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You searched for subject:(Decision trees). Showing records 1 – 30 of 293 total matches.

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Univerzitet u Beogradu

1. Jovanović, Miloš, 1982-. Аутоматско генерисање алгоритама стабала одлучивања за класификацију.

Degree: Fakultet organizacionih nauka, 2016, Univerzitet u Beogradu

Организационе науке - Моделирање пословних система и пословно одлучивање / Organizational sciences - Business system and business decision making

Стабла одлучивања су врло распрострањен модел… (more)

Subjects/Keywords: decision trees; algorithm; components; metaheuristics

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APA (6th Edition):

Jovanović, Miloš, 1. (2016). Аутоматско генерисање алгоритама стабала одлучивања за класификацију. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:12050/bdef:Content/get

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):

Jovanović, Miloš, 1982-. “Аутоматско генерисање алгоритама стабала одлучивања за класификацију.” 2016. Thesis, Univerzitet u Beogradu. Accessed June 17, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:12050/bdef:Content/get.

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

MLA Handbook (7th Edition):

Jovanović, Miloš, 1982-. “Аутоматско генерисање алгоритама стабала одлучивања за класификацију.” 2016. Web. 17 Jun 2019.

Vancouver:

Jovanović, Miloš 1. Аутоматско генерисање алгоритама стабала одлучивања за класификацију. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2019 Jun 17]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:12050/bdef:Content/get.

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

Council of Science Editors:

Jovanović, Miloš 1. Аутоматско генерисање алгоритама стабала одлучивања за класификацију. [Thesis]. Univerzitet u Beogradu; 2016. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:12050/bdef:Content/get

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


Wright State University

2. Han, Qian. Mining Shared Decision Trees between Datasets.

Degree: MSCE, Computer Engineering, 2010, Wright State University

 This thesis studies the problem of mining models, patterns andstructures (MPS) shared by two datasets (applications), a wellunderstood dataset, denoted as WD, and a poorly… (more)

Subjects/Keywords: Computer Science; Shared Decision Trees

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APA (6th Edition):

Han, Q. (2010). Mining Shared Decision Trees between Datasets. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1274807201

Chicago Manual of Style (16th Edition):

Han, Qian. “Mining Shared Decision Trees between Datasets.” 2010. Masters Thesis, Wright State University. Accessed June 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1274807201.

MLA Handbook (7th Edition):

Han, Qian. “Mining Shared Decision Trees between Datasets.” 2010. Web. 17 Jun 2019.

Vancouver:

Han Q. Mining Shared Decision Trees between Datasets. [Internet] [Masters thesis]. Wright State University; 2010. [cited 2019 Jun 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1274807201.

Council of Science Editors:

Han Q. Mining Shared Decision Trees between Datasets. [Masters Thesis]. Wright State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1274807201


Central Connecticut State University

3. Tadigadapa, Sairam L. Y., 1969-. The Application of Decision Trees for Diagnosing Liver Disease.

Degree: Department of Mathematical Sciences, 2014, Central Connecticut State University

Liver disease is a major problem in India and many parts of the world. This thesis analyzed the performance of the C5.0, CHAID, QUEST, and… (more)

Subjects/Keywords: Decision trees.; Liver – Diseases – Diagnosis.

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APA (6th Edition):

Tadigadapa, Sairam L. Y., 1. (2014). The Application of Decision Trees for Diagnosing Liver Disease. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,1993

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):

Tadigadapa, Sairam L. Y., 1969-. “The Application of Decision Trees for Diagnosing Liver Disease.” 2014. Thesis, Central Connecticut State University. Accessed June 17, 2019. http://content.library.ccsu.edu/u?/ccsutheses,1993.

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

MLA Handbook (7th Edition):

Tadigadapa, Sairam L. Y., 1969-. “The Application of Decision Trees for Diagnosing Liver Disease.” 2014. Web. 17 Jun 2019.

Vancouver:

Tadigadapa, Sairam L. Y. 1. The Application of Decision Trees for Diagnosing Liver Disease. [Internet] [Thesis]. Central Connecticut State University; 2014. [cited 2019 Jun 17]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1993.

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

Council of Science Editors:

Tadigadapa, Sairam L. Y. 1. The Application of Decision Trees for Diagnosing Liver Disease. [Thesis]. Central Connecticut State University; 2014. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1993

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


University of Texas – Austin

4. Si, Si, Ph.D. Large-scale non-linear prediction with applications.

Degree: Computer Sciences, 2016, University of Texas – Austin

 With an immense growth in data, there is a great need for training and testing machine learning models on very large data sets. Several standard… (more)

Subjects/Keywords: Kernel methods; Classification; Decision trees

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APA (6th Edition):

Si, Si, P. D. (2016). Large-scale non-linear prediction with applications. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/43583

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):

Si, Si, Ph D. “Large-scale non-linear prediction with applications.” 2016. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/43583.

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

MLA Handbook (7th Edition):

Si, Si, Ph D. “Large-scale non-linear prediction with applications.” 2016. Web. 17 Jun 2019.

Vancouver:

Si, Si PD. Large-scale non-linear prediction with applications. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/43583.

