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You searched for subject:(Data streams ). Showing records 1 – 30 of 89 total matches.

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1. Giatrakos, Nikolaos. Monitoring and mining distributed data streams.

Degree: 2012, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς

Many modern streaming applications, such as online analysis of financial, network, sensor and other forms of data are inherently distributed in nature. Due to the… (more)

Subjects/Keywords: Ρεύματα δεδομένων; Data streams

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

APA (6th Edition):

Giatrakos, N. (2012). Monitoring and mining distributed data streams. (Thesis). University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Retrieved from http://hdl.handle.net/10442/hedi/34595

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):

Giatrakos, Nikolaos. “Monitoring and mining distributed data streams.” 2012. Thesis, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Accessed January 22, 2020. http://hdl.handle.net/10442/hedi/34595.

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

MLA Handbook (7th Edition):

Giatrakos, Nikolaos. “Monitoring and mining distributed data streams.” 2012. Web. 22 Jan 2020.

Vancouver:

Giatrakos N. Monitoring and mining distributed data streams. [Internet] [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2012. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10442/hedi/34595.

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

Council of Science Editors:

Giatrakos N. Monitoring and mining distributed data streams. [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2012. Available from: http://hdl.handle.net/10442/hedi/34595

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

2. Sotiropoulos, Ioannis. Combining relational and stream data for rea l- time analytics.

Degree: 2013, Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών

Nowadays, more and more organizations realize the importance of analyzing available data. While most of the times data is stored, over the last years there… (more)

Subjects/Keywords: Ροές δεδομένων; Data streams

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APA (6th Edition):

Sotiropoulos, I. (2013). Combining relational and stream data for rea l- time analytics. (Thesis). Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών. Retrieved from http://hdl.handle.net/10442/hedi/43164

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):

Sotiropoulos, Ioannis. “Combining relational and stream data for rea l- time analytics.” 2013. Thesis, Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών. Accessed January 22, 2020. http://hdl.handle.net/10442/hedi/43164.

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

MLA Handbook (7th Edition):

Sotiropoulos, Ioannis. “Combining relational and stream data for rea l- time analytics.” 2013. Web. 22 Jan 2020.

Vancouver:

Sotiropoulos I. Combining relational and stream data for rea l- time analytics. [Internet] [Thesis]. Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών; 2013. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10442/hedi/43164.

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

Council of Science Editors:

Sotiropoulos I. Combining relational and stream data for rea l- time analytics. [Thesis]. Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών; 2013. Available from: http://hdl.handle.net/10442/hedi/43164

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


University of Notre Dame

3. Alec Pawling. Data Warehousing for Social Networking and Human Mobility Research and Detecting Real-World Events in Space and Time Using Feature Clustering</h1>.

Degree: PhD, Computer Science and Engineering, 2010, University of Notre Dame

  In this dissertation, we address two problems associated with the development of an emergency response system that utilizes a cell phone network as a… (more)

Subjects/Keywords: data warehousing; data streams; data clustering

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APA (6th Edition):

Pawling, A. (2010). Data Warehousing for Social Networking and Human Mobility Research and Detecting Real-World Events in Space and Time Using Feature Clustering</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/zw12z319b3f

Chicago Manual of Style (16th Edition):

Pawling, Alec. “Data Warehousing for Social Networking and Human Mobility Research and Detecting Real-World Events in Space and Time Using Feature Clustering</h1>.” 2010. Doctoral Dissertation, University of Notre Dame. Accessed January 22, 2020. https://curate.nd.edu/show/zw12z319b3f.

MLA Handbook (7th Edition):

Pawling, Alec. “Data Warehousing for Social Networking and Human Mobility Research and Detecting Real-World Events in Space and Time Using Feature Clustering</h1>.” 2010. Web. 22 Jan 2020.

Vancouver:

Pawling A. Data Warehousing for Social Networking and Human Mobility Research and Detecting Real-World Events in Space and Time Using Feature Clustering</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2010. [cited 2020 Jan 22]. Available from: https://curate.nd.edu/show/zw12z319b3f.

Council of Science Editors:

Pawling A. Data Warehousing for Social Networking and Human Mobility Research and Detecting Real-World Events in Space and Time Using Feature Clustering</h1>. [Doctoral Dissertation]. University of Notre Dame; 2010. Available from: https://curate.nd.edu/show/zw12z319b3f


NSYSU

4. Lin, Shu-Yi. The GDense Algorithm for Clustering Data Streams with High Quality.

Degree: Master, Computer Science and Engineering, 2009, NSYSU

 In recent years, mining data streams has been widely studied. A data streams is a sequence of dynamic, continuous, unbounded and real time data items… (more)

Subjects/Keywords: density-based; grid-based; clustering; data streams

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APA (6th Edition):

Lin, S. (2009). The GDense Algorithm for Clustering Data Streams with High Quality. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625109-171938

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):

Lin, Shu-Yi. “The GDense Algorithm for Clustering Data Streams with High Quality.” 2009. Thesis, NSYSU. Accessed January 22, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625109-171938.

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

MLA Handbook (7th Edition):

Lin, Shu-Yi. “The GDense Algorithm for Clustering Data Streams with High Quality.” 2009. Web. 22 Jan 2020.

Vancouver:

Lin S. The GDense Algorithm for Clustering Data Streams with High Quality. [Internet] [Thesis]. NSYSU; 2009. [cited 2020 Jan 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625109-171938.

