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You searched for subject:(knowledge discovery). Showing records 1 – 30 of 400 total matches.

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University of Tasmania

1. Ling, TR. A method for knowledge discovery and development with health data .

Degree: 2011, University of Tasmania

 One of the most overlooked problems in the field of knowledge discovery is the acquisition and incorporation of existing knowledge about the data being analysed… (more)

Subjects/Keywords: knowledge discovery; knowledge acquisition; knowledge comparison

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APA (6th Edition):

Ling, T. (2011). A method for knowledge discovery and development with health data . (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/12484/1/Ling_whole.pdf

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):

Ling, TR. “A method for knowledge discovery and development with health data .” 2011. Thesis, University of Tasmania. Accessed August 13, 2020. https://eprints.utas.edu.au/12484/1/Ling_whole.pdf.

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

MLA Handbook (7th Edition):

Ling, TR. “A method for knowledge discovery and development with health data .” 2011. Web. 13 Aug 2020.

Vancouver:

Ling T. A method for knowledge discovery and development with health data . [Internet] [Thesis]. University of Tasmania; 2011. [cited 2020 Aug 13]. Available from: https://eprints.utas.edu.au/12484/1/Ling_whole.pdf.

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

Council of Science Editors:

Ling T. A method for knowledge discovery and development with health data . [Thesis]. University of Tasmania; 2011. Available from: https://eprints.utas.edu.au/12484/1/Ling_whole.pdf

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


University of Notre Dame

2. Nathan James Regola. Infrastructure For Big Data</h1>.

Degree: Computer Science and Engineering, 2012, University of Notre Dame

  Data is being collected at an increasing rate and is relied on for decision making processes in a variety of industries. The modern day… (more)

Subjects/Keywords: databases; knowledge discovery; benchmarking

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APA (6th Edition):

Regola, N. J. (2012). Infrastructure For Big Data</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/vh53ws87v11

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):

Regola, Nathan James. “Infrastructure For Big Data</h1>.” 2012. Thesis, University of Notre Dame. Accessed August 13, 2020. https://curate.nd.edu/show/vh53ws87v11.

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

MLA Handbook (7th Edition):

Regola, Nathan James. “Infrastructure For Big Data</h1>.” 2012. Web. 13 Aug 2020.

Vancouver:

Regola NJ. Infrastructure For Big Data</h1>. [Internet] [Thesis]. University of Notre Dame; 2012. [cited 2020 Aug 13]. Available from: https://curate.nd.edu/show/vh53ws87v11.

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

Council of Science Editors:

Regola NJ. Infrastructure For Big Data</h1>. [Thesis]. University of Notre Dame; 2012. Available from: https://curate.nd.edu/show/vh53ws87v11

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


Anna University

3. Appavu alias balamurugan S. Enhancing the performance of Classification algorithms through Dataset tuning feature selection and Exception handling;.

Degree: Enhancing the performance of Classification algorithms through Dataset tuning feature selection and Exception handling, 2015, Anna University

This thesis presents a spectrum of novel solutions for enhancing the newlineperformance of classification tasks in Knowledge Discovery Process by newlinetaking into account redundant and… (more)

Subjects/Keywords: Bayes Theorem; Knowledge Discovery in Databases; Knowledge Discovery Process

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APA (6th Edition):

S, A. a. b. (2015). Enhancing the performance of Classification algorithms through Dataset tuning feature selection and Exception handling;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/33120

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):

S, Appavu alias balamurugan. “Enhancing the performance of Classification algorithms through Dataset tuning feature selection and Exception handling;.” 2015. Thesis, Anna University. Accessed August 13, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/33120.

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

MLA Handbook (7th Edition):

S, Appavu alias balamurugan. “Enhancing the performance of Classification algorithms through Dataset tuning feature selection and Exception handling;.” 2015. Web. 13 Aug 2020.

Vancouver:

S Aab. Enhancing the performance of Classification algorithms through Dataset tuning feature selection and Exception handling;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Aug 13]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/33120.

