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You searched for subject:(k Nearest Neighbor). Showing records 1 – 30 of 102 total matches.

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University of Cincinnati

1. Gupta, Nidhi. Mutual k Nearest Neighbor based Classifier.

Degree: MS, Engineering and Applied Science: Computer Science, 2010, University of Cincinnati

 In this information intensive world, data is used to make statistical decisions for business, scientific, and industrial situations. With decreasing cost of computing power and… (more)

Subjects/Keywords: Artificial Intelligence; K Nearest Neighbor; Mutual k Nearest Neighbor; Classifier; Classification algorithm; Reverse Nearest Neighbor

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

APA (6th Edition):

Gupta, N. (2010). Mutual k Nearest Neighbor based Classifier. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1289937369

Chicago Manual of Style (16th Edition):

Gupta, Nidhi. “Mutual k Nearest Neighbor based Classifier.” 2010. Masters Thesis, University of Cincinnati. Accessed September 27, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1289937369.

MLA Handbook (7th Edition):

Gupta, Nidhi. “Mutual k Nearest Neighbor based Classifier.” 2010. Web. 27 Sep 2020.

Vancouver:

Gupta N. Mutual k Nearest Neighbor based Classifier. [Internet] [Masters thesis]. University of Cincinnati; 2010. [cited 2020 Sep 27]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1289937369.

Council of Science Editors:

Gupta N. Mutual k Nearest Neighbor based Classifier. [Masters Thesis]. University of Cincinnati; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1289937369

2. Jorge Aikes Junior. Estudo da influÃncia de diversas medidas de similaridade na previsÃo de sÃries temporais utilizando o algoritmo KNN-TSP.

Degree: 2012, Universidade Estadual do Oeste do Parana

SÃries temporais podem ser entendidas como qualquer conjunto de observaÃÃes que se encontram ordenadas no tempo. Dentre as vÃrias tarefas possÃveis com dados temporais, uma… (more)

Subjects/Keywords: SISTEMAS DINAMICOS; sÃries temporais; previsÃo; k-Nearest Neighbor - Time Series Prediction; time series; forecasting; k-Nearest Neighbor - Time Series Prediction, k-Nearest Neighbor; k-Nearest Neighbor

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APA (6th Edition):

Junior, J. A. (2012). Estudo da influÃncia de diversas medidas de similaridade na previsÃo de sÃries temporais utilizando o algoritmo KNN-TSP. (Thesis). Universidade Estadual do Oeste do Parana. Retrieved from http://tede.unioeste.br/tede//tde_busca/arquivo.php?codArquivo=909

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):

Junior, Jorge Aikes. “Estudo da influÃncia de diversas medidas de similaridade na previsÃo de sÃries temporais utilizando o algoritmo KNN-TSP.” 2012. Thesis, Universidade Estadual do Oeste do Parana. Accessed September 27, 2020. http://tede.unioeste.br/tede//tde_busca/arquivo.php?codArquivo=909.

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

MLA Handbook (7th Edition):

Junior, Jorge Aikes. “Estudo da influÃncia de diversas medidas de similaridade na previsÃo de sÃries temporais utilizando o algoritmo KNN-TSP.” 2012. Web. 27 Sep 2020.

Vancouver:

Junior JA. Estudo da influÃncia de diversas medidas de similaridade na previsÃo de sÃries temporais utilizando o algoritmo KNN-TSP. [Internet] [Thesis]. Universidade Estadual do Oeste do Parana; 2012. [cited 2020 Sep 27]. Available from: http://tede.unioeste.br/tede//tde_busca/arquivo.php?codArquivo=909.

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

Council of Science Editors:

Junior JA. Estudo da influÃncia de diversas medidas de similaridade na previsÃo de sÃries temporais utilizando o algoritmo KNN-TSP. [Thesis]. Universidade Estadual do Oeste do Parana; 2012. Available from: http://tede.unioeste.br/tede//tde_busca/arquivo.php?codArquivo=909

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


Tampere University

3. Syed, Muhammad Ejazuddin. Attribute weighting in k-nearest neighbor classification .

Degree: 2014, Tampere University

 Data mining is the process of getting useful information by analyzing different kind of data. Predictive data mining is used to predict some property of… (more)

Subjects/Keywords: K-nearest Neighbor classification; attribute weighting

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APA (6th Edition):

Syed, M. E. (2014). Attribute weighting in k-nearest neighbor classification . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/96376

Chicago Manual of Style (16th Edition):

Syed, Muhammad Ejazuddin. “Attribute weighting in k-nearest neighbor classification .” 2014. Masters Thesis, Tampere University. Accessed September 27, 2020. https://trepo.tuni.fi/handle/10024/96376.

MLA Handbook (7th Edition):

Syed, Muhammad Ejazuddin. “Attribute weighting in k-nearest neighbor classification .” 2014. Web. 27 Sep 2020.

Vancouver:

Syed ME. Attribute weighting in k-nearest neighbor classification . [Internet] [Masters thesis]. Tampere University; 2014. [cited 2020 Sep 27]. Available from: https://trepo.tuni.fi/handle/10024/96376.

Council of Science Editors:

Syed ME. Attribute weighting in k-nearest neighbor classification . [Masters Thesis]. Tampere University; 2014. Available from: https://trepo.tuni.fi/handle/10024/96376


University of Cincinnati

4. Dixit, Siddharth. Density Based Clustering using Mutual K-Nearest Neighbors.

Degree: MS, Engineering and Applied Science: Computer Science, 2015, University of Cincinnati

 Density-based clustering is an important problem of research for data scientists and has been investigated with interest in the past. Due to data proliferation, datasets… (more)

Subjects/Keywords: Computer Science; Density based clustering; K-nearest neighbor; Mutual K-nearest neighbor; Clustering

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

APA (6th Edition):

Dixit, S. (2015). Density Based Clustering using Mutual K-Nearest Neighbors. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447690719

Chicago Manual of Style (16th Edition):

Dixit, Siddharth. “Density Based Clustering using Mutual K-Nearest Neighbors.” 2015. Masters Thesis, University of Cincinnati. Accessed September 27, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447690719.