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

Council of Science Editors:

Lin S. The GDense Algorithm for Clustering Data Streams with High Quality. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625109-171938

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


University of Ontario Institute of Technology

5. Kamaleswaran, Rishikesan. A dynamic visual analytics framework for complex temporal environments.

Degree: 2016, University of Ontario Institute of Technology

 Introduction: Data streams are produced by sensors that sample an external system at a periodic interval. As the cost of developing sensors continues to fall,… (more)

Subjects/Keywords: Dynamic visual analytics; Physiologic; Data streams; Temporal domains; Complex domain

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APA (6th Edition):

Kamaleswaran, R. (2016). A dynamic visual analytics framework for complex temporal environments. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/689

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):

Kamaleswaran, Rishikesan. “A dynamic visual analytics framework for complex temporal environments.” 2016. Thesis, University of Ontario Institute of Technology. Accessed January 22, 2020. http://hdl.handle.net/10155/689.

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

MLA Handbook (7th Edition):

Kamaleswaran, Rishikesan. “A dynamic visual analytics framework for complex temporal environments.” 2016. Web. 22 Jan 2020.

Vancouver:

Kamaleswaran R. A dynamic visual analytics framework for complex temporal environments. [Internet] [Thesis]. University of Ontario Institute of Technology; 2016. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10155/689.

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

Council of Science Editors:

Kamaleswaran R. A dynamic visual analytics framework for complex temporal environments. [Thesis]. University of Ontario Institute of Technology; 2016. Available from: http://hdl.handle.net/10155/689

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

6. Paiva, Elaine Ribeiro de Faria. Detecção de novidade em fluxos contínuos de dados multiclasse.

Degree: PhD, Ciências de Computação e Matemática Computacional, 2014, University of São Paulo

Mineração de fluxos contínuos de dados é uma área de pesquisa emergente que visa extrair conhecimento a partir de grandes quantidades de dados, gerados continuamente.… (more)

Subjects/Keywords: Data streams; Detecção de novidades; Fluxos contínuos de dados; Novelty detection

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APA (6th Edition):

Paiva, E. R. d. F. (2014). Detecção de novidade em fluxos contínuos de dados multiclasse. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14072014-142248/ ;

Chicago Manual of Style (16th Edition):

Paiva, Elaine Ribeiro de Faria. “Detecção de novidade em fluxos contínuos de dados multiclasse.” 2014. Doctoral Dissertation, University of São Paulo. Accessed January 22, 2020. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14072014-142248/ ;.

MLA Handbook (7th Edition):

Paiva, Elaine Ribeiro de Faria. “Detecção de novidade em fluxos contínuos de dados multiclasse.” 2014. Web. 22 Jan 2020.

Vancouver:

Paiva ERdF. Detecção de novidade em fluxos contínuos de dados multiclasse. [Internet] [Doctoral dissertation]. University of São Paulo; 2014. [cited 2020 Jan 22]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14072014-142248/ ;.

Council of Science Editors:

Paiva ERdF. Detecção de novidade em fluxos contínuos de dados multiclasse. [Doctoral Dissertation]. University of São Paulo; 2014. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14072014-142248/ ;


University of Pennsylvania

7. Raghothaman, Mukund. Regular Programming Over Data Streams.

Degree: 2017, University of Pennsylvania

Data streams arise in a variety of applications, such as feeds from financial markets, event streams from sensors and medical devices, logs produced by long-running… (more)

Subjects/Keywords: Data streams; Programming languages; Quantitative analysis; Regular expressions; Computer Sciences

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APA (6th Edition):

Raghothaman, M. (2017). Regular Programming Over Data Streams. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2540

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):

Raghothaman, Mukund. “Regular Programming Over Data Streams.” 2017. Thesis, University of Pennsylvania. Accessed January 22, 2020. https://repository.upenn.edu/edissertations/2540.

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

MLA Handbook (7th Edition):

Raghothaman, Mukund. “Regular Programming Over Data Streams.” 2017. Web. 22 Jan 2020.

Vancouver:

Raghothaman M. Regular Programming Over Data Streams. [Internet] [Thesis]. University of Pennsylvania; 2017. [cited 2020 Jan 22]. Available from: https://repository.upenn.edu/edissertations/2540.

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

Council of Science Editors:

Raghothaman M. Regular Programming Over Data Streams. [Thesis]. University of Pennsylvania; 2017. Available from: https://repository.upenn.edu/edissertations/2540

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

8. Σαχαρίδης, Δημήτριος. Διαχείριση ρευμάτων δεδομένων.

Degree: 2008, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

Due to the continuous technological development, information from multiple sources is now available forming streams of data in need of immediate treatment in real time.… (more)

Subjects/Keywords: Ρεύματα δεδομένων; Περιλήψεις; Συνόψεις; Μετασχηματισμός κυματιδίων; Data streams; Synopses; Wavelet transformation

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APA (6th Edition):

Σαχαρίδης, . . (2008). Διαχείριση ρευμάτων δεδομένων. (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/17154

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):

Σαχαρίδης, Δημήτριος. “Διαχείριση ρευμάτων δεδομένων.” 2008. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed January 22, 2020. http://hdl.handle.net/10442/hedi/17154.

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

MLA Handbook (7th Edition):

Σαχαρίδης, Δημήτριος. “Διαχείριση ρευμάτων δεδομένων.” 2008. Web. 22 Jan 2020.

Vancouver:

Σαχαρίδης . Διαχείριση ρευμάτων δεδομένων. [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2008. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10442/hedi/17154.