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

Council of Science Editors:

S Aab. Enhancing the performance of Classification algorithms through Dataset tuning feature selection and Exception handling;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/33120

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


Stellenbosch University

4. Arndt, Heidi. Knowledge discovery and anomalies — towards a dynamic decision-making model for medical informatics.

Degree: PhD, Information Science, 2018, Stellenbosch University

 ENGLISH SUMMARY : Worldwide healthcare has become a major concern for modern society, which is challenged to make quality care accessible and affordable to all.… (more)

Subjects/Keywords: Algorithmic knowledge discovery; Biomedical informatics; Complex organisations; Bisociative knowledge discovery; UCTD

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APA (6th Edition):

Arndt, H. (2018). Knowledge discovery and anomalies — towards a dynamic decision-making model for medical informatics. (Doctoral Dissertation). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/103311

Chicago Manual of Style (16th Edition):

Arndt, Heidi. “Knowledge discovery and anomalies — towards a dynamic decision-making model for medical informatics.” 2018. Doctoral Dissertation, Stellenbosch University. Accessed August 13, 2020. http://hdl.handle.net/10019.1/103311.

MLA Handbook (7th Edition):

Arndt, Heidi. “Knowledge discovery and anomalies — towards a dynamic decision-making model for medical informatics.” 2018. Web. 13 Aug 2020.

Vancouver:

Arndt H. Knowledge discovery and anomalies — towards a dynamic decision-making model for medical informatics. [Internet] [Doctoral dissertation]. Stellenbosch University; 2018. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10019.1/103311.

Council of Science Editors:

Arndt H. Knowledge discovery and anomalies — towards a dynamic decision-making model for medical informatics. [Doctoral Dissertation]. Stellenbosch University; 2018. Available from: http://hdl.handle.net/10019.1/103311


Universiteit Utrecht

5. Melendez Esquivel, A.I. Gaining insight from professional online social networks to support business decisions.

Degree: 2014, Universiteit Utrecht

 Online social networks are a technological phenomenon that has affected the communication dynamics of modern society. From the way people interact with friends and colleagues,… (more)

Subjects/Keywords: Online Social Networks; Knowledge Discovery; LinkedIn

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APA (6th Edition):

Melendez Esquivel, A. I. (2014). Gaining insight from professional online social networks to support business decisions. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/298571

Chicago Manual of Style (16th Edition):

Melendez Esquivel, A I. “Gaining insight from professional online social networks to support business decisions.” 2014. Masters Thesis, Universiteit Utrecht. Accessed August 13, 2020. http://dspace.library.uu.nl:8080/handle/1874/298571.

MLA Handbook (7th Edition):

Melendez Esquivel, A I. “Gaining insight from professional online social networks to support business decisions.” 2014. Web. 13 Aug 2020.

Vancouver:

Melendez Esquivel AI. Gaining insight from professional online social networks to support business decisions. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2020 Aug 13]. Available from: http://dspace.library.uu.nl:8080/handle/1874/298571.

Council of Science Editors:

Melendez Esquivel AI. Gaining insight from professional online social networks to support business decisions. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/298571

6. Lefebvre, A.E. Reproducible Research and Interactive Data Mining in Bioinformatics.

Degree: 2015, Universiteit Utrecht

 Data analysis of Next-Generation sequencing data is widely recognized as being a bottleneck on the way to understanding the human genome and personalize treatments. Studies… (more)

Subjects/Keywords: Reproducible Research; Knowledge discovery; bioinformatics; biomedical science

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APA (6th Edition):

Lefebvre, A. E. (2015). Reproducible Research and Interactive Data Mining in Bioinformatics. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/319430

Chicago Manual of Style (16th Edition):

Lefebvre, A E. “Reproducible Research and Interactive Data Mining in Bioinformatics.” 2015. Masters Thesis, Universiteit Utrecht. Accessed August 13, 2020. http://dspace.library.uu.nl:8080/handle/1874/319430.

MLA Handbook (7th Edition):

Lefebvre, A E. “Reproducible Research and Interactive Data Mining in Bioinformatics.” 2015. Web. 13 Aug 2020.

Vancouver:

Lefebvre AE. Reproducible Research and Interactive Data Mining in Bioinformatics. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2020 Aug 13]. Available from: http://dspace.library.uu.nl:8080/handle/1874/319430.

Council of Science Editors:

Lefebvre AE. Reproducible Research and Interactive Data Mining in Bioinformatics. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/319430


The Ohio State University

7. Albin, Aaron. Building an online UMLS knowledge discovery platform using graph indexing.

Degree: MS, Computer Science and Engineering, 2014, The Ohio State University

 The UMLS is a rich collection of biomedical concepts which are connected by semantic relations. Using transitively associated information for knowledge discovery has been shown… (more)

Subjects/Keywords: Computer Science; UMLS; graph indexing; knowledge discovery

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APA (6th Edition):

Albin, A. (2014). Building an online UMLS knowledge discovery platform using graph indexing. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1398946883

Chicago Manual of Style (16th Edition):

Albin, Aaron. “Building an online UMLS knowledge discovery platform using graph indexing.” 2014. Masters Thesis, The Ohio State University. Accessed August 13, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1398946883.