MLA Handbook (7th Edition):

Dixit, Siddharth. “Density Based Clustering using Mutual K-Nearest Neighbors.” 2015. Web. 27 Sep 2020.

Vancouver:

Dixit S. Density Based Clustering using Mutual K-Nearest Neighbors. [Internet] [Masters thesis]. University of Cincinnati; 2015. [cited 2020 Sep 27]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447690719.

Council of Science Editors:

Dixit S. Density Based Clustering using Mutual K-Nearest Neighbors. [Masters Thesis]. University of Cincinnati; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447690719


University of New South Wales

5. Wang, Shenlu. Reverse Thinking in Spatial Queries.

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

 In recent years, an increasing number of researches are conducted on spatial queries regarding the influence of query objects. Among these queries, reverse k nearest(more)

Subjects/Keywords: reverse k nearest neighbor; spatial query; spatial influence; reverse k furthest neighbor; reverse top-k

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APA (6th Edition):

Wang, S. (2018). Reverse Thinking in Spatial Queries. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60218 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51094/SOURCE2?view=true

Chicago Manual of Style (16th Edition):

Wang, Shenlu. “Reverse Thinking in Spatial Queries.” 2018. Doctoral Dissertation, University of New South Wales. Accessed September 27, 2020. http://handle.unsw.edu.au/1959.4/60218 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51094/SOURCE2?view=true.

MLA Handbook (7th Edition):

Wang, Shenlu. “Reverse Thinking in Spatial Queries.” 2018. Web. 27 Sep 2020.

Vancouver:

Wang S. Reverse Thinking in Spatial Queries. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2020 Sep 27]. Available from: http://handle.unsw.edu.au/1959.4/60218 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51094/SOURCE2?view=true.

Council of Science Editors:

Wang S. Reverse Thinking in Spatial Queries. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/60218 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51094/SOURCE2?view=true


University of Akron

6. Kharsikar, Saket. A GENE ONTOLOGY BASED COMPUTATIONAL APPROACH FOR THE PREDICTION OF PROTEIN FUNCTIONS.

Degree: MSin Engineering, Biomedical Engineering, 2007, University of Akron

 Numerous genome projects have produced a large and ever increasing amount of genomic sequence data. However, the biological functions of many proteins encoded by the… (more)

Subjects/Keywords: PROTEIN; GENE; KNN; Clustering; k-nearest neighbor method; PROTEIN FUNCTIONS; k-nearest

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APA (6th Edition):

Kharsikar, S. (2007). A GENE ONTOLOGY BASED COMPUTATIONAL APPROACH FOR THE PREDICTION OF PROTEIN FUNCTIONS. (Masters Thesis). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1187026388

Chicago Manual of Style (16th Edition):

Kharsikar, Saket. “A GENE ONTOLOGY BASED COMPUTATIONAL APPROACH FOR THE PREDICTION OF PROTEIN FUNCTIONS.” 2007. Masters Thesis, University of Akron. Accessed September 27, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=akron1187026388.

MLA Handbook (7th Edition):

Kharsikar, Saket. “A GENE ONTOLOGY BASED COMPUTATIONAL APPROACH FOR THE PREDICTION OF PROTEIN FUNCTIONS.” 2007. Web. 27 Sep 2020.

Vancouver:

Kharsikar S. A GENE ONTOLOGY BASED COMPUTATIONAL APPROACH FOR THE PREDICTION OF PROTEIN FUNCTIONS. [Internet] [Masters thesis]. University of Akron; 2007. [cited 2020 Sep 27]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1187026388.

Council of Science Editors:

Kharsikar S. A GENE ONTOLOGY BASED COMPUTATIONAL APPROACH FOR THE PREDICTION OF PROTEIN FUNCTIONS. [Masters Thesis]. University of Akron; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1187026388


University of Houston

7. Man, Xiaoxi 1984-. DESIGN AND IMPLEMENTATION OF A CO-LOCATION ANALYSIS TOOL.

Degree: MS, Computer Science, 2014, University of Houston

 In recent years the widespread usage of scanning device, such as GPS-enabled devices, PDAs, and video cameras, has resulted in an abundance of spatial data.… (more)

Subjects/Keywords: Co-location; Ripley's k-function; K-nearest neighbor distance

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

APA (6th Edition):

Man, X. 1. (2014). DESIGN AND IMPLEMENTATION OF A CO-LOCATION ANALYSIS TOOL. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1613

Chicago Manual of Style (16th Edition):

Man, Xiaoxi 1984-. “DESIGN AND IMPLEMENTATION OF A CO-LOCATION ANALYSIS TOOL.” 2014. Masters Thesis, University of Houston. Accessed September 27, 2020. http://hdl.handle.net/10657/1613.

MLA Handbook (7th Edition):

Man, Xiaoxi 1984-. “DESIGN AND IMPLEMENTATION OF A CO-LOCATION ANALYSIS TOOL.” 2014. Web. 27 Sep 2020.

Vancouver:

Man X1. DESIGN AND IMPLEMENTATION OF A CO-LOCATION ANALYSIS TOOL. [Internet] [Masters thesis]. University of Houston; 2014. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10657/1613.

Council of Science Editors:

Man X1. DESIGN AND IMPLEMENTATION OF A CO-LOCATION ANALYSIS TOOL. [Masters Thesis]. University of Houston; 2014. Available from: http://hdl.handle.net/10657/1613


NSYSU

8. Ma, Chuan-yuan. Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation.

Degree: Master, Information Management, 2014, NSYSU

 It becomes a more and more popular approach to develop recommendation systems based on trust relationships on the social networks. While social information that explicitly… (more)

Subjects/Keywords: K-Nearest Neighbor; Trust Transitivity; Distrust; Matrix Factorization; In-Degree

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APA (6th Edition):

Ma, C. (2014). Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-113648

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):

Ma, Chuan-yuan. “Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation.” 2014. Thesis, NSYSU. Accessed September 27, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-113648.