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

Council of Science Editors:

Σαχαρίδης . Διαχείριση ρευμάτων δεδομένων. [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2008. Available from: http://hdl.handle.net/10442/hedi/17154

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


NSYSU

9. Peng, Wei-hau. An Efficient Subset-Lattice Algorithm for Mining Closed Frequent Itemsets in Data Streams.

Degree: Master, Computer Science and Engineering, 2009, NSYSU

 Online mining association rules over data streams is an important issue in the area of data mining, where an association rule means that the presence… (more)

Subjects/Keywords: frequent itemset; closed frequent itemset; Data Streams; Association Rules

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

APA (6th Edition):

Peng, W. (2009). An Efficient Subset-Lattice Algorithm for Mining Closed Frequent Itemsets in Data Streams. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625109-204302

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):

Peng, Wei-hau. “An Efficient Subset-Lattice Algorithm for Mining Closed Frequent Itemsets in Data Streams.” 2009. Thesis, NSYSU. Accessed January 22, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625109-204302.

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

MLA Handbook (7th Edition):

Peng, Wei-hau. “An Efficient Subset-Lattice Algorithm for Mining Closed Frequent Itemsets in Data Streams.” 2009. Web. 22 Jan 2020.

Vancouver:

Peng W. An Efficient Subset-Lattice Algorithm for Mining Closed Frequent Itemsets in Data Streams. [Internet] [Thesis]. NSYSU; 2009. [cited 2020 Jan 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625109-204302.

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

Council of Science Editors:

Peng W. An Efficient Subset-Lattice Algorithm for Mining Closed Frequent Itemsets in Data Streams. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625109-204302

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


University of Ottawa

10. Alabdulrahman, Rabaa. A Comparative Study of Ensemble Active Learning .

Degree: 2014, University of Ottawa

Data Stream mining is an important emerging topic in the data mining and machine learning domain. In a Data Stream setting, the data arrive continuously… (more)

Subjects/Keywords: Data Streams; Ensemble Learning; Active Learning; Active Ensemble Learning

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

APA (6th Edition):

Alabdulrahman, R. (2014). A Comparative Study of Ensemble Active Learning . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/31805

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):

Alabdulrahman, Rabaa. “A Comparative Study of Ensemble Active Learning .” 2014. Thesis, University of Ottawa. Accessed January 22, 2020. http://hdl.handle.net/10393/31805.

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

MLA Handbook (7th Edition):

Alabdulrahman, Rabaa. “A Comparative Study of Ensemble Active Learning .” 2014. Web. 22 Jan 2020.

Vancouver:

Alabdulrahman R. A Comparative Study of Ensemble Active Learning . [Internet] [Thesis]. University of Ottawa; 2014. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10393/31805.

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

Council of Science Editors:

Alabdulrahman R. A Comparative Study of Ensemble Active Learning . [Thesis]. University of Ottawa; 2014. Available from: http://hdl.handle.net/10393/31805

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


University of Ottawa

11. Moulton, Richard Hugh. Clustering to Improve One-Class Classifier Performance in Data Streams .

Degree: 2018, University of Ottawa

 The classification task requires learning a decision boundary between classes by making use of training examples from each. A potential challenge for this task is… (more)

Subjects/Keywords: machine learning; one-class classification; data streams; sub-concepts

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APA (6th Edition):

Moulton, R. H. (2018). Clustering to Improve One-Class Classifier Performance in Data Streams . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/38030

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):

Moulton, Richard Hugh. “Clustering to Improve One-Class Classifier Performance in Data Streams .” 2018. Thesis, University of Ottawa. Accessed January 22, 2020. http://hdl.handle.net/10393/38030.

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

MLA Handbook (7th Edition):

Moulton, Richard Hugh. “Clustering to Improve One-Class Classifier Performance in Data Streams .” 2018. Web. 22 Jan 2020.

Vancouver:

Moulton RH. Clustering to Improve One-Class Classifier Performance in Data Streams . [Internet] [Thesis]. University of Ottawa; 2018. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10393/38030.

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

Council of Science Editors:

Moulton RH. Clustering to Improve One-Class Classifier Performance in Data Streams . [Thesis]. University of Ottawa; 2018. Available from: http://hdl.handle.net/10393/38030

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


University of Ottawa

12. Floyd, Sean Louis Alan. Semi-Supervised Hybrid Windowing Ensembles for Learning from Evolving Streams .

Degree: 2019, University of Ottawa

 In this thesis, learning refers to the intelligent computational extraction of knowledge from data. Supervised learning tasks require data to be annotated with labels, whereas… (more)

Subjects/Keywords: Ensemble learning; Data streams; Concept drift; Online learning; Non-stationary environments

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APA (6th Edition):

Floyd, S. L. A. (2019). Semi-Supervised Hybrid Windowing Ensembles for Learning from Evolving Streams . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/39273

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):

Floyd, Sean Louis Alan. “Semi-Supervised Hybrid Windowing Ensembles for Learning from Evolving Streams .” 2019. Thesis, University of Ottawa. Accessed January 22, 2020. http://hdl.handle.net/10393/39273.

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

MLA Handbook (7th Edition):

Floyd, Sean Louis Alan. “Semi-Supervised Hybrid Windowing Ensembles for Learning from Evolving Streams .” 2019. Web. 22 Jan 2020.