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

Council of Science Editors:

Si, Si PD. Large-scale non-linear prediction with applications. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/43583

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

5. Njoku, Obinna Chilezie. Decision Trees and Their Application for Classification and Regression Problems.

Degree: MSin Mathematics, Mathematics, 2019, Missouri State University

  Tree methods are some of the best and most commonly used methods in the field of statistical learning. They are widely used in classification… (more)

Subjects/Keywords: decision trees; classification trees; regression trees; bagging; random forest; boosting; Statistical Models

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

APA (6th Edition):

Njoku, O. C. (2019). Decision Trees and Their Application for Classification and Regression Problems. (Masters Thesis). Missouri State University. Retrieved from https://bearworks.missouristate.edu/theses/3406

Chicago Manual of Style (16th Edition):

Njoku, Obinna Chilezie. “Decision Trees and Their Application for Classification and Regression Problems.” 2019. Masters Thesis, Missouri State University. Accessed June 17, 2019. https://bearworks.missouristate.edu/theses/3406.

MLA Handbook (7th Edition):

Njoku, Obinna Chilezie. “Decision Trees and Their Application for Classification and Regression Problems.” 2019. Web. 17 Jun 2019.

Vancouver:

Njoku OC. Decision Trees and Their Application for Classification and Regression Problems. [Internet] [Masters thesis]. Missouri State University; 2019. [cited 2019 Jun 17]. Available from: https://bearworks.missouristate.edu/theses/3406.

Council of Science Editors:

Njoku OC. Decision Trees and Their Application for Classification and Regression Problems. [Masters Thesis]. Missouri State University; 2019. Available from: https://bearworks.missouristate.edu/theses/3406


Central Connecticut State University

6. Sambasivan, Rajiv, 1971-. Modeling of Flight Delays.

Degree: Department of Mathematical Sciences, 2012, Central Connecticut State University

This thesis develops models for flight delays by major airlines at domestic destinations. Federal regulations require airlines to meet specific revenue criteria regarding their on-time… (more)

Subjects/Keywords: Decision trees.; Flight delays – United States.

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APA (6th Edition):

Sambasivan, Rajiv, 1. (2012). Modeling of Flight Delays. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,1817

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):

Sambasivan, Rajiv, 1971-. “Modeling of Flight Delays.” 2012. Thesis, Central Connecticut State University. Accessed June 17, 2019. http://content.library.ccsu.edu/u?/ccsutheses,1817.

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

MLA Handbook (7th Edition):

Sambasivan, Rajiv, 1971-. “Modeling of Flight Delays.” 2012. Web. 17 Jun 2019.

Vancouver:

Sambasivan, Rajiv 1. Modeling of Flight Delays. [Internet] [Thesis]. Central Connecticut State University; 2012. [cited 2019 Jun 17]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1817.

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

Council of Science Editors:

Sambasivan, Rajiv 1. Modeling of Flight Delays. [Thesis]. Central Connecticut State University; 2012. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1817

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


Central Connecticut State University

7. Bitiukov, Alex. Implementation of Customer Lifetime Value model in the context of Financial Services.

Degree: Department of Mathematical Sciences, 2014, Central Connecticut State University

The challenge of justifying long-term investments using traditional business case evaluation methodologies became increasingly transparent due to increased awareness, shareholder activism, traditional and social media.… (more)

Subjects/Keywords: Financial services industry.; Markov processes.; Decision trees.

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APA (6th Edition):

Bitiukov, A. (2014). Implementation of Customer Lifetime Value model in the context of Financial Services. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,2047

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):

Bitiukov, Alex. “Implementation of Customer Lifetime Value model in the context of Financial Services.” 2014. Thesis, Central Connecticut State University. Accessed June 17, 2019. http://content.library.ccsu.edu/u?/ccsutheses,2047.

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

MLA Handbook (7th Edition):

Bitiukov, Alex. “Implementation of Customer Lifetime Value model in the context of Financial Services.” 2014. Web. 17 Jun 2019.

Vancouver:

Bitiukov A. Implementation of Customer Lifetime Value model in the context of Financial Services. [Internet] [Thesis]. Central Connecticut State University; 2014. [cited 2019 Jun 17]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2047.

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

Council of Science Editors:

Bitiukov A. Implementation of Customer Lifetime Value model in the context of Financial Services. [Thesis]. Central Connecticut State University; 2014. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2047

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


University of Waterloo

8. Li, Chengbo. Causal Sensitivity Analysis for Decision Trees.

Degree: 2015, University of Waterloo

 Ventilator assignments in the pediatric intensive care unit (PICU) are made by medical experts; however, for some patients the relationship between ventilator assignment and patient… (more)

Subjects/Keywords: Treatment Effect; Sensitivity Analysis; Decision Trees

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APA (6th Edition):

Li, C. (2015). Causal Sensitivity Analysis for Decision Trees. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/9076

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):

Li, Chengbo. “Causal Sensitivity Analysis for Decision Trees.” 2015. Thesis, University of Waterloo. Accessed June 17, 2019. http://hdl.handle.net/10012/9076.

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

MLA Handbook (7th Edition):

Li, Chengbo. “Causal Sensitivity Analysis for Decision Trees.” 2015. Web. 17 Jun 2019.

Vancouver:

Li C. Causal Sensitivity Analysis for Decision Trees. [Internet] [Thesis]. University of Waterloo; 2015. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10012/9076.

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

Council of Science Editors:

Li C. Causal Sensitivity Analysis for Decision Trees. [Thesis]. University of Waterloo; 2015. Available from: http://hdl.handle.net/10012/9076

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


University of North Carolina – Greensboro

9. Asiri, Maha Mohammed. A transfer learning-based feature reduction method to improve classification accuracy.

Degree: 2017, University of North Carolina – Greensboro

 The need for efficient data use grows in machine learning algorithm for dataset with larger feature sets. Feature selection is the process of selecting minimum… (more)

Subjects/Keywords: Machine learning; Random graphs; Decision trees; Algorithms

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APA (6th Edition):

Asiri, M. M. (2017). A transfer learning-based feature reduction method to improve classification accuracy. (Masters Thesis). University of North Carolina – Greensboro. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=22550

Chicago Manual of Style (16th Edition):

Asiri, Maha Mohammed. “A transfer learning-based feature reduction method to improve classification accuracy.” 2017. Masters Thesis, University of North Carolina – Greensboro. Accessed June 17, 2019. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=22550.