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

MLA Handbook (7th Edition):

Ma, Chuan-yuan. “Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation.” 2014. Web. 27 Sep 2020.

Vancouver:

Ma C. Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation. [Internet] [Thesis]. NSYSU; 2014. [cited 2020 Sep 27]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-113648.

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

Council of Science Editors:

Ma C. Combining Co-Ratings and Trust Relationships on Social Networks for Collaborative Recommendation. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-113648

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


NSYSU

9. Tsai, Ming-Chun. Big Semiconductor Manufacturing Data Analysis Using Cloud Technique.

Degree: Master, Computer Science and Engineering, 2013, NSYSU

 In the semiconductor manufacturing industry, one of the key factors to improve the wafer quality is to analyze the existing logs and find out the… (more)

Subjects/Keywords: MapReduce; K nearest neighbor; Genetic algorithm; Data Mining; Cloud computing

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APA (6th Edition):

Tsai, M. (2013). Big Semiconductor Manufacturing Data Analysis Using Cloud Technique. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0712113-123309

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):

Tsai, Ming-Chun. “Big Semiconductor Manufacturing Data Analysis Using Cloud Technique.” 2013. Thesis, NSYSU. Accessed September 27, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0712113-123309.

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

MLA Handbook (7th Edition):

Tsai, Ming-Chun. “Big Semiconductor Manufacturing Data Analysis Using Cloud Technique.” 2013. Web. 27 Sep 2020.

Vancouver:

Tsai M. Big Semiconductor Manufacturing Data Analysis Using Cloud Technique. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Sep 27]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0712113-123309.

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

Council of Science Editors:

Tsai M. Big Semiconductor Manufacturing Data Analysis Using Cloud Technique. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0712113-123309

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

10. Warashina, Tomohiro. Efficient K-Nearest Neighbor Graph Construction Using MapReduce for Large-Scale Data Sets : MapReduceを用いた大規模K近傍グラフ構築法; MapReduce オ モチイタ ダイキボ K キンボウ グラフ コウチクホウ.

Degree: Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

Subjects/Keywords: K-nearest neighbor graph

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APA (6th Edition):

Warashina, T. (n.d.). Efficient K-Nearest Neighbor Graph Construction Using MapReduce for Large-Scale Data Sets : MapReduceを用いた大規模K近傍グラフ構築法; MapReduce オ モチイタ ダイキボ K キンボウ グラフ コウチクホウ. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/9460

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):

Warashina, Tomohiro. “Efficient K-Nearest Neighbor Graph Construction Using MapReduce for Large-Scale Data Sets : MapReduceを用いた大規模K近傍グラフ構築法; MapReduce オ モチイタ ダイキボ K キンボウ グラフ コウチクホウ.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed September 27, 2020. http://hdl.handle.net/10061/9460.

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):

Warashina, Tomohiro. “Efficient K-Nearest Neighbor Graph Construction Using MapReduce for Large-Scale Data Sets : MapReduceを用いた大規模K近傍グラフ構築法; MapReduce オ モチイタ ダイキボ K キンボウ グラフ コウチクホウ.” Web. 27 Sep 2020.

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

Vancouver:

Warashina T. Efficient K-Nearest Neighbor Graph Construction Using MapReduce for Large-Scale Data Sets : MapReduceを用いた大規模K近傍グラフ構築法; MapReduce オ モチイタ ダイキボ K キンボウ グラフ コウチクホウ. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10061/9460.

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:

Warashina T. Efficient K-Nearest Neighbor Graph Construction Using MapReduce for Large-Scale Data Sets : MapReduceを用いた大規模K近傍グラフ構築法; MapReduce オ モチイタ ダイキボ K キンボウ グラフ コウチクホウ. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; Available from: http://hdl.handle.net/10061/9460

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


Universidade do Rio Grande do Norte

11. Torres, Winnie de Lima. Detecção de desvios vocais utilizando modelos auto regressivos e o algoritmo KNN .

Degree: 2018, Universidade do Rio Grande do Norte

 Some fields in Science propose to study vocal tract disorders from an analysis about voice vibration patterns. Generally, the weight of those researches is given… (more)

Subjects/Keywords: Detecção de desvios vocais; Modelos auto regressivos; k-nearest neighbor

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APA (6th Edition):

Torres, W. d. L. (2018). Detecção de desvios vocais utilizando modelos auto regressivos e o algoritmo KNN . (Masters Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/25105

Chicago Manual of Style (16th Edition):

Torres, Winnie de Lima. “Detecção de desvios vocais utilizando modelos auto regressivos e o algoritmo KNN .” 2018. Masters Thesis, Universidade do Rio Grande do Norte. Accessed September 27, 2020. http://repositorio.ufrn.br/handle/123456789/25105.

MLA Handbook (7th Edition):

Torres, Winnie de Lima. “Detecção de desvios vocais utilizando modelos auto regressivos e o algoritmo KNN .” 2018. Web. 27 Sep 2020.

Vancouver:

Torres WdL. Detecção de desvios vocais utilizando modelos auto regressivos e o algoritmo KNN . [Internet] [Masters thesis]. Universidade do Rio Grande do Norte; 2018. [cited 2020 Sep 27]. Available from: http://repositorio.ufrn.br/handle/123456789/25105.