Vancouver:

Floyd SLA. Semi-Supervised Hybrid Windowing Ensembles for Learning from Evolving Streams . [Internet] [Thesis]. University of Ottawa; 2019. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10393/39273.

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

Council of Science Editors:

Floyd SLA. Semi-Supervised Hybrid Windowing Ensembles for Learning from Evolving Streams . [Thesis]. University of Ottawa; 2019. Available from: http://hdl.handle.net/10393/39273

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


University of New South Wales

13. Shah, Zubair. Efficient Algorithms to Compute Hierarchical Summaries from Big Data Streams.

Degree: Engineering & Information Technology, 2017, University of New South Wales

 Many data stream applications have hierarchical data; containing time, geographic locations, product information, clickstreams, server logs, IP addresses. A hierarchical summary of such volumous data(more)

Subjects/Keywords: hierarchical heavy hitters; data streams; heavy hitters; hierarchically correlated heavy hitters

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APA (6th Edition):

Shah, Z. (2017). Efficient Algorithms to Compute Hierarchical Summaries from Big Data Streams. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/58988 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48146/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Shah, Zubair. “Efficient Algorithms to Compute Hierarchical Summaries from Big Data Streams.” 2017. Doctoral Dissertation, University of New South Wales. Accessed January 22, 2020. http://handle.unsw.edu.au/1959.4/58988 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48146/SOURCE02?view=true.

MLA Handbook (7th Edition):

Shah, Zubair. “Efficient Algorithms to Compute Hierarchical Summaries from Big Data Streams.” 2017. Web. 22 Jan 2020.

Vancouver:

Shah Z. Efficient Algorithms to Compute Hierarchical Summaries from Big Data Streams. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2020 Jan 22]. Available from: http://handle.unsw.edu.au/1959.4/58988 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48146/SOURCE02?view=true.

Council of Science Editors:

Shah Z. Efficient Algorithms to Compute Hierarchical Summaries from Big Data Streams. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/58988 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48146/SOURCE02?view=true

14. Forsgren, Gustav. Multiple Synchronized Video Streams on IP Network.

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

  Video surveillance today can look very different depending on the objective and on the location where it is used. Some applications need a high… (more)

Subjects/Keywords: Networking; UDP; Kapsch TrafficCom; Video Streams; Data Compression

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

APA (6th Edition):

Forsgren, G. (2014). Multiple Synchronized Video Streams on IP Network. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-108491

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):

Forsgren, Gustav. “Multiple Synchronized Video Streams on IP Network.” 2014. Thesis, Linköping UniversityLinköping University. Accessed January 22, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-108491.

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

MLA Handbook (7th Edition):

Forsgren, Gustav. “Multiple Synchronized Video Streams on IP Network.” 2014. Web. 22 Jan 2020.

Vancouver:

Forsgren G. Multiple Synchronized Video Streams on IP Network. [Internet] [Thesis]. Linköping UniversityLinköping University; 2014. [cited 2020 Jan 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-108491.

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

Council of Science Editors:

Forsgren G. Multiple Synchronized Video Streams on IP Network. [Thesis]. Linköping UniversityLinköping University; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-108491

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

15. Albertini, Marcelo Keese. Adaptação de viés indutivo de algoritmos de agrupamento de fluxos de dados.

Degree: PhD, Ciências de Computação e Matemática Computacional, 2012, University of São Paulo

Diversas áreas de pesquisa são dedicadas à compreensão de fenômenos que exigem a coleta ininterrupta de sequências de amostras, denominadas fluxos de dados. Esses fenômenos… (more)

Subjects/Keywords: Agrupamento de dados; Aprendizado de máquina; Data clustering; Data streams; Fluxosa de dados; Machine learning

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

APA (6th Edition):

Albertini, M. K. (2012). Adaptação de viés indutivo de algoritmos de agrupamento de fluxos de dados. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12062012-085839/ ;

Chicago Manual of Style (16th Edition):

Albertini, Marcelo Keese. “Adaptação de viés indutivo de algoritmos de agrupamento de fluxos de dados.” 2012. Doctoral Dissertation, University of São Paulo. Accessed January 22, 2020. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12062012-085839/ ;.

MLA Handbook (7th Edition):

Albertini, Marcelo Keese. “Adaptação de viés indutivo de algoritmos de agrupamento de fluxos de dados.” 2012. Web. 22 Jan 2020.

Vancouver:

Albertini MK. Adaptação de viés indutivo de algoritmos de agrupamento de fluxos de dados. [Internet] [Doctoral dissertation]. University of São Paulo; 2012. [cited 2020 Jan 22]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12062012-085839/ ;.

Council of Science Editors:

Albertini MK. Adaptação de viés indutivo de algoritmos de agrupamento de fluxos de dados. [Doctoral Dissertation]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12062012-085839/ ;

16. Κορβέσης, Παναγιώτης. Τεχνικές εξόρυξης χώρο-χρονικών δεδομένων και εφαρμογές τους στην ανάλυση ηλεκτροεγκεφαλογραφήματος.