MLA Handbook (7th Edition):

Asiri, Maha Mohammed. “A transfer learning-based feature reduction method to improve classification accuracy.” 2017. Web. 17 Jun 2019.

Vancouver:

Asiri MM. A transfer learning-based feature reduction method to improve classification accuracy. [Internet] [Masters thesis]. University of North Carolina – Greensboro; 2017. [cited 2019 Jun 17]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=22550.

Council of Science Editors:

Asiri MM. A transfer learning-based feature reduction method to improve classification accuracy. [Masters Thesis]. University of North Carolina – Greensboro; 2017. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=22550


University of Notre Dame

10. Patrick J. Miller. Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>.

Degree: PhD, Psychology, 2017, University of Notre Dame

  The problem of finding structure in big data sets is becoming increasingly relevant to psychologists as it becomes easier and cheaper to collect data… (more)

Subjects/Keywords: nonparametric regression; nonlinear; Boosted decision trees

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APA (6th Edition):

Miller, P. J. (2017). Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/qz20sq89x8q

Chicago Manual of Style (16th Edition):

Miller, Patrick J.. “Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>.” 2017. Doctoral Dissertation, University of Notre Dame. Accessed June 17, 2019. https://curate.nd.edu/show/qz20sq89x8q.

MLA Handbook (7th Edition):

Miller, Patrick J.. “Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>.” 2017. Web. 17 Jun 2019.

Vancouver:

Miller PJ. Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2017. [cited 2019 Jun 17]. Available from: https://curate.nd.edu/show/qz20sq89x8q.

Council of Science Editors:

Miller PJ. Boosted Decision Trees for Multivariate, Hierarchically Clustered, and Longitudinal Data</h1>. [Doctoral Dissertation]. University of Notre Dame; 2017. Available from: https://curate.nd.edu/show/qz20sq89x8q


Virginia Tech

11. Nie, Zhijie. Hoeffding-Tree-Based Learning from Data Streams and Its Application in Online Voltage Security Assessment.

Degree: MS, Electrical and Computer Engineering, 2017, Virginia Tech

 According to the proposed definition and classification of power system stability addressed by IEEE and CIGRE Task Force, voltage stability refers to the stability of… (more)

Subjects/Keywords: Power Systems Stability; Voltage Security Assessment; Machine Learning; Decision Trees; Hoeffding Trees

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APA (6th Edition):

Nie, Z. (2017). Hoeffding-Tree-Based Learning from Data Streams and Its Application in Online Voltage Security Assessment. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78805

Chicago Manual of Style (16th Edition):

Nie, Zhijie. “Hoeffding-Tree-Based Learning from Data Streams and Its Application in Online Voltage Security Assessment.” 2017. Masters Thesis, Virginia Tech. Accessed June 17, 2019. http://hdl.handle.net/10919/78805.

MLA Handbook (7th Edition):

Nie, Zhijie. “Hoeffding-Tree-Based Learning from Data Streams and Its Application in Online Voltage Security Assessment.” 2017. Web. 17 Jun 2019.

Vancouver:

Nie Z. Hoeffding-Tree-Based Learning from Data Streams and Its Application in Online Voltage Security Assessment. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10919/78805.

Council of Science Editors:

Nie Z. Hoeffding-Tree-Based Learning from Data Streams and Its Application in Online Voltage Security Assessment. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78805


KTH

12. Svantesson, David. Implementing Streaming Parallel Decision Trees on Graphic Processing Units.

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

Decision trees have long been a prevalent area within machine learning. With streaming data environments as well as large datasets becoming increasingly common, researchers… (more)

Subjects/Keywords: decision trees; streaming; gpu; hpc; spdt; streaming parallel decision trees; machine learning; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Svantesson, D. (2018). Implementing Streaming Parallel Decision Trees on Graphic Processing Units. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230953

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):

Svantesson, David. “Implementing Streaming Parallel Decision Trees on Graphic Processing Units.” 2018. Thesis, KTH. Accessed June 17, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230953.

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

MLA Handbook (7th Edition):

Svantesson, David. “Implementing Streaming Parallel Decision Trees on Graphic Processing Units.” 2018. Web. 17 Jun 2019.

Vancouver:

Svantesson D. Implementing Streaming Parallel Decision Trees on Graphic Processing Units. [Internet] [Thesis]. KTH; 2018. [cited 2019 Jun 17]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230953.

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

Council of Science Editors:

Svantesson D. Implementing Streaming Parallel Decision Trees on Graphic Processing Units. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230953

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


University of Louisville

13. Alvanpour, Aneseh. Uncovering exceptional predictions using exploratory analysis of second stage machine learning.

Degree: MS, 2017, University of Louisville

  Nowadays, algorithmic systems for making decisions are widely used to facilitate decisions in a variety of fields such as medicine, banking, applying for universities… (more)

Subjects/Keywords: machine learning; interpretability; decision trees; classification; exceptional predictions; decision rules; Other Computer Engineering

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APA (6th Edition):

Alvanpour, A. (2017). Uncovering exceptional predictions using exploratory analysis of second stage machine learning. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/2651 ; https://ir.library.louisville.edu/etd/2651

Chicago Manual of Style (16th Edition):

Alvanpour, Aneseh. “Uncovering exceptional predictions using exploratory analysis of second stage machine learning.” 2017. Masters Thesis, University of Louisville. Accessed June 17, 2019. 10.18297/etd/2651 ; https://ir.library.louisville.edu/etd/2651.