Council of Science Editors:

Torres WdL. Detecção de desvios vocais utilizando modelos auto regressivos e o algoritmo KNN . [Masters Thesis]. Universidade do Rio Grande do Norte; 2018. Available from: http://repositorio.ufrn.br/handle/123456789/25105


Rochester Institute of Technology

12. Matus Nicodemos, Marcelo. Information-Based Neighborhood Modeling.

Degree: MS, Information Sciences and Technologies (GCCIS), 2017, Rochester Institute of Technology

  Since the inception of the World Wide Web, the amount of data present on websites and internet infrastructure has grown exponentially that researchers continuously… (more)

Subjects/Keywords: Collaborative filtering; Data; DIKW hierarchy; Information; k-Nearest neighbor; Recommender systems

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APA (6th Edition):

Matus Nicodemos, M. (2017). Information-Based Neighborhood Modeling. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9461

Chicago Manual of Style (16th Edition):

Matus Nicodemos, Marcelo. “Information-Based Neighborhood Modeling.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed September 27, 2020. https://scholarworks.rit.edu/theses/9461.

MLA Handbook (7th Edition):

Matus Nicodemos, Marcelo. “Information-Based Neighborhood Modeling.” 2017. Web. 27 Sep 2020.

Vancouver:

Matus Nicodemos M. Information-Based Neighborhood Modeling. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2020 Sep 27]. Available from: https://scholarworks.rit.edu/theses/9461.

Council of Science Editors:

Matus Nicodemos M. Information-Based Neighborhood Modeling. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9461


University of Georgia

13. Rouan, Jennifer Dawn. GPU acceleration of k-nearest neighbor search in face classifier based on Eigenfaces.

Degree: 2014, University of Georgia

 Face recognition is a specialized case of object recognition, and has broad applications in security, surveillance, identity management, law enforcement, human-computer interaction, and automatic photo… (more)

Subjects/Keywords: Face recognition; Eigenfaces; k-nearest neighbor search; General-purpose GPU programming

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APA (6th Edition):

Rouan, J. D. (2014). GPU acceleration of k-nearest neighbor search in face classifier based on Eigenfaces. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/30614

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):

Rouan, Jennifer Dawn. “GPU acceleration of k-nearest neighbor search in face classifier based on Eigenfaces.” 2014. Thesis, University of Georgia. Accessed September 27, 2020. http://hdl.handle.net/10724/30614.

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

MLA Handbook (7th Edition):

Rouan, Jennifer Dawn. “GPU acceleration of k-nearest neighbor search in face classifier based on Eigenfaces.” 2014. Web. 27 Sep 2020.

Vancouver:

Rouan JD. GPU acceleration of k-nearest neighbor search in face classifier based on Eigenfaces. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10724/30614.

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

Council of Science Editors:

Rouan JD. GPU acceleration of k-nearest neighbor search in face classifier based on Eigenfaces. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/30614

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

14. Vagner Alex Pesck. Classificação orientada ao objeto de imagem Quickbird-2 para a identificação da Araucária.

Degree: 2011, UNICENTRO – Universidade Estadual do Centro Oeste

O objetivo do presente estudo foi mapear as copas de Araucaria angustifolia em uma imagem Quickbird-2 através da classificação orientada ao objeto. A área de… (more)

Subjects/Keywords: Floresta Ombrófila Mista; Fusão de Imagens; algoritmo K Nearest Neighbor; lógica fuzzy; Araucaria Forest; Fusion Imaging; K Nearest Neighbor algorithm; logic fuzzy; FLORESTAMENTO E REFLORESTAMENTO

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

APA (6th Edition):

Pesck, V. A. (2011). Classificação orientada ao objeto de imagem Quickbird-2 para a identificação da Araucária. (Thesis). UNICENTRO – Universidade Estadual do Centro Oeste. Retrieved from http://tede.unicentro.br/tde_busca/arquivo.php?codArquivo=127

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):

Pesck, Vagner Alex. “Classificação orientada ao objeto de imagem Quickbird-2 para a identificação da Araucária.” 2011. Thesis, UNICENTRO – Universidade Estadual do Centro Oeste. Accessed September 27, 2020. http://tede.unicentro.br/tde_busca/arquivo.php?codArquivo=127.

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

MLA Handbook (7th Edition):

Pesck, Vagner Alex. “Classificação orientada ao objeto de imagem Quickbird-2 para a identificação da Araucária.” 2011. Web. 27 Sep 2020.

Vancouver:

Pesck VA. Classificação orientada ao objeto de imagem Quickbird-2 para a identificação da Araucária. [Internet] [Thesis]. UNICENTRO – Universidade Estadual do Centro Oeste; 2011. [cited 2020 Sep 27]. Available from: http://tede.unicentro.br/tde_busca/arquivo.php?codArquivo=127.

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

Council of Science Editors:

Pesck VA. Classificação orientada ao objeto de imagem Quickbird-2 para a identificação da Araucária. [Thesis]. UNICENTRO – Universidade Estadual do Centro Oeste; 2011. Available from: http://tede.unicentro.br/tde_busca/arquivo.php?codArquivo=127

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


University of Georgia

15. Meares, Jeremy Michael. Evaluation of new technologies for estimating age of white-tailed deer by tooth characteristics.

Degree: 2014, University of Georgia

 Despite considerable previous research, there remains a need for an objective, reliable method for estimating age of harvested white-tailed deer (Odocoileus virginianus). Using digital photographs… (more)

Subjects/Keywords: Age; GIS; K nearest neighbor; Near-infrared spectroscopy; Odocoileus virginianus; White-tailed Deer

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

APA (6th Edition):

Meares, J. M. (2014). Evaluation of new technologies for estimating age of white-tailed deer by tooth characteristics. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/22966

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):

Meares, Jeremy Michael. “Evaluation of new technologies for estimating age of white-tailed deer by tooth characteristics.” 2014. Thesis, University of Georgia. Accessed September 27, 2020. http://hdl.handle.net/10724/22966.

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

MLA Handbook (7th Edition):

Meares, Jeremy Michael. “Evaluation of new technologies for estimating age of white-tailed deer by tooth characteristics.” 2014. Web. 27 Sep 2020.

Vancouver:

Meares JM. Evaluation of new technologies for estimating age of white-tailed deer by tooth characteristics. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10724/22966.