MLA Handbook (7th Edition):

Albin, Aaron. “Building an online UMLS knowledge discovery platform using graph indexing.” 2014. Web. 13 Aug 2020.

Vancouver:

Albin A. Building an online UMLS knowledge discovery platform using graph indexing. [Internet] [Masters thesis]. The Ohio State University; 2014. [cited 2020 Aug 13]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1398946883.

Council of Science Editors:

Albin A. Building an online UMLS knowledge discovery platform using graph indexing. [Masters Thesis]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1398946883


Universidade Nova

8. Serras, Flávia Alexandra Jorge. Métodos de aprendizagem automática: um estudo baseado na avaliação e previsão de clientes bancários.

Degree: 2016, Universidade Nova

 Data Mining surge, hoje em dia, como uma ferramenta importante e crucial para o sucesso de um negócio. O considerável volume de dados que atualmente… (more)

Subjects/Keywords: Data Mining; Knowledge Discovery Database; Machine Learning

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APA (6th Edition):

Serras, F. A. J. (2016). Métodos de aprendizagem automática: um estudo baseado na avaliação e previsão de clientes bancários. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/17371

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):

Serras, Flávia Alexandra Jorge. “Métodos de aprendizagem automática: um estudo baseado na avaliação e previsão de clientes bancários.” 2016. Thesis, Universidade Nova. Accessed August 13, 2020. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/17371.

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

MLA Handbook (7th Edition):

Serras, Flávia Alexandra Jorge. “Métodos de aprendizagem automática: um estudo baseado na avaliação e previsão de clientes bancários.” 2016. Web. 13 Aug 2020.

Vancouver:

Serras FAJ. Métodos de aprendizagem automática: um estudo baseado na avaliação e previsão de clientes bancários. [Internet] [Thesis]. Universidade Nova; 2016. [cited 2020 Aug 13]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/17371.

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

Council of Science Editors:

Serras FAJ. Métodos de aprendizagem automática: um estudo baseado na avaliação e previsão de clientes bancários. [Thesis]. Universidade Nova; 2016. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/17371

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


University of Sydney

9. Babbar, Sakshi. Inferring Anomalies from Data using Bayesian Networks .

Degree: 2013, University of Sydney

 Existing studies on data mining has largely focused on the design of measures and algorithms to identify outliers in large and high dimensional categorical and… (more)

Subjects/Keywords: Bayesian networks; outlier; causal inference; knowledge discovery

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APA (6th Edition):

Babbar, S. (2013). Inferring Anomalies from Data using Bayesian Networks . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/9371

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):

Babbar, Sakshi. “Inferring Anomalies from Data using Bayesian Networks .” 2013. Thesis, University of Sydney. Accessed August 13, 2020. http://hdl.handle.net/2123/9371.

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

MLA Handbook (7th Edition):

Babbar, Sakshi. “Inferring Anomalies from Data using Bayesian Networks .” 2013. Web. 13 Aug 2020.

Vancouver:

Babbar S. Inferring Anomalies from Data using Bayesian Networks . [Internet] [Thesis]. University of Sydney; 2013. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2123/9371.

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

Council of Science Editors:

Babbar S. Inferring Anomalies from Data using Bayesian Networks . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/9371

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


University of Melbourne

10. Naderivesal, Somayeh. Effective, efficient and private similarity search in spatiotemporal trajectory datasets.

Degree: 2019, University of Melbourne

 Location-aware devices have become an integral part of our daily lives. With their widespread use, a tremendous amount of data in the form of spatiotemporal… (more)

Subjects/Keywords: spatiotemporal trajectory; knowledge discovery; similarity; indexing

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APA (6th Edition):

Naderivesal, S. (2019). Effective, efficient and private similarity search in spatiotemporal trajectory datasets. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/226863

Chicago Manual of Style (16th Edition):

Naderivesal, Somayeh. “Effective, efficient and private similarity search in spatiotemporal trajectory datasets.” 2019. Doctoral Dissertation, University of Melbourne. Accessed August 13, 2020. http://hdl.handle.net/11343/226863.