MLA Handbook (7th Edition):

Alvanpour, Aneseh. “Uncovering exceptional predictions using exploratory analysis of second stage machine learning.” 2017. Web. 17 Jun 2019.

Vancouver:

Alvanpour A. Uncovering exceptional predictions using exploratory analysis of second stage machine learning. [Internet] [Masters thesis]. University of Louisville; 2017. [cited 2019 Jun 17]. Available from: 10.18297/etd/2651 ; https://ir.library.louisville.edu/etd/2651.

Council of Science Editors:

Alvanpour A. Uncovering exceptional predictions using exploratory analysis of second stage machine learning. [Masters Thesis]. University of Louisville; 2017. Available from: 10.18297/etd/2651 ; https://ir.library.louisville.edu/etd/2651


Texas State University – San Marcos

14. Phillips, Clark Raymond. Employing an efficient and scalable implementation of the Cost Sensitive Alternating Decision Tree algorithm to efficiently link person records.

Degree: MS, Computer Science, 2015, Texas State University – San Marcos

 When collecting person records for census, identifying individuals accurately is paramount. Over time, people change their phone numbers, their addresses, even their names. Without a… (more)

Subjects/Keywords: Decision trees; Machine learning; Alternating decision tree; Computer science – Mathematics; Combinatorial analysis

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APA (6th Edition):

Phillips, C. R. (2015). Employing an efficient and scalable implementation of the Cost Sensitive Alternating Decision Tree algorithm to efficiently link person records. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/5576

Chicago Manual of Style (16th Edition):

Phillips, Clark Raymond. “Employing an efficient and scalable implementation of the Cost Sensitive Alternating Decision Tree algorithm to efficiently link person records.” 2015. Masters Thesis, Texas State University – San Marcos. Accessed June 17, 2019. https://digital.library.txstate.edu/handle/10877/5576.

MLA Handbook (7th Edition):

Phillips, Clark Raymond. “Employing an efficient and scalable implementation of the Cost Sensitive Alternating Decision Tree algorithm to efficiently link person records.” 2015. Web. 17 Jun 2019.

Vancouver:

Phillips CR. Employing an efficient and scalable implementation of the Cost Sensitive Alternating Decision Tree algorithm to efficiently link person records. [Internet] [Masters thesis]. Texas State University – San Marcos; 2015. [cited 2019 Jun 17]. Available from: https://digital.library.txstate.edu/handle/10877/5576.

Council of Science Editors:

Phillips CR. Employing an efficient and scalable implementation of the Cost Sensitive Alternating Decision Tree algorithm to efficiently link person records. [Masters Thesis]. Texas State University – San Marcos; 2015. Available from: https://digital.library.txstate.edu/handle/10877/5576


Rutgers University

15. Moini, Nadereh, 1965-. Modelling the interrelationship between vessel and truck traffic at marine container terminals.

Degree: PhD, Civil and Environmental Engineering, 2010, Rutgers University

This dissertation established a relation between truck gate activities and wharf operations at a marine container terminal using analytical and simulation approaches. This objective was… (more)

Subjects/Keywords: Container terminals – Mathematical models; Logistic distribution; Bayesian statistical decision theory; Data mining; Decision trees

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APA (6th Edition):

Moini, Nadereh, 1. (2010). Modelling the interrelationship between vessel and truck traffic at marine container terminals. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000053488

Chicago Manual of Style (16th Edition):

Moini, Nadereh, 1965-. “Modelling the interrelationship between vessel and truck traffic at marine container terminals.” 2010. Doctoral Dissertation, Rutgers University. Accessed June 17, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000053488.

MLA Handbook (7th Edition):

Moini, Nadereh, 1965-. “Modelling the interrelationship between vessel and truck traffic at marine container terminals.” 2010. Web. 17 Jun 2019.

Vancouver:

Moini, Nadereh 1. Modelling the interrelationship between vessel and truck traffic at marine container terminals. [Internet] [Doctoral dissertation]. Rutgers University; 2010. [cited 2019 Jun 17]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000053488.

Council of Science Editors:

Moini, Nadereh 1. Modelling the interrelationship between vessel and truck traffic at marine container terminals. [Doctoral Dissertation]. Rutgers University; 2010. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000053488


University of Illinois – Urbana-Champaign

16. Karhade, Prasanna P. Patterns in information technology portfolio decision making: an inductive approach.

Degree: PhD, 0079, 2010, University of Illinois – Urbana-Champaign

 This dissertation examines the structural properties of patterns in the decision-making processes used for information technology (IT) portfolio management with an emphasis on two key… (more)

Subjects/Keywords: IT Portfolio Management; Decision Rules; Routines; Evolution of Routines; Decision Trees; Induction

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APA (6th Edition):

Karhade, P. P. (2010). Patterns in information technology portfolio decision making: an inductive approach. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14753

Chicago Manual of Style (16th Edition):

Karhade, Prasanna P. “Patterns in information technology portfolio decision making: an inductive approach.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed June 17, 2019. http://hdl.handle.net/2142/14753.

MLA Handbook (7th Edition):

Karhade, Prasanna P. “Patterns in information technology portfolio decision making: an inductive approach.” 2010. Web. 17 Jun 2019.