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

Council of Science Editors:

Meares JM. Evaluation of new technologies for estimating age of white-tailed deer by tooth characteristics. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/22966

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


Penn State University

16. Ference, Gregory David. Location Recommendation for Mobile Users in Location-Based Social Networks.

Degree: 2013, Penn State University

 Location-based services have become popular in the twenty-first century due to technological advances, such as mobile and online social networking. One of its key features… (more)

Subjects/Keywords: Location Recommendation; Location-Based Social Networks; Collaborative Filtering; K-Nearest Diverse Neighbor; Spatial Diversity

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

APA (6th Edition):

Ference, G. D. (2013). Location Recommendation for Mobile Users in Location-Based Social Networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17382

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):

Ference, Gregory David. “Location Recommendation for Mobile Users in Location-Based Social Networks.” 2013. Thesis, Penn State University. Accessed September 27, 2020. https://submit-etda.libraries.psu.edu/catalog/17382.

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

MLA Handbook (7th Edition):

Ference, Gregory David. “Location Recommendation for Mobile Users in Location-Based Social Networks.” 2013. Web. 27 Sep 2020.

Vancouver:

Ference GD. Location Recommendation for Mobile Users in Location-Based Social Networks. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Sep 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/17382.

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

Council of Science Editors:

Ference GD. Location Recommendation for Mobile Users in Location-Based Social Networks. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/17382

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


NSYSU

17. Feng, Fei-Chung. A Hilbert Curve-Based Algorithm for Order-Sensitive Moving KNN Queries.

Degree: Master, Computer Science and Engineering, 2012, NSYSU

 ããDue to wireless communication technologies, positioning technologies, and mobile computing develop quickly, mobile services are becoming practical and important on big spatiotemporal databases management. Mobile… (more)

Subjects/Keywords: Spatial database; Real-Time Systems; Hilbert curve; K nearest neighbor; Mobile service

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

APA (6th Edition):

Feng, F. (2012). A Hilbert Curve-Based Algorithm for Order-Sensitive Moving KNN Queries. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711112-191009

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):

Feng, Fei-Chung. “A Hilbert Curve-Based Algorithm for Order-Sensitive Moving KNN Queries.” 2012. Thesis, NSYSU. Accessed September 27, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711112-191009.

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

MLA Handbook (7th Edition):

Feng, Fei-Chung. “A Hilbert Curve-Based Algorithm for Order-Sensitive Moving KNN Queries.” 2012. Web. 27 Sep 2020.

Vancouver:

Feng F. A Hilbert Curve-Based Algorithm for Order-Sensitive Moving KNN Queries. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Sep 27]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711112-191009.

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

Council of Science Editors:

Feng F. A Hilbert Curve-Based Algorithm for Order-Sensitive Moving KNN Queries. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711112-191009

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


Universidade Nova

18. Mestre, Ricardo Jorge Palheira. Improvements on the KNN classifier.

Degree: 2013, Universidade Nova

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

The object classification is an important area within the artificial intelligence and its application extends… (more)

Subjects/Keywords: Artificial intelligence; Classification algorithms; KNN; K-nearest neighbor algorithm; Lazy-learning; Eager-learning

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

APA (6th Edition):

Mestre, R. J. P. (2013). Improvements on the KNN classifier. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10923

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):

Mestre, Ricardo Jorge Palheira. “Improvements on the KNN classifier.” 2013. Thesis, Universidade Nova. Accessed September 27, 2020. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10923.

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

MLA Handbook (7th Edition):

Mestre, Ricardo Jorge Palheira. “Improvements on the KNN classifier.” 2013. Web. 27 Sep 2020.

Vancouver:

Mestre RJP. Improvements on the KNN classifier. [Internet] [Thesis]. Universidade Nova; 2013. [cited 2020 Sep 27]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10923.

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

Council of Science Editors:

Mestre RJP. Improvements on the KNN classifier. [Thesis]. Universidade Nova; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10923

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


UCLA

19. Chen, Zehui. Hamming Distance Computation in Unreliable Resistive Memory.

Degree: Electrical Engineering, 2018, UCLA

 Enabled by new storage mediums, Computation-in-Memory is a novel architecture thathas shown great potential in reducing the burden of massive data processing by bypassingthe communication… (more)

Subjects/Keywords: Electrical engineering; Computation in memory; k nearest neighbor; Machine learning; resistive memory

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

APA (6th Edition):

Chen, Z. (2018). Hamming Distance Computation in Unreliable Resistive Memory. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/1hb1566s

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):

Chen, Zehui. “Hamming Distance Computation in Unreliable Resistive Memory.” 2018. Thesis, UCLA. Accessed September 27, 2020. http://www.escholarship.org/uc/item/1hb1566s.

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

MLA Handbook (7th Edition):

Chen, Zehui. “Hamming Distance Computation in Unreliable Resistive Memory.” 2018. Web. 27 Sep 2020.

Vancouver:

Chen Z. Hamming Distance Computation in Unreliable Resistive Memory. [Internet] [Thesis]. UCLA; 2018. [cited 2020 Sep 27]. Available from: http://www.escholarship.org/uc/item/1hb1566s.

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

Council of Science Editors:

Chen Z. Hamming Distance Computation in Unreliable Resistive Memory. [Thesis]. UCLA; 2018. Available from: http://www.escholarship.org/uc/item/1hb1566s

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


University of Cincinnati

20. Agarwal, Akrita. Exploring the Noise Resilience of Combined Sturges Algorithm.

Degree: MS, Engineering and Applied Science: Computer Science, 2015, University of Cincinnati

 Over the years, various Classification algorithms have been developed.Two of the most popular Classification algorithms are - Naive Bayes and κnn. They are both unique… (more)

Subjects/Keywords: Computer Science; Noise Resilience; Machine Learning Algorithms; Combined Sturges; Naive Bayes; k nearest neighbor

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

APA (6th Edition):

Agarwal, A. (2015). Exploring the Noise Resilience of Combined Sturges Algorithm. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447070335

Chicago Manual of Style (16th Edition):

Agarwal, Akrita. “Exploring the Noise Resilience of Combined Sturges Algorithm.” 2015. Masters Thesis, University of Cincinnati. Accessed September 27, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447070335.