MLA Handbook (7th Edition):

Naderivesal, Somayeh. “Effective, efficient and private similarity search in spatiotemporal trajectory datasets.” 2019. Web. 13 Aug 2020.

Vancouver:

Naderivesal S. Effective, efficient and private similarity search in spatiotemporal trajectory datasets. [Internet] [Doctoral dissertation]. University of Melbourne; 2019. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/11343/226863.

Council of Science Editors:

Naderivesal S. Effective, efficient and private similarity search in spatiotemporal trajectory datasets. [Doctoral Dissertation]. University of Melbourne; 2019. Available from: http://hdl.handle.net/11343/226863


University of Southern California

11. Quan, Lin. Learning about the Internet through efficient sampling and aggregation.

Degree: PhD, Computer Science, 2014, University of Southern California

 The Internet is important for nearly all aspects of our society, affecting ordinary people, businesses, and social activities. Because of its importance and wide‐spread applications,… (more)

Subjects/Keywords: Internet measurement; knowledge discovery; sampling and aggregation

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APA (6th Edition):

Quan, L. (2014). Learning about the Internet through efficient sampling and aggregation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366017/rec/3780

Chicago Manual of Style (16th Edition):

Quan, Lin. “Learning about the Internet through efficient sampling and aggregation.” 2014. Doctoral Dissertation, University of Southern California. Accessed August 13, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366017/rec/3780.

MLA Handbook (7th Edition):

Quan, Lin. “Learning about the Internet through efficient sampling and aggregation.” 2014. Web. 13 Aug 2020.

Vancouver:

Quan L. Learning about the Internet through efficient sampling and aggregation. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Aug 13]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366017/rec/3780.

Council of Science Editors:

Quan L. Learning about the Internet through efficient sampling and aggregation. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/366017/rec/3780


University of Limerick

12. Alahmadi, Alaa. Automatic text classification using bag of words and bag of concepts based representations.

Degree: 2016, University of Limerick

peer-reviewed

Automatic Text Classification (ATC) is one of the most important tasks in data mining for organizing information and knowledge discovery. The goal of ATC… (more)

Subjects/Keywords: automatic text classification; ATC; knowledge discovery

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APA (6th Edition):

Alahmadi, A. (2016). Automatic text classification using bag of words and bag of concepts based representations. (Thesis). University of Limerick. Retrieved from http://hdl.handle.net/10344/5224

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):

Alahmadi, Alaa. “Automatic text classification using bag of words and bag of concepts based representations.” 2016. Thesis, University of Limerick. Accessed August 13, 2020. http://hdl.handle.net/10344/5224.

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

MLA Handbook (7th Edition):

Alahmadi, Alaa. “Automatic text classification using bag of words and bag of concepts based representations.” 2016. Web. 13 Aug 2020.

Vancouver:

Alahmadi A. Automatic text classification using bag of words and bag of concepts based representations. [Internet] [Thesis]. University of Limerick; 2016. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10344/5224.

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

Council of Science Editors:

Alahmadi A. Automatic text classification using bag of words and bag of concepts based representations. [Thesis]. University of Limerick; 2016. Available from: http://hdl.handle.net/10344/5224

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

13. Pila, Adriano Donizete. Computação Evolutiva para a Construção de Regras de Conhecimento com Propriedades Específicas.

Degree: PhD, Ciências de Computação e Matemática Computacional, 2007, University of São Paulo

A maioria dos algoritmos de aprendizado de máquina simbólico utilizam regras de conhecimento if-then como linguagem de descrição para expressar o conhecimento aprendido. O objetivo… (more)

Subjects/Keywords: Computação evolutiva; Descoberta de conhecimento; Evolutionary computing; Knowledge discovery; Knowledge rules; Regras de conhecimento

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APA (6th Edition):

Pila, A. D. (2007). Computação Evolutiva para a Construção de Regras de Conhecimento com Propriedades Específicas. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-03052007-134537/ ;

Chicago Manual of Style (16th Edition):

Pila, Adriano Donizete. “Computação Evolutiva para a Construção de Regras de Conhecimento com Propriedades Específicas.” 2007. Doctoral Dissertation, University of São Paulo. Accessed August 13, 2020. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-03052007-134537/ ;.

MLA Handbook (7th Edition):

Pila, Adriano Donizete. “Computação Evolutiva para a Construção de Regras de Conhecimento com Propriedades Específicas.” 2007. Web. 13 Aug 2020.