Vancouver:

Karhade PP. Patterns in information technology portfolio decision making: an inductive approach. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2142/14753.

Council of Science Editors:

Karhade PP. Patterns in information technology portfolio decision making: an inductive approach. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14753


University of Georgia

17. Mahamuda, Vasim. Analyzing the performance of machine learning algorithms on metagenomic data.

Degree: MS, Computer Science, 2010, University of Georgia

 Metagenomics is a branch of bioinformatics that deals with the study and analysis of micro-organisms in natural environments. Some micro-organisms including many species of bacteria,… (more)

Subjects/Keywords: Binning; decision trees; machine learning; metagenomics; ensemble methods; supervised learning.

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APA (6th Edition):

Mahamuda, V. (2010). Analyzing the performance of machine learning algorithms on metagenomic data. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/mahamuda_vasim_201008_ms

Chicago Manual of Style (16th Edition):

Mahamuda, Vasim. “Analyzing the performance of machine learning algorithms on metagenomic data.” 2010. Masters Thesis, University of Georgia. Accessed June 17, 2019. http://purl.galileo.usg.edu/uga_etd/mahamuda_vasim_201008_ms.

MLA Handbook (7th Edition):

Mahamuda, Vasim. “Analyzing the performance of machine learning algorithms on metagenomic data.” 2010. Web. 17 Jun 2019.

Vancouver:

Mahamuda V. Analyzing the performance of machine learning algorithms on metagenomic data. [Internet] [Masters thesis]. University of Georgia; 2010. [cited 2019 Jun 17]. Available from: http://purl.galileo.usg.edu/uga_etd/mahamuda_vasim_201008_ms.

Council of Science Editors:

Mahamuda V. Analyzing the performance of machine learning algorithms on metagenomic data. [Masters Thesis]. University of Georgia; 2010. Available from: http://purl.galileo.usg.edu/uga_etd/mahamuda_vasim_201008_ms

18. Leotta, Marco. Context Awareness in the Internet of Things and its Applications.

Degree: 2015, Università degli Studi di Catania

 In the last decade the role of context awareness, traditionally focused on human to machine interaction, has broadened its perspectives to the machine to machine… (more)

Subjects/Keywords: Area 09 - Ingegneria industriale e dell'informazione; decision trees, wsn, smart devices

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APA (6th Edition):

Leotta, M. (2015). Context Awareness in the Internet of Things and its Applications. (Thesis). Università degli Studi di Catania. Retrieved from http://hdl.handle.net/10761/3938

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):

Leotta, Marco. “Context Awareness in the Internet of Things and its Applications.” 2015. Thesis, Università degli Studi di Catania. Accessed June 17, 2019. http://hdl.handle.net/10761/3938.

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

MLA Handbook (7th Edition):

Leotta, Marco. “Context Awareness in the Internet of Things and its Applications.” 2015. Web. 17 Jun 2019.

Vancouver:

Leotta M. Context Awareness in the Internet of Things and its Applications. [Internet] [Thesis]. Università degli Studi di Catania; 2015. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10761/3938.

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

Council of Science Editors:

Leotta M. Context Awareness in the Internet of Things and its Applications. [Thesis]. Università degli Studi di Catania; 2015. Available from: http://hdl.handle.net/10761/3938

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

19. Basgalupp, Márcio Porto. LEGAL-Tree: um algoritmo genético multi-objetivo para indução de árvores de decisão.

Degree: PhD, Ciências de Computação e Matemática Computacional, 2010, University of São Paulo

Dentre as diversas tarefas em que os algoritmos evolutivos têm sido empregados, a indução de regras e de árvores de decisão tem se mostrado uma… (more)

Subjects/Keywords: Algoritmos genéticos; Árvores de decisão; Classificação; Classification; Decision trees; Genetic algoithms

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

APA (6th Edition):

Basgalupp, M. P. (2010). LEGAL-Tree: um algoritmo genético multi-objetivo para indução de árvores de decisão. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12052010-165344/ ;

Chicago Manual of Style (16th Edition):

Basgalupp, Márcio Porto. “LEGAL-Tree: um algoritmo genético multi-objetivo para indução de árvores de decisão.” 2010. Doctoral Dissertation, University of São Paulo. Accessed June 17, 2019. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12052010-165344/ ;.

MLA Handbook (7th Edition):

Basgalupp, Márcio Porto. “LEGAL-Tree: um algoritmo genético multi-objetivo para indução de árvores de decisão.” 2010. Web. 17 Jun 2019.

Vancouver:

Basgalupp MP. LEGAL-Tree: um algoritmo genético multi-objetivo para indução de árvores de decisão. [Internet] [Doctoral dissertation]. University of São Paulo; 2010. [cited 2019 Jun 17]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12052010-165344/ ;.

Council of Science Editors:

Basgalupp MP. LEGAL-Tree: um algoritmo genético multi-objetivo para indução de árvores de decisão. [Doctoral Dissertation]. University of São Paulo; 2010. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-12052010-165344/ ;


University of Alberta

20. Das Gupta, Ujjwal. Adaptive Representation for Policy Gradient.

Degree: MS, Department of Computing Science, 2015, University of Alberta

 Much of the focus on finding good representations in reinforcement learning has been on learning complex non-linear predictors of value. Methods like policy gradient, that… (more)

Subjects/Keywords: Representation Learning; Decision Trees; Policy Gradient; Reinforcement Learning

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APA (6th Edition):

Das Gupta, U. (2015). Adaptive Representation for Policy Gradient. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/zk51vk289

Chicago Manual of Style (16th Edition):

Das Gupta, Ujjwal. “Adaptive Representation for Policy Gradient.” 2015. Masters Thesis, University of Alberta. Accessed June 17, 2019. https://era.library.ualberta.ca/files/zk51vk289.