Degree: 2013, University of Patras

Η εξόρυξη χώρο-χρονικών δεδομένων αποτελεί πλέον μία από τις σημαντικότερες κατευθύνσεις του κλάδου της εξόρυξης γνώσης. Κάποια από τα βασικά προβλήματα που καλείται να αντιμετωπίσει… (more)

Subjects/Keywords: Εξόρυξη χωρο-χρονικών δεδομένων; Ροές δεδομένων; Ηλεκτροεγκεφαλογράφημα; 006.312; Spatiotemporal data mining; Data streams; Electroencephalography

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

APA (6th Edition):

Κορβέσης, . (2013). Τεχνικές εξόρυξης χώρο-χρονικών δεδομένων και εφαρμογές τους στην ανάλυση ηλεκτροεγκεφαλογραφήματος. (Masters Thesis). University of Patras. Retrieved from http://hdl.handle.net/10889/7524

Chicago Manual of Style (16th Edition):

Κορβέσης, Παναγιώτης. “Τεχνικές εξόρυξης χώρο-χρονικών δεδομένων και εφαρμογές τους στην ανάλυση ηλεκτροεγκεφαλογραφήματος.” 2013. Masters Thesis, University of Patras. Accessed January 22, 2020. http://hdl.handle.net/10889/7524.

MLA Handbook (7th Edition):

Κορβέσης, Παναγιώτης. “Τεχνικές εξόρυξης χώρο-χρονικών δεδομένων και εφαρμογές τους στην ανάλυση ηλεκτροεγκεφαλογραφήματος.” 2013. Web. 22 Jan 2020.

Vancouver:

Κορβέσης . Τεχνικές εξόρυξης χώρο-χρονικών δεδομένων και εφαρμογές τους στην ανάλυση ηλεκτροεγκεφαλογραφήματος. [Internet] [Masters thesis]. University of Patras; 2013. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10889/7524.

Council of Science Editors:

Κορβέσης . Τεχνικές εξόρυξης χώρο-χρονικών δεδομένων και εφαρμογές τους στην ανάλυση ηλεκτροεγκεφαλογραφήματος. [Masters Thesis]. University of Patras; 2013. Available from: http://hdl.handle.net/10889/7524


University of California – Riverside

17. Hao, Yuan. Supervised and Unsupervised Discovery of Structures in Large Data Archives.

Degree: Computer Science, 2014, University of California – Riverside

 Most domains of human interest now generate enormous, diverse data (text, time series, image, audio and video, etc) everyday. Extracting useful knowledge from such data(more)

Subjects/Keywords: Computer science; Audio Processing; Classification; Clustering; Data Mining; Data Streams; Time Series

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

APA (6th Edition):

Hao, Y. (2014). Supervised and Unsupervised Discovery of Structures in Large Data Archives. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/48b029zq

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):

Hao, Yuan. “Supervised and Unsupervised Discovery of Structures in Large Data Archives.” 2014. Thesis, University of California – Riverside. Accessed January 22, 2020. http://www.escholarship.org/uc/item/48b029zq.

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

MLA Handbook (7th Edition):

Hao, Yuan. “Supervised and Unsupervised Discovery of Structures in Large Data Archives.” 2014. Web. 22 Jan 2020.

Vancouver:

Hao Y. Supervised and Unsupervised Discovery of Structures in Large Data Archives. [Internet] [Thesis]. University of California – Riverside; 2014. [cited 2020 Jan 22]. Available from: http://www.escholarship.org/uc/item/48b029zq.

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

Council of Science Editors:

Hao Y. Supervised and Unsupervised Discovery of Structures in Large Data Archives. [Thesis]. University of California – Riverside; 2014. Available from: http://www.escholarship.org/uc/item/48b029zq

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


Iowa State University

18. Xu, Bojian. A study of time-decayed aggregates computation on data streams.

Degree: 2009, Iowa State University

 Many real world data naturally arrive as rapid paced and virtually unbounded streams. Examples of such streams include network traffic at a router, events observed… (more)

Subjects/Keywords: Aggregates; Asynchronous data streams; Data streams; Time-decay; Electrical and Computer Engineering

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

APA (6th Edition):

Xu, B. (2009). A study of time-decayed aggregates computation on data streams. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/10956

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):

Xu, Bojian. “A study of time-decayed aggregates computation on data streams.” 2009. Thesis, Iowa State University. Accessed January 22, 2020. https://lib.dr.iastate.edu/etd/10956.

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

MLA Handbook (7th Edition):

Xu, Bojian. “A study of time-decayed aggregates computation on data streams.” 2009. Web. 22 Jan 2020.

Vancouver:

Xu B. A study of time-decayed aggregates computation on data streams. [Internet] [Thesis]. Iowa State University; 2009. [cited 2020 Jan 22]. Available from: https://lib.dr.iastate.edu/etd/10956.

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

Council of Science Editors:

Xu B. A study of time-decayed aggregates computation on data streams. [Thesis]. Iowa State University; 2009. Available from: https://lib.dr.iastate.edu/etd/10956

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


University of Ontario Institute of Technology

19. Kamaleswaran, Rishikesan. CBPsp: complex business processes for stream processing.

Degree: 2011, University of Ontario Institute of Technology

 This thesis presents the framework of a complex business process driven event stream processing system to produce meaningful output with direct implications to the business… (more)

Subjects/Keywords: Complex business processes; Event stream processing; Data streams; Real-time enactment; Clinical decision support system

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

APA (6th Edition):

Kamaleswaran, R. (2011). CBPsp: complex business processes for stream processing. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/151

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):

Kamaleswaran, Rishikesan. “CBPsp: complex business processes for stream processing.” 2011. Thesis, University of Ontario Institute of Technology. Accessed January 22, 2020. http://hdl.handle.net/10155/151.

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

MLA Handbook (7th Edition):

Kamaleswaran, Rishikesan. “CBPsp: complex business processes for stream processing.” 2011. Web. 22 Jan 2020.