Vancouver:

Pila AD. Computação Evolutiva para a Construção de Regras de Conhecimento com Propriedades Específicas. [Internet] [Doctoral dissertation]. University of São Paulo; 2007. [cited 2020 Aug 13]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-03052007-134537/ ;.

Council of Science Editors:

Pila AD. Computação Evolutiva para a Construção de Regras de Conhecimento com Propriedades Específicas. [Doctoral Dissertation]. University of São Paulo; 2007. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-03052007-134537/ ;


Anna University

14. Kanimozhiselvi C S. An investigation on automatic support thresholds for association rule mining.

Degree: Association rule mining, 2013, Anna University

The process of Knowledge Discovery in Database is aimed at extracting useful information from large databases. Among the several steps of Knowledge Discovery in Databases,… (more)

Subjects/Keywords: Knowledge Discovery; Data mining; Rule mining; Exact association rule

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APA (6th Edition):

S, K. C. (2013). An investigation on automatic support thresholds for association rule mining. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/9847

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):

S, Kanimozhiselvi C. “An investigation on automatic support thresholds for association rule mining.” 2013. Thesis, Anna University. Accessed August 13, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/9847.

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

MLA Handbook (7th Edition):

S, Kanimozhiselvi C. “An investigation on automatic support thresholds for association rule mining.” 2013. Web. 13 Aug 2020.

Vancouver:

S KC. An investigation on automatic support thresholds for association rule mining. [Internet] [Thesis]. Anna University; 2013. [cited 2020 Aug 13]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9847.

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

Council of Science Editors:

S KC. An investigation on automatic support thresholds for association rule mining. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9847

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


Anna University

15. Rajalakshmi, M. Improved algorithmic techniques for mining and privacy preservation of Frequent itemsets; -.

Degree: Information and Communication Engineering, 2014, Anna University

It is but natural to have unprecedented advancements and evolution newlinein the field of database technology as it is the need of the hour to… (more)

Subjects/Keywords: Data mining techniques; Information and Communication engineering; Knowledge Discovery in Databases

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APA (6th Edition):

Rajalakshmi, M. (2014). Improved algorithmic techniques for mining and privacy preservation of Frequent itemsets; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/25275

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):

Rajalakshmi, M. “Improved algorithmic techniques for mining and privacy preservation of Frequent itemsets; -.” 2014. Thesis, Anna University. Accessed August 13, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/25275.

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

MLA Handbook (7th Edition):

Rajalakshmi, M. “Improved algorithmic techniques for mining and privacy preservation of Frequent itemsets; -.” 2014. Web. 13 Aug 2020.

Vancouver:

Rajalakshmi M. Improved algorithmic techniques for mining and privacy preservation of Frequent itemsets; -. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Aug 13]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/25275.

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

Council of Science Editors:

Rajalakshmi M. Improved algorithmic techniques for mining and privacy preservation of Frequent itemsets; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/25275

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

16. Senthil Vadivu P. Optimized Feature Extraction and Actionable Knowledge Discovery For Customer Relationship Management;.

Degree: 2015, Avinashilingam Deemed University For Women

Recent years are envisaging intense competition in banking sectors and as a consequence, majority of banks are paying more attention on Customer Loyalty Prediction Customer… (more)

Subjects/Keywords: Customer Realtionship Management; Customer Loyalty Assessment; Actionable Knowledge Discovery

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

APA (6th Edition):

P, S. V. (2015). Optimized Feature Extraction and Actionable Knowledge Discovery For Customer Relationship Management;. (Thesis). Avinashilingam Deemed University For Women. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/36873

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):

P, Senthil Vadivu. “Optimized Feature Extraction and Actionable Knowledge Discovery For Customer Relationship Management;.” 2015. Thesis, Avinashilingam Deemed University For Women. Accessed August 13, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/36873.

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

MLA Handbook (7th Edition):

P, Senthil Vadivu. “Optimized Feature Extraction and Actionable Knowledge Discovery For Customer Relationship Management;.” 2015. Web. 13 Aug 2020.

Vancouver:

P SV. Optimized Feature Extraction and Actionable Knowledge Discovery For Customer Relationship Management;. [Internet] [Thesis]. Avinashilingam Deemed University For Women; 2015. [cited 2020 Aug 13]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/36873.