MLA Handbook (7th Edition):

Das Gupta, Ujjwal. “Adaptive Representation for Policy Gradient.” 2015. Web. 17 Jun 2019.

Vancouver:

Das Gupta U. Adaptive Representation for Policy Gradient. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2019 Jun 17]. Available from: https://era.library.ualberta.ca/files/zk51vk289.

Council of Science Editors:

Das Gupta U. Adaptive Representation for Policy Gradient. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/zk51vk289


Brunel University

21. Clewley, Natalie Christine. The influence of human factors on user's preferences of web-based applications : a data mining approach.

Degree: 2010, Brunel University

 As the Web is fast becoming an integral feature in many of our daily lives, designers are faced with the challenge of designing Web-based applications… (more)

Subjects/Keywords: 020; Cognitive style; System experience; Gender; Decision trees; Feature selection

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

APA (6th Edition):

Clewley, N. C. (2010). The influence of human factors on user's preferences of web-based applications : a data mining approach. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/5178 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.534472

Chicago Manual of Style (16th Edition):

Clewley, Natalie Christine. “The influence of human factors on user's preferences of web-based applications : a data mining approach.” 2010. Doctoral Dissertation, Brunel University. Accessed June 17, 2019. http://bura.brunel.ac.uk/handle/2438/5178 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.534472.

MLA Handbook (7th Edition):

Clewley, Natalie Christine. “The influence of human factors on user's preferences of web-based applications : a data mining approach.” 2010. Web. 17 Jun 2019.

Vancouver:

Clewley NC. The influence of human factors on user's preferences of web-based applications : a data mining approach. [Internet] [Doctoral dissertation]. Brunel University; 2010. [cited 2019 Jun 17]. Available from: http://bura.brunel.ac.uk/handle/2438/5178 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.534472.

Council of Science Editors:

Clewley NC. The influence of human factors on user's preferences of web-based applications : a data mining approach. [Doctoral Dissertation]. Brunel University; 2010. Available from: http://bura.brunel.ac.uk/handle/2438/5178 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.534472


Durham University

22. Summad, Emad. A Monte-Carlo approach to tool selection for sheet metal punching and nibbling.

Degree: PhD, 2001, Durham University

 Selecting the best set of tools to produce certain geometrical shapes/features in sheet metal punching is one of the problems that has a great effect… (more)

Subjects/Keywords: 670; Decision trees; Simulation; Tools

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APA (6th Edition):

Summad, E. (2001). A Monte-Carlo approach to tool selection for sheet metal punching and nibbling. (Doctoral Dissertation). Durham University. Retrieved from http://etheses.dur.ac.uk/4137/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342613

Chicago Manual of Style (16th Edition):

Summad, Emad. “A Monte-Carlo approach to tool selection for sheet metal punching and nibbling.” 2001. Doctoral Dissertation, Durham University. Accessed June 17, 2019. http://etheses.dur.ac.uk/4137/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342613.

MLA Handbook (7th Edition):

Summad, Emad. “A Monte-Carlo approach to tool selection for sheet metal punching and nibbling.” 2001. Web. 17 Jun 2019.

Vancouver:

Summad E. A Monte-Carlo approach to tool selection for sheet metal punching and nibbling. [Internet] [Doctoral dissertation]. Durham University; 2001. [cited 2019 Jun 17]. Available from: http://etheses.dur.ac.uk/4137/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342613.

Council of Science Editors:

Summad E. A Monte-Carlo approach to tool selection for sheet metal punching and nibbling. [Doctoral Dissertation]. Durham University; 2001. Available from: http://etheses.dur.ac.uk/4137/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342613


Hong Kong University of Science and Technology

23. Li, Qingzheng. Hardware implementation of a reconfigurable binary decision tree based classifier.

Degree: 2010, Hong Kong University of Science and Technology

 The Gas Identification System (GIS) based on an array of gas sensors and itsrecognition techniques has been widely investigated in recent decades. However, the integration… (more)

Subjects/Keywords: Decision trees; Pattern recognition systems; Design and construction; Data mining

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

APA (6th Edition):

Li, Q. (2010). Hardware implementation of a reconfigurable binary decision tree based classifier. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1114815 ; http://repository.ust.hk/ir/bitstream/1783.1-7922/1/th_redirect.html

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

Chicago Manual of Style (16th Edition):

Li, Qingzheng. “Hardware implementation of a reconfigurable binary decision tree based classifier.” 2010. Thesis, Hong Kong University of Science and Technology. Accessed June 17, 2019. https://doi.org/10.14711/thesis-b1114815 ; http://repository.ust.hk/ir/bitstream/1783.1-7922/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Li, Qingzheng. “Hardware implementation of a reconfigurable binary decision tree based classifier.” 2010. Web. 17 Jun 2019.

Vancouver:

Li Q. Hardware implementation of a reconfigurable binary decision tree based classifier. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2010. [cited 2019 Jun 17]. Available from: https://doi.org/10.14711/thesis-b1114815 ; http://repository.ust.hk/ir/bitstream/1783.1-7922/1/th_redirect.html.

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

Council of Science Editors:

Li Q. Hardware implementation of a reconfigurable binary decision tree based classifier. [Thesis]. Hong Kong University of Science and Technology; 2010. Available from: https://doi.org/10.14711/thesis-b1114815 ; http://repository.ust.hk/ir/bitstream/1783.1-7922/1/th_redirect.html

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


University of Hong Kong

24. 曾沛坤.; Tsang, Pui-kwan, Smith. Efficient decision tree building algorithms for uncertain data.