Vancouver:

Kamaleswaran R. CBPsp: complex business processes for stream processing. [Internet] [Thesis]. University of Ontario Institute of Technology; 2011. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10155/151.

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

Council of Science Editors:

Kamaleswaran R. CBPsp: complex business processes for stream processing. [Thesis]. University of Ontario Institute of Technology; 2011. Available from: http://hdl.handle.net/10155/151

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


University of Ontario Institute of Technology

20. Naik, Tanvi. Automated partial premature infant pain profile scoring using big data analytics.

Degree: 2017, University of Ontario Institute of Technology

 Lack of valid and reliable pain assessment in the neonatal population has become a significant challenge in the Neonatal Intensive Care Unit (NICU). Current practice… (more)

Subjects/Keywords: Neonate; Neonatal pain management; Clinical decision support system; Pain scale; Physiological data streams

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

APA (6th Edition):

Naik, T. (2017). Automated partial premature infant pain profile scoring using big data analytics. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/777

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):

Naik, Tanvi. “Automated partial premature infant pain profile scoring using big data analytics.” 2017. Thesis, University of Ontario Institute of Technology. Accessed January 22, 2020. http://hdl.handle.net/10155/777.

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

MLA Handbook (7th Edition):

Naik, Tanvi. “Automated partial premature infant pain profile scoring using big data analytics.” 2017. Web. 22 Jan 2020.

Vancouver:

Naik T. Automated partial premature infant pain profile scoring using big data analytics. [Internet] [Thesis]. University of Ontario Institute of Technology; 2017. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10155/777.

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

Council of Science Editors:

Naik T. Automated partial premature infant pain profile scoring using big data analytics. [Thesis]. University of Ontario Institute of Technology; 2017. Available from: http://hdl.handle.net/10155/777

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

21. Rossi, Andre Luís Debiaso. Meta-aprendizado aplicado a fluxos contínuos de dados.

Degree: PhD, Ciências de Computação e Matemática Computacional, 2013, University of São Paulo

Algoritmos de aprendizado de máquina são amplamente empregados na indução de modelos para descoberta de conhecimento em conjuntos de dados. Como grande parte desses algoritmos… (more)

Subjects/Keywords: Algorithm selection; Data streams; Fluxos contínuos de dados; Meta-aprendizado; Metalearning; Seleção de algoritmos

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

APA (6th Edition):

Rossi, A. L. D. (2013). Meta-aprendizado aplicado a fluxos contínuos de dados. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-26032014-155351/ ;

Chicago Manual of Style (16th Edition):

Rossi, Andre Luís Debiaso. “Meta-aprendizado aplicado a fluxos contínuos de dados.” 2013. Doctoral Dissertation, University of São Paulo. Accessed January 22, 2020. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-26032014-155351/ ;.

MLA Handbook (7th Edition):

Rossi, Andre Luís Debiaso. “Meta-aprendizado aplicado a fluxos contínuos de dados.” 2013. Web. 22 Jan 2020.

Vancouver:

Rossi ALD. Meta-aprendizado aplicado a fluxos contínuos de dados. [Internet] [Doctoral dissertation]. University of São Paulo; 2013. [cited 2020 Jan 22]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-26032014-155351/ ;.

Council of Science Editors:

Rossi ALD. Meta-aprendizado aplicado a fluxos contínuos de dados. [Doctoral Dissertation]. University of São Paulo; 2013. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-26032014-155351/ ;


Wright State University

22. Sridharan, Vaikunth. Sensor Data Streams Correlation Platform for Asthma Management.

Degree: MS, Computer Science, 2018, Wright State University

 Asthma is a high-burden chronic inflammatory disease with prevalence in children with twice the rate compared to adults. It can be improved by continuously monitoring… (more)

Subjects/Keywords: Computer Science; Health; asthma; asthma management; sensor data streams; Internet of Things; IoT

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

APA (6th Edition):

Sridharan, V. (2018). Sensor Data Streams Correlation Platform for Asthma Management. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1527546937956439

Chicago Manual of Style (16th Edition):

Sridharan, Vaikunth. “Sensor Data Streams Correlation Platform for Asthma Management.” 2018. Masters Thesis, Wright State University. Accessed January 22, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1527546937956439.

MLA Handbook (7th Edition):

Sridharan, Vaikunth. “Sensor Data Streams Correlation Platform for Asthma Management.” 2018. Web. 22 Jan 2020.

Vancouver:

Sridharan V. Sensor Data Streams Correlation Platform for Asthma Management. [Internet] [Masters thesis]. Wright State University; 2018. [cited 2020 Jan 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1527546937956439.

Council of Science Editors:

Sridharan V. Sensor Data Streams Correlation Platform for Asthma Management. [Masters Thesis]. Wright State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1527546937956439


University of California – Irvine

23. Jalali, Laleh. Interactive Event-driven Knowledge Discovery from Data Streams.

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

 With the proliferation of sensor data, a critical challenge is to interpret and extract knowledge from large-scale heterogeneous observational data. Most knowledge discovery frameworks relay… (more)

Subjects/Keywords: Computer science; Computer engineering; Information science; Knowledge Discovery; Model Building; Multimodal Data Streams

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

APA (6th Edition):

Jalali, L. (2016). Interactive Event-driven Knowledge Discovery from Data Streams. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/8bc5k0j3

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):

Jalali, Laleh. “Interactive Event-driven Knowledge Discovery from Data Streams.” 2016. Thesis, University of California – Irvine. Accessed January 22, 2020. http://www.escholarship.org/uc/item/8bc5k0j3.