MLA Handbook (7th Edition):

Agarwal, Akrita. “Exploring the Noise Resilience of Combined Sturges Algorithm.” 2015. Web. 27 Sep 2020.

Vancouver:

Agarwal A. Exploring the Noise Resilience of Combined Sturges Algorithm. [Internet] [Masters thesis]. University of Cincinnati; 2015. [cited 2020 Sep 27]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447070335.

Council of Science Editors:

Agarwal A. Exploring the Noise Resilience of Combined Sturges Algorithm. [Masters Thesis]. University of Cincinnati; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447070335


Arizona State University

21. Yu, Renwei. Time Efficient and Quality Effective K Nearest Neighbor Search in High Dimension Space.

Degree: MS, Computer Science, 2011, Arizona State University

K-Nearest-Neighbors (KNN) search is a fundamental problem in many application domains such as database and data mining, information retrieval, machine learning, pattern recognition and plagiarism… (more)

Subjects/Keywords: Computer Science; high dimension; K nearest neighbor; large scale; locality sensitive hash

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

APA (6th Edition):

Yu, R. (2011). Time Efficient and Quality Effective K Nearest Neighbor Search in High Dimension Space. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/9178

Chicago Manual of Style (16th Edition):

Yu, Renwei. “Time Efficient and Quality Effective K Nearest Neighbor Search in High Dimension Space.” 2011. Masters Thesis, Arizona State University. Accessed September 27, 2020. http://repository.asu.edu/items/9178.

MLA Handbook (7th Edition):

Yu, Renwei. “Time Efficient and Quality Effective K Nearest Neighbor Search in High Dimension Space.” 2011. Web. 27 Sep 2020.

Vancouver:

Yu R. Time Efficient and Quality Effective K Nearest Neighbor Search in High Dimension Space. [Internet] [Masters thesis]. Arizona State University; 2011. [cited 2020 Sep 27]. Available from: http://repository.asu.edu/items/9178.

Council of Science Editors:

Yu R. Time Efficient and Quality Effective K Nearest Neighbor Search in High Dimension Space. [Masters Thesis]. Arizona State University; 2011. Available from: http://repository.asu.edu/items/9178

22. Trad, Riadh. Découverte d'évènements par contenu visuel dans les médias sociaux : Visual-based event mining in social media.

Degree: Docteur es, Informatique et réseaux, 2013, Paris, ENST

L’évolution du web, de ce qui était typiquement connu comme un moyen de communication à sens unique en mode conversationnel, a radicalement changé notre manière… (more)

Subjects/Keywords: Recherche information graphe; Graphe de K plus proches voisins; Information retrieval graph; K-nearest neighbor graph (k-NNG)

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

APA (6th Edition):

Trad, R. (2013). Découverte d'évènements par contenu visuel dans les médias sociaux : Visual-based event mining in social media. (Doctoral Dissertation). Paris, ENST. Retrieved from http://www.theses.fr/2013ENST0030

Chicago Manual of Style (16th Edition):

Trad, Riadh. “Découverte d'évènements par contenu visuel dans les médias sociaux : Visual-based event mining in social media.” 2013. Doctoral Dissertation, Paris, ENST. Accessed September 27, 2020. http://www.theses.fr/2013ENST0030.

MLA Handbook (7th Edition):

Trad, Riadh. “Découverte d'évènements par contenu visuel dans les médias sociaux : Visual-based event mining in social media.” 2013. Web. 27 Sep 2020.

Vancouver:

Trad R. Découverte d'évènements par contenu visuel dans les médias sociaux : Visual-based event mining in social media. [Internet] [Doctoral dissertation]. Paris, ENST; 2013. [cited 2020 Sep 27]. Available from: http://www.theses.fr/2013ENST0030.

Council of Science Editors:

Trad R. Découverte d'évènements par contenu visuel dans les médias sociaux : Visual-based event mining in social media. [Doctoral Dissertation]. Paris, ENST; 2013. Available from: http://www.theses.fr/2013ENST0030


University of New South Wales

23. Lin, Qianlu. Efficient Location Aware Spatial Query.

Degree: Computer Science & Engineering, 2013, University of New South Wales

 With the emergence of location-aware mobile device technologies, communication technologies and GPS systems, location-aware queries have attracted great attentions in many important applications such as… (more)

Subjects/Keywords: Location-aware mobile device technologies; GPS systems; K nearest neighbors (kNN); Reverse nearest neighbor (RNN); Spacial databases

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

APA (6th Edition):

Lin, Q. (2013). Efficient Location Aware Spatial Query. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52568 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11241/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Lin, Qianlu. “Efficient Location Aware Spatial Query.” 2013. Doctoral Dissertation, University of New South Wales. Accessed September 27, 2020. http://handle.unsw.edu.au/1959.4/52568 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11241/SOURCE01?view=true.

MLA Handbook (7th Edition):

Lin, Qianlu. “Efficient Location Aware Spatial Query.” 2013. Web. 27 Sep 2020.

Vancouver:

Lin Q. Efficient Location Aware Spatial Query. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2020 Sep 27]. Available from: http://handle.unsw.edu.au/1959.4/52568 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11241/SOURCE01?view=true.

Council of Science Editors:

Lin Q. Efficient Location Aware Spatial Query. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/52568 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11241/SOURCE01?view=true


Universidade Estadual de Campinas

24. Favaro, Martha Maria Andreotti, 1981-. Exploração de dados multivariados de fontes e extratos de antocianinas ultilizando análise de componentes princiaipais e método do vizinho mais proximo: Exploring multivariate data of sources and extracts of anthocyanins using principal components analysis and method of nearest neighbor.