Degree: M. Phil., 2008, University of Hong Kong

published_or_final_version

Computer Science

Master

Master of Philosophy

Advisors/Committee Members: Kao, CM.

Subjects/Keywords: Decision trees.; Data mining.; Algorithms.

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APA (6th Edition):

曾沛坤.; Tsang, Pui-kwan, S. (2008). Efficient decision tree building algorithms for uncertain data. (Masters Thesis). University of Hong Kong. Retrieved from Tsang, P. S. [曾沛坤]. (2008). Efficient decision tree building algorithms for uncertain data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4129071 ; http://dx.doi.org/10.5353/th_b4129071 ; http://hdl.handle.net/10722/50806

Chicago Manual of Style (16th Edition):

曾沛坤.; Tsang, Pui-kwan, Smith. “Efficient decision tree building algorithms for uncertain data.” 2008. Masters Thesis, University of Hong Kong. Accessed June 17, 2019. Tsang, P. S. [曾沛坤]. (2008). Efficient decision tree building algorithms for uncertain data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4129071 ; http://dx.doi.org/10.5353/th_b4129071 ; http://hdl.handle.net/10722/50806.

MLA Handbook (7th Edition):

曾沛坤.; Tsang, Pui-kwan, Smith. “Efficient decision tree building algorithms for uncertain data.” 2008. Web. 17 Jun 2019.

Vancouver:

曾沛坤.; Tsang, Pui-kwan S. Efficient decision tree building algorithms for uncertain data. [Internet] [Masters thesis]. University of Hong Kong; 2008. [cited 2019 Jun 17]. Available from: Tsang, P. S. [曾沛坤]. (2008). Efficient decision tree building algorithms for uncertain data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4129071 ; http://dx.doi.org/10.5353/th_b4129071 ; http://hdl.handle.net/10722/50806.

Council of Science Editors:

曾沛坤.; Tsang, Pui-kwan S. Efficient decision tree building algorithms for uncertain data. [Masters Thesis]. University of Hong Kong; 2008. Available from: Tsang, P. S. [曾沛坤]. (2008). Efficient decision tree building algorithms for uncertain data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4129071 ; http://dx.doi.org/10.5353/th_b4129071 ; http://hdl.handle.net/10722/50806

25. Silveira, Josimara de Ávila. Análise de sinais cerebrais utilizando árvores de decisão.

Degree: 2013, Universidade Federal do Rio Grande

Este trabalho propõe um estudo de sinais cerebrais aplicados em sistemas BCI (Brain-Computer Interface - Interfaces Cérebro Computador), através do uso de Árvores de Decisão… (more)

Subjects/Keywords: Sistemas BCI; Árvores de decisão; Neurociência; BCI systems; Decision trees; Neuroscience

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APA (6th Edition):

Silveira, J. d. . (2013). Análise de sinais cerebrais utilizando árvores de decisão. (Masters Thesis). Universidade Federal do Rio Grande. Retrieved from http://repositorio.furg.br/handle/1/6409

Chicago Manual of Style (16th Edition):

Silveira, Josimara de Ávila. “Análise de sinais cerebrais utilizando árvores de decisão.” 2013. Masters Thesis, Universidade Federal do Rio Grande. Accessed June 17, 2019. http://repositorio.furg.br/handle/1/6409.

MLA Handbook (7th Edition):

Silveira, Josimara de Ávila. “Análise de sinais cerebrais utilizando árvores de decisão.” 2013. Web. 17 Jun 2019.

Vancouver:

Silveira Jd. Análise de sinais cerebrais utilizando árvores de decisão. [Internet] [Masters thesis]. Universidade Federal do Rio Grande; 2013. [cited 2019 Jun 17]. Available from: http://repositorio.furg.br/handle/1/6409.

Council of Science Editors:

Silveira Jd. Análise de sinais cerebrais utilizando árvores de decisão. [Masters Thesis]. Universidade Federal do Rio Grande; 2013. Available from: http://repositorio.furg.br/handle/1/6409


Central Connecticut State University

26. Allard, Jeffrey Michael, 1973-. An Application of Gradient Boosted Regression Trees and Random Forests to Prospect Direct Marketing Response Modeling.

Degree: Department of Mathematical Sciences, 2013, Central Connecticut State University

A business that conducts direct marketing activities (e.g. direct mail, outbound-telemarketing, email marketing) has two primary concerns regarding the management of its customer base  –… (more)

Subjects/Keywords: Direct marketing.; Database marketing.; Decision trees.; Data mining.

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APA (6th Edition):

Allard, Jeffrey Michael, 1. (2013). An Application of Gradient Boosted Regression Trees and Random Forests to Prospect Direct Marketing Response Modeling. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,1922

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):

Allard, Jeffrey Michael, 1973-. “An Application of Gradient Boosted Regression Trees and Random Forests to Prospect Direct Marketing Response Modeling.” 2013. Thesis, Central Connecticut State University. Accessed June 17, 2019. http://content.library.ccsu.edu/u?/ccsutheses,1922.

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

MLA Handbook (7th Edition):

Allard, Jeffrey Michael, 1973-. “An Application of Gradient Boosted Regression Trees and Random Forests to Prospect Direct Marketing Response Modeling.” 2013. Web. 17 Jun 2019.