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

MLA Handbook (7th Edition):

Jalali, Laleh. “Interactive Event-driven Knowledge Discovery from Data Streams.” 2016. Web. 22 Jan 2020.

Vancouver:

Jalali L. Interactive Event-driven Knowledge Discovery from Data Streams. [Internet] [Thesis]. University of California – Irvine; 2016. [cited 2020 Jan 22]. Available from: http://www.escholarship.org/uc/item/8bc5k0j3.

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

Council of Science Editors:

Jalali L. Interactive Event-driven Knowledge Discovery from Data Streams. [Thesis]. University of California – Irvine; 2016. Available from: http://www.escholarship.org/uc/item/8bc5k0j3

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


Universidade do Rio Grande do Sul

24. Diaz, Jorge Cristhian Chamby. An incremental gaussian mixture network for data stream classification in non-stationary environments.

Degree: 2018, Universidade do Rio Grande do Sul

Data stream classification poses many challenges for the data mining community when the environment is non-stationary. The greatest challenge in learning classifiers from data stream… (more)

Subjects/Keywords: Incremental learning; Banco : Dados; Gaussian mixture models; Algoritmos; Concept drift; Data streams classification

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

APA (6th Edition):

Diaz, J. C. C. (2018). An incremental gaussian mixture network for data stream classification in non-stationary environments. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/174484

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):

Diaz, Jorge Cristhian Chamby. “An incremental gaussian mixture network for data stream classification in non-stationary environments.” 2018. Thesis, Universidade do Rio Grande do Sul. Accessed January 22, 2020. http://hdl.handle.net/10183/174484.

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

MLA Handbook (7th Edition):

Diaz, Jorge Cristhian Chamby. “An incremental gaussian mixture network for data stream classification in non-stationary environments.” 2018. Web. 22 Jan 2020.

Vancouver:

Diaz JCC. An incremental gaussian mixture network for data stream classification in non-stationary environments. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2018. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10183/174484.

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

Council of Science Editors:

Diaz JCC. An incremental gaussian mixture network for data stream classification in non-stationary environments. [Thesis]. Universidade do Rio Grande do Sul; 2018. Available from: http://hdl.handle.net/10183/174484

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


University of Technology, Sydney

25. Liu, Anjin. Concept drift adaptation for learning with streaming data.

Degree: 2018, University of Technology, Sydney

 The term concept drift refers to the change of distribution underlying the data. It is an inherent property of evolving data streams. Concept drift detection… (more)

Subjects/Keywords: Modern machine learning.; Mining concept-drifting data streams.; Concept drift problems.; Concept drift deep learning.

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

APA (6th Edition):

Liu, A. (2018). Concept drift adaptation for learning with streaming data. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/125627

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):

Liu, Anjin. “Concept drift adaptation for learning with streaming data.” 2018. Thesis, University of Technology, Sydney. Accessed January 22, 2020. http://hdl.handle.net/10453/125627.

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

MLA Handbook (7th Edition):

Liu, Anjin. “Concept drift adaptation for learning with streaming data.” 2018. Web. 22 Jan 2020.

Vancouver:

Liu A. Concept drift adaptation for learning with streaming data. [Internet] [Thesis]. University of Technology, Sydney; 2018. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10453/125627.

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

Council of Science Editors:

Liu A. Concept drift adaptation for learning with streaming data. [Thesis]. University of Technology, Sydney; 2018. Available from: http://hdl.handle.net/10453/125627

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


University of Adelaide

26. Wickramasinghe, Wickramasinghe Mudiyanselage Asanga Sampath Bandara. Ambulatory Monitoring Using Passive RFID Technology.

Degree: 2017, University of Adelaide

 Human activity recognition using wearable sensors is a growing field of study in pervasive computing that forms the basis for ubiquitous applications in areas like… (more)

Subjects/Keywords: Activity recognition; sparse data streams; machine learning; passive sensor enabled RFID; older people

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

APA (6th Edition):

Wickramasinghe, W. M. A. S. B. (2017). Ambulatory Monitoring Using Passive RFID Technology. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/119325

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):

Wickramasinghe, Wickramasinghe Mudiyanselage Asanga Sampath Bandara. “Ambulatory Monitoring Using Passive RFID Technology.” 2017. Thesis, University of Adelaide. Accessed January 22, 2020. http://hdl.handle.net/2440/119325.

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

MLA Handbook (7th Edition):

Wickramasinghe, Wickramasinghe Mudiyanselage Asanga Sampath Bandara. “Ambulatory Monitoring Using Passive RFID Technology.” 2017. Web. 22 Jan 2020.

Vancouver:

Wickramasinghe WMASB. Ambulatory Monitoring Using Passive RFID Technology. [Internet] [Thesis]. University of Adelaide; 2017. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/2440/119325.