Degree: 2012, Universidade Estadual de Campinas

 Abstract: Anthocyanins (ACYS) are natural dyes responsible for color in fruits, vegetables, flowers and grains. New perspectives for use of anthocyanins in various industries stimulate… (more)

Subjects/Keywords: Antocianinas; Quimiometria; Análise de componentes principais; Método K-vizinho mais próximo; Anthocyanins; Chemometrics; Principal componet analysis; K-nearest neighbor

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

APA (6th Edition):

Favaro, Martha Maria Andreotti, 1. (2012). Exploração de dados multivariados de fontes e extratos de antocianinas ultilizando análise de componentes princiaipais e método do vizinho mais proximo: Exploring multivariate data of sources and extracts of anthocyanins using principal components analysis and method of nearest neighbor. (Thesis). Universidade Estadual de Campinas. Retrieved from http://repositorio.unicamp.br/jspui/handle/REPOSIP/250159

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):

Favaro, Martha Maria Andreotti, 1981-. “Exploração de dados multivariados de fontes e extratos de antocianinas ultilizando análise de componentes princiaipais e método do vizinho mais proximo: Exploring multivariate data of sources and extracts of anthocyanins using principal components analysis and method of nearest neighbor.” 2012. Thesis, Universidade Estadual de Campinas. Accessed September 27, 2020. http://repositorio.unicamp.br/jspui/handle/REPOSIP/250159.

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

MLA Handbook (7th Edition):

Favaro, Martha Maria Andreotti, 1981-. “Exploração de dados multivariados de fontes e extratos de antocianinas ultilizando análise de componentes princiaipais e método do vizinho mais proximo: Exploring multivariate data of sources and extracts of anthocyanins using principal components analysis and method of nearest neighbor.” 2012. Web. 27 Sep 2020.

Vancouver:

Favaro, Martha Maria Andreotti 1. Exploração de dados multivariados de fontes e extratos de antocianinas ultilizando análise de componentes princiaipais e método do vizinho mais proximo: Exploring multivariate data of sources and extracts of anthocyanins using principal components analysis and method of nearest neighbor. [Internet] [Thesis]. Universidade Estadual de Campinas; 2012. [cited 2020 Sep 27]. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/250159.

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

Council of Science Editors:

Favaro, Martha Maria Andreotti 1. Exploração de dados multivariados de fontes e extratos de antocianinas ultilizando análise de componentes princiaipais e método do vizinho mais proximo: Exploring multivariate data of sources and extracts of anthocyanins using principal components analysis and method of nearest neighbor. [Thesis]. Universidade Estadual de Campinas; 2012. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/250159

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


Georgia State University

25. Boring, Michael. Classification of Genotype and Age by Spatial Aspects of RPE Cell Morphology.

Degree: MS, Mathematics and Statistics, 2014, Georgia State University

  Age related macular degeneration (AMD) is a public health concern in an aging society. The retinal pigment epithelium (RPE) layer of the eye is… (more)

Subjects/Keywords: Age related macular degeneration (AMD); Retinal pigment epithelium (RPE); K-nearest neighbor algorithm (k-NN); Classification; Principal component analysis (PCA)

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

APA (6th Edition):

Boring, M. (2014). Classification of Genotype and Age by Spatial Aspects of RPE Cell Morphology. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/138

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):

Boring, Michael. “Classification of Genotype and Age by Spatial Aspects of RPE Cell Morphology.” 2014. Thesis, Georgia State University. Accessed September 27, 2020. https://scholarworks.gsu.edu/math_theses/138.

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

MLA Handbook (7th Edition):

Boring, Michael. “Classification of Genotype and Age by Spatial Aspects of RPE Cell Morphology.” 2014. Web. 27 Sep 2020.

Vancouver:

Boring M. Classification of Genotype and Age by Spatial Aspects of RPE Cell Morphology. [Internet] [Thesis]. Georgia State University; 2014. [cited 2020 Sep 27]. Available from: https://scholarworks.gsu.edu/math_theses/138.

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

Council of Science Editors:

Boring M. Classification of Genotype and Age by Spatial Aspects of RPE Cell Morphology. [Thesis]. Georgia State University; 2014. Available from: https://scholarworks.gsu.edu/math_theses/138

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


Brno University of Technology

26. Horký, Vladimír. Rozpoznávání ručně psaných číslic metodou K-nearest neighbor: Handwritten Digit Recognition Using K-nearest Neighbor.

Degree: 2019, Brno University of Technology

This paper describes problems of handwritten digit recognition. Discuss about problems with solution of recognition by algorithm K-nearests neighbor. In second part there is described design and implementation of this method. Advisors/Committee Members: Plchot, Oldřich (advisor), Mikolov, Tomáš (referee).

Subjects/Keywords: OCR; ICR; Skeletonizace; Ztenčování; PCA; algoritmus K-nejbližších sousedů; K-NN; OCR; ICR; Skeletonization; Thinning; PCA; algorithm of K-nearest neighbor; K-NN

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

APA (6th Edition):

Horký, V. (2019). Rozpoznávání ručně psaných číslic metodou K-nearest neighbor: Handwritten Digit Recognition Using K-nearest Neighbor. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54695

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):

Horký, Vladimír. “Rozpoznávání ručně psaných číslic metodou K-nearest neighbor: Handwritten Digit Recognition Using K-nearest Neighbor.” 2019. Thesis, Brno University of Technology. Accessed September 27, 2020. http://hdl.handle.net/11012/54695.

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

MLA Handbook (7th Edition):

Horký, Vladimír. “Rozpoznávání ručně psaných číslic metodou K-nearest neighbor: Handwritten Digit Recognition Using K-nearest Neighbor.” 2019. Web. 27 Sep 2020.

Vancouver:

Horký V. Rozpoznávání ručně psaných číslic metodou K-nearest neighbor: Handwritten Digit Recognition Using K-nearest Neighbor. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/11012/54695.