Vancouver:

Allard, Jeffrey Michael 1. An Application of Gradient Boosted Regression Trees and Random Forests to Prospect Direct Marketing Response Modeling. [Internet] [Thesis]. Central Connecticut State University; 2013. [cited 2019 Jun 17]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1922.

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

Council of Science Editors:

Allard, Jeffrey Michael 1. An Application of Gradient Boosted Regression Trees and Random Forests to Prospect Direct Marketing Response Modeling. [Thesis]. Central Connecticut State University; 2013. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1922

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


Massey University

27. Lynn, Robert D. A comparison of tree-based and traditional classification methods.

Degree: PhD, Statistics, 1994, Massey University

 Tree-based discrimination methods provide a way of handling classification and discrimination problems by using decision trees to represent the classification rules. The principal aim of… (more)

Subjects/Keywords: Decision trees; Multivariate analysis; Statistics

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APA (6th Edition):

Lynn, R. D. (1994). A comparison of tree-based and traditional classification methods. (Doctoral Dissertation). Massey University. Retrieved from http://hdl.handle.net/10179/3915

Chicago Manual of Style (16th Edition):

Lynn, Robert D. “A comparison of tree-based and traditional classification methods.” 1994. Doctoral Dissertation, Massey University. Accessed June 17, 2019. http://hdl.handle.net/10179/3915.

MLA Handbook (7th Edition):

Lynn, Robert D. “A comparison of tree-based and traditional classification methods.” 1994. Web. 17 Jun 2019.

Vancouver:

Lynn RD. A comparison of tree-based and traditional classification methods. [Internet] [Doctoral dissertation]. Massey University; 1994. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10179/3915.

Council of Science Editors:

Lynn RD. A comparison of tree-based and traditional classification methods. [Doctoral Dissertation]. Massey University; 1994. Available from: http://hdl.handle.net/10179/3915


Universidade do Rio Grande do Sul

28. Signor, Bruna. Qualidade técnica e reparo periapical em retratamentos endodônticos : estudo observacional.

Degree: 2017, Universidade do Rio Grande do Sul

 Introdução: Retratamentos endodônticos apresentam maior complexidade técnica e piores prognósticos quando comparados ao tratamento endodôntico inicial. Nesse contexto, uma investigação mais detalhada em relação aos… (more)

Subjects/Keywords: Retreatment; Endodontia; Retratamento endodôntico; Endodontics; Decision trees; Data mining

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APA (6th Edition):

Signor, B. (2017). Qualidade técnica e reparo periapical em retratamentos endodônticos : estudo observacional. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/179746

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):

Signor, Bruna. “Qualidade técnica e reparo periapical em retratamentos endodônticos : estudo observacional.” 2017. Thesis, Universidade do Rio Grande do Sul. Accessed June 17, 2019. http://hdl.handle.net/10183/179746.

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

MLA Handbook (7th Edition):

Signor, Bruna. “Qualidade técnica e reparo periapical em retratamentos endodônticos : estudo observacional.” 2017. Web. 17 Jun 2019.

Vancouver:

Signor B. Qualidade técnica e reparo periapical em retratamentos endodônticos : estudo observacional. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2017. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10183/179746.

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

Council of Science Editors:

Signor B. Qualidade técnica e reparo periapical em retratamentos endodônticos : estudo observacional. [Thesis]. Universidade do Rio Grande do Sul; 2017. Available from: http://hdl.handle.net/10183/179746

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


Université Catholique de Louvain

29. Amouh, Teh. Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile.

Degree: 2011, Université Catholique de Louvain

 The amount of data in the world and in our lives seems ever-increasing and there is no end in sight. Such a situation is supported… (more)

Subjects/Keywords: Supervised classification; Clustering; Decision trees; Non-standard data; Sleep analysis

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

APA (6th Edition):

Amouh, T. (2011). Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/105005

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):

Amouh, Teh. “Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile.” 2011. Thesis, Université Catholique de Louvain. Accessed June 17, 2019. http://hdl.handle.net/2078.1/105005.

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

MLA Handbook (7th Edition):

Amouh, Teh. “Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile.” 2011. Web. 17 Jun 2019.

Vancouver:

Amouh T. Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile. [Internet] [Thesis]. Université Catholique de Louvain; 2011. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2078.1/105005.

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

Council of Science Editors:

Amouh T. Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile. [Thesis]. Université Catholique de Louvain; 2011. Available from: http://hdl.handle.net/2078.1/105005

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


Virginia Tech

30. Pakdel, Zahra. Intelligent Instability Detection for Islanding Prediction.

Degree: PhD, Electrical and Computer Engineering, 2011, Virginia Tech

 The goal of the proposed procedure in this dissertation is the implementation of phasor measurement unit (PMU) based instability detection for islanding prediction procedures using… (more)

Subjects/Keywords: data mining; decision trees; neural network; wide area measurements

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

APA (6th Edition):

Pakdel, Z. (2011). Intelligent Instability Detection for Islanding Prediction. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/27715

Chicago Manual of Style (16th Edition):

Pakdel, Zahra. “Intelligent Instability Detection for Islanding Prediction.” 2011. Doctoral Dissertation, Virginia Tech. Accessed June 17, 2019. http://hdl.handle.net/10919/27715.

MLA Handbook (7th Edition):

Pakdel, Zahra. “Intelligent Instability Detection for Islanding Prediction.” 2011. Web. 17 Jun 2019.

Vancouver:

Pakdel Z. Intelligent Instability Detection for Islanding Prediction. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10919/27715.

Council of Science Editors:

Pakdel Z. Intelligent Instability Detection for Islanding Prediction. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/27715

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