas energéticos inteligentes. (Thesis). Instituto Politécnico do Porto. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11696

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):

Pinheiro, Gil Machado Silva. “Sistema de armazenamento de grande volume de dados para sistemas energéticos inteligentes.” 2017. Thesis, Instituto Politécnico do Porto. Accessed February 22, 2019. https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11696.

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

MLA Handbook (7th Edition):

Pinheiro, Gil Machado Silva. “Sistema de armazenamento de grande volume de dados para sistemas energéticos inteligentes.” 2017. Web. 22 Feb 2019.

Vancouver:

Pinheiro GMS. Sistema de armazenamento de grande volume de dados para sistemas energéticos inteligentes. [Internet] [Thesis]. Instituto Politécnico do Porto; 2017. [cited 2019 Feb 22]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11696.

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

Council of Science Editors:

Pinheiro GMS. Sistema de armazenamento de grande volume de dados para sistemas energéticos inteligentes. [Thesis]. Instituto Politécnico do Porto; 2017. Available from: https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11696

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


KTH

30. Cannalire, Pietro. Geo-distributed multi-layer stream aggregation.

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

The standard processing architectures are enough to satisfy a lot of applications by employing already existing stream processing frameworks which are able to manage… (more)

Subjects/Keywords: stream processing; geo-distributed; architecture; algorithms; windowing; data synopses; Apache Spark Structured Streaming; Apache Kafka; Misra-Gries algorithm; flödesbehandling; geo-distribuerade; arkitekturen; algoritmerna; windowing; data synopses; Apache Spark Structured Streaming; Apache Kafka; Misra-Gries-algoritmen; 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):

Cannalire, P. (2018). Geo-distributed multi-layer stream aggregation. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230217

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):

Cannalire, Pietro. “Geo-distributed multi-layer stream aggregation.” 2018. Thesis, KTH. Accessed February 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230217.

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

MLA Handbook (7th Edition):

Cannalire, Pietro. “Geo-distributed multi-layer stream aggregation.” 2018. Web. 22 Feb 2019.

Vancouver:

Cannalire P. Geo-distributed multi-layer stream aggregation. [Internet] [Thesis]. KTH; 2018. [cited 2019 Feb 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230217.

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

Council of Science Editors:

Cannalire P. Geo-distributed multi-layer stream aggregation. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230217

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

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