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

Council of Science Editors:

Wickramasinghe WMASB. Ambulatory Monitoring Using Passive RFID Technology. [Thesis]. University of Adelaide; 2017. Available from: http://hdl.handle.net/2440/119325

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


University of New South Wales

27. Pratama, Mahardhika. Development of a Novel Evolving Neuro-Fuzzy System for Learning in Non-Stationary Environments.

Degree: Engineering & Information Technology Canberra, 2014, University of New South Wales

 In this research, evolving neuro-fuzzy systems, emphasizing a low computational power, high predictive accuracy and transparent working framework, are proposed. The proposed evolving neuro-fuzzy system… (more)

Subjects/Keywords: meta-cognitive learning; evolving fuzzy systems; fuzzy neural networks; sequential learning; data streams

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

APA (6th Edition):

Pratama, M. (2014). Development of a Novel Evolving Neuro-Fuzzy System for Learning in Non-Stationary Environments. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53977 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12688/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Pratama, Mahardhika. “Development of a Novel Evolving Neuro-Fuzzy System for Learning in Non-Stationary Environments.” 2014. Doctoral Dissertation, University of New South Wales. Accessed January 22, 2020. http://handle.unsw.edu.au/1959.4/53977 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12688/SOURCE02?view=true.

MLA Handbook (7th Edition):

Pratama, Mahardhika. “Development of a Novel Evolving Neuro-Fuzzy System for Learning in Non-Stationary Environments.” 2014. Web. 22 Jan 2020.

Vancouver:

Pratama M. Development of a Novel Evolving Neuro-Fuzzy System for Learning in Non-Stationary Environments. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2020 Jan 22]. Available from: http://handle.unsw.edu.au/1959.4/53977 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12688/SOURCE02?view=true.

Council of Science Editors:

Pratama M. Development of a Novel Evolving Neuro-Fuzzy System for Learning in Non-Stationary Environments. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/53977 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12688/SOURCE02?view=true


University of Waterloo

28. Chakraborty, Abhirup. Processing Exact Results for Queries over Data Streams.

Degree: 2010, University of Waterloo

 In a growing number of information-processing applications, such as network-traffic monitoring, sensor networks, financial analysis, data mining for e-commerce, etc., data takes the form of… (more)

Subjects/Keywords: Data Streams; query processing; join processing; Shared Nothing Cluster; Sliding windows; adaptive parallelism

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

APA (6th Edition):

Chakraborty, A. (2010). Processing Exact Results for Queries over Data Streams. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5048

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):

Chakraborty, Abhirup. “Processing Exact Results for Queries over Data Streams.” 2010. Thesis, University of Waterloo. Accessed January 22, 2020. http://hdl.handle.net/10012/5048.

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

MLA Handbook (7th Edition):

Chakraborty, Abhirup. “Processing Exact Results for Queries over Data Streams.” 2010. Web. 22 Jan 2020.

Vancouver:

Chakraborty A. Processing Exact Results for Queries over Data Streams. [Internet] [Thesis]. University of Waterloo; 2010. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10012/5048.

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

Council of Science Editors:

Chakraborty A. Processing Exact Results for Queries over Data Streams. [Thesis]. University of Waterloo; 2010. Available from: http://hdl.handle.net/10012/5048

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


Iowa State University

29. Chung, Yung-Yu. Distinct random sampling from a distributed stream.

Degree: 2013, Iowa State University

 We consider continuous maintenance of a random sample of distinct elements from a massive data stream, whose input elements are observed at multiple distributed sites… (more)

Subjects/Keywords: Data Stream Mining; Distinct Sampling; Distributed Streams; Sliding Window; Computer Engineering; Engineering

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

APA (6th Edition):

Chung, Y. (2013). Distinct random sampling from a distributed stream. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/13863

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):

Chung, Yung-Yu. “Distinct random sampling from a distributed stream.” 2013. Thesis, Iowa State University. Accessed January 22, 2020. https://lib.dr.iastate.edu/etd/13863.

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

MLA Handbook (7th Edition):

Chung, Yung-Yu. “Distinct random sampling from a distributed stream.” 2013. Web. 22 Jan 2020.

Vancouver:

Chung Y. Distinct random sampling from a distributed stream. [Internet] [Thesis]. Iowa State University; 2013. [cited 2020 Jan 22]. Available from: https://lib.dr.iastate.edu/etd/13863.

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

Council of Science Editors:

Chung Y. Distinct random sampling from a distributed stream. [Thesis]. Iowa State University; 2013. Available from: https://lib.dr.iastate.edu/etd/13863

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

30. GUERIN, DAVID. Computational Shedding in Stream Computing.

Degree: School of Computer Science & Statistics. Discipline of Computer Science, 2019, Trinity College Dublin

 Stream Computing, a generic on-line data processing paradigm has emerged as the preferred approach in the processing of continuous data streams. Data streams suffer from… (more)

Subjects/Keywords: Stream Computing; Computational Shedding; Load Shedding; Data Stream Processing; Stream Computing Framework; Bursty Data Streams; Approximate Result

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

APA (6th Edition):

GUERIN, D. (2019). Computational Shedding in Stream Computing. (Thesis). Trinity College Dublin. Retrieved from http://hdl.handle.net/2262/89513

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):

GUERIN, DAVID. “Computational Shedding in Stream Computing.” 2019. Thesis, Trinity College Dublin. Accessed January 22, 2020. http://hdl.handle.net/2262/89513.

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

MLA Handbook (7th Edition):

GUERIN, DAVID. “Computational Shedding in Stream Computing.” 2019. Web. 22 Jan 2020.

Vancouver:

GUERIN D. Computational Shedding in Stream Computing. [Internet] [Thesis]. Trinity College Dublin; 2019. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/2262/89513.

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

Council of Science Editors:

GUERIN D. Computational Shedding in Stream Computing. [Thesis]. Trinity College Dublin; 2019. Available from: http://hdl.handle.net/2262/89513

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

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