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

Council of Science Editors:

Horký V. Rozpoznávání ručně psaných číslic metodou K-nearest neighbor: Handwritten Digit Recognition Using K-nearest Neighbor. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/54695

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


University of Georgia

27. Meng, Qingmin. Fine spatial resolution forest inventory for Georgia.

Degree: 2014, University of Georgia

 The main objective of forest inventory is to acquire and maintain accurate and up-to-date forest information. Updating forest inventory information also is an important aspect… (more)

Subjects/Keywords: Up-to-date forest inventory; Fine spatial resolution; Remote sensing; GIS; Geostatistics; Weighted K nearest neighbor method; Hardwood volume; Softwood volume.

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

APA (6th Edition):

Meng, Q. (2014). Fine spatial resolution forest inventory for Georgia. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/23687

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):

Meng, Qingmin. “Fine spatial resolution forest inventory for Georgia.” 2014. Thesis, University of Georgia. Accessed September 27, 2020. http://hdl.handle.net/10724/23687.

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

MLA Handbook (7th Edition):

Meng, Qingmin. “Fine spatial resolution forest inventory for Georgia.” 2014. Web. 27 Sep 2020.

Vancouver:

Meng Q. Fine spatial resolution forest inventory for Georgia. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10724/23687.

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

Council of Science Editors:

Meng Q. Fine spatial resolution forest inventory for Georgia. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/23687

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

28. Dissanayake, Hasith U. Predicting Student Retention: A Comparative Study of Predictive Models for Predicting Student Retention at St. Cloud State University.

Degree: Computer Science: M.S., Computer Science and Information Technology, 2016, St. Cloud State University

  Student graduation rates has always taken prominence in academic studies since it is considered a major factor to reflect the performance of any university.… (more)

Subjects/Keywords: Retention probabilities; predictive modeling; student retention; principal component analysis; Bayesian Networks; k-Nearest Neighbor; Random Forest;

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

APA (6th Edition):

Dissanayake, H. U. (2016). Predicting Student Retention: A Comparative Study of Predictive Models for Predicting Student Retention at St. Cloud State University. (Masters Thesis). St. Cloud State University. Retrieved from https://repository.stcloudstate.edu/csit_etds/10

Chicago Manual of Style (16th Edition):

Dissanayake, Hasith U. “Predicting Student Retention: A Comparative Study of Predictive Models for Predicting Student Retention at St. Cloud State University.” 2016. Masters Thesis, St. Cloud State University. Accessed September 27, 2020. https://repository.stcloudstate.edu/csit_etds/10.

MLA Handbook (7th Edition):

Dissanayake, Hasith U. “Predicting Student Retention: A Comparative Study of Predictive Models for Predicting Student Retention at St. Cloud State University.” 2016. Web. 27 Sep 2020.

Vancouver:

Dissanayake HU. Predicting Student Retention: A Comparative Study of Predictive Models for Predicting Student Retention at St. Cloud State University. [Internet] [Masters thesis]. St. Cloud State University; 2016. [cited 2020 Sep 27]. Available from: https://repository.stcloudstate.edu/csit_etds/10.

Council of Science Editors:

Dissanayake HU. Predicting Student Retention: A Comparative Study of Predictive Models for Predicting Student Retention at St. Cloud State University. [Masters Thesis]. St. Cloud State University; 2016. Available from: https://repository.stcloudstate.edu/csit_etds/10

29. HU JING. Efficient processing of KNN and skyjoin queries.

Degree: 2005, National University of Singapore

Subjects/Keywords: high-dimensional indexing; k nearest neighbor; skyline

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

APA (6th Edition):

JING, H. (2005). Efficient processing of KNN and skyjoin queries. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/14423

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):

JING, HU. “Efficient processing of KNN and skyjoin queries.” 2005. Thesis, National University of Singapore. Accessed September 27, 2020. http://scholarbank.nus.edu.sg/handle/10635/14423.

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

MLA Handbook (7th Edition):

JING, HU. “Efficient processing of KNN and skyjoin queries.” 2005. Web. 27 Sep 2020.

Vancouver:

JING H. Efficient processing of KNN and skyjoin queries. [Internet] [Thesis]. National University of Singapore; 2005. [cited 2020 Sep 27]. Available from: http://scholarbank.nus.edu.sg/handle/10635/14423.

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

Council of Science Editors:

JING H. Efficient processing of KNN and skyjoin queries. [Thesis]. National University of Singapore; 2005. Available from: http://scholarbank.nus.edu.sg/handle/10635/14423

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


University of Akron

30. Liu, Dongqing. GENETIC ALGORITHMS FOR SAMPLE CLASSIFICATION OF MICROARRAY DATA.

Degree: MS, Computer Science, 2005, University of Akron

  Many cancers consist of several different subtypes. For example, the two most common subtypes of renal cell carcinoma (RCC) are the clear cell RCC… (more)

Subjects/Keywords: Computer Science; genetic algorithm; k-nearest neighbor method; classification

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

APA (6th Edition):

Liu, D. (2005). GENETIC ALGORITHMS FOR SAMPLE CLASSIFICATION OF MICROARRAY DATA. (Masters Thesis). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1125253420

Chicago Manual of Style (16th Edition):

Liu, Dongqing. “GENETIC ALGORITHMS FOR SAMPLE CLASSIFICATION OF MICROARRAY DATA.” 2005. Masters Thesis, University of Akron. Accessed September 27, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=akron1125253420.

MLA Handbook (7th Edition):

Liu, Dongqing. “GENETIC ALGORITHMS FOR SAMPLE CLASSIFICATION OF MICROARRAY DATA.” 2005. Web. 27 Sep 2020.

Vancouver:

Liu D. GENETIC ALGORITHMS FOR SAMPLE CLASSIFICATION OF MICROARRAY DATA. [Internet] [Masters thesis]. University of Akron; 2005. [cited 2020 Sep 27]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1125253420.

Council of Science Editors:

Liu D. GENETIC ALGORITHMS FOR SAMPLE CLASSIFICATION OF MICROARRAY DATA. [Masters Thesis]. University of Akron; 2005. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1125253420

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