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

Council of Science Editors:

P SV. Optimized Feature Extraction and Actionable Knowledge Discovery For Customer Relationship Management;. [Thesis]. Avinashilingam Deemed University For Women; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/36873

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

17. Euler, Timm. Knowledge discovery in databases at a conceptual level.

Degree: 2007, Technische Universität Dortmund

Knowledge Discovery in Databases (KDD) is a nontrivial process centered around one or more applications of a Machine Learning algorithm to real world data. Steps… (more)

Subjects/Keywords: Data mining; Data preparation; Datenvorverarbeitung; Knowledge discovery in databases; Wissensentdeckung; 004

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

APA (6th Edition):

Euler, T. (2007). Knowledge discovery in databases at a conceptual level. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/24945

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):

Euler, Timm. “Knowledge discovery in databases at a conceptual level.” 2007. Thesis, Technische Universität Dortmund. Accessed August 13, 2020. http://hdl.handle.net/2003/24945.

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

MLA Handbook (7th Edition):

Euler, Timm. “Knowledge discovery in databases at a conceptual level.” 2007. Web. 13 Aug 2020.

Vancouver:

Euler T. Knowledge discovery in databases at a conceptual level. [Internet] [Thesis]. Technische Universität Dortmund; 2007. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2003/24945.

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

Council of Science Editors:

Euler T. Knowledge discovery in databases at a conceptual level. [Thesis]. Technische Universität Dortmund; 2007. Available from: http://hdl.handle.net/2003/24945

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


Addis Ababa University

18. Helen, Tefera Kidane. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .

Degree: 2012, Addis Ababa University

Knowledge and understanding of a problem is always the first step in identifying effective solutions. Child labor is both a sign and cause of poverty… (more)

Subjects/Keywords: Data mining; apriori algorithm; association rule; knowledge discovery

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

APA (6th Edition):

Helen, T. K. (2012). APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/2811

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):

Helen, Tefera Kidane. “APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .” 2012. Thesis, Addis Ababa University. Accessed August 13, 2020. http://etd.aau.edu.et/dspace/handle/123456789/2811.

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

MLA Handbook (7th Edition):

Helen, Tefera Kidane. “APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .” 2012. Web. 13 Aug 2020.

Vancouver:

Helen TK. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . [Internet] [Thesis]. Addis Ababa University; 2012. [cited 2020 Aug 13]. Available from: http://etd.aau.edu.et/dspace/handle/123456789/2811.

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

Council of Science Editors:

Helen TK. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . [Thesis]. Addis Ababa University; 2012. Available from: http://etd.aau.edu.et/dspace/handle/123456789/2811

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


Addis Ababa University

19. Tefera, Helen. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .

Degree: 2008, Addis Ababa University

Knowledge and understanding of a problem is always the first step in identifying effective solutions. Child labor is both a sign and cause of poverty… (more)

Subjects/Keywords: Data mining; knowledge discovery; association rule; apriori algorithm

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

APA (6th Edition):

Tefera, H. (2008). APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/2819

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):

Tefera, Helen. “APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .” 2008. Thesis, Addis Ababa University. Accessed August 13, 2020. http://etd.aau.edu.et/dspace/handle/123456789/2819.

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

MLA Handbook (7th Edition):

Tefera, Helen. “APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .” 2008. Web. 13 Aug 2020.

Vancouver:

Tefera H. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . [Internet] [Thesis]. Addis Ababa University; 2008. [cited 2020 Aug 13]. Available from: http://etd.aau.edu.et/dspace/handle/123456789/2819.

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

Council of Science Editors:

Tefera H. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . [Thesis]. Addis Ababa University; 2008. Available from: http://etd.aau.edu.et/dspace/handle/123456789/2819

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


Universidade do Minho

20. Portela, Filipe. Pervasive intelligent decision support in critical health care .

Degree: 2013, Universidade do Minho

 Intensive Care Units (ICU) are recognized as being critical environments, due to the fact that patients admitted to these units typically find themselves in situations… (more)

Subjects/Keywords: Pervasive; Decision Support; Intelligent System; Intensive Care; Data Mining; Knowledge Discovery

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

APA (6th Edition):

Portela, F. (2013). Pervasive intelligent decision support in critical health care . (Doctoral Dissertation). Universidade do Minho. Retrieved from http://hdl.handle.net/1822/27792

Chicago Manual of Style (16th Edition):

Portela, Filipe. “Pervasive intelligent decision support in critical health care .” 2013. Doctoral Dissertation, Universidade do Minho. Accessed August 13, 2020. http://hdl.handle.net/1822/27792.

MLA Handbook (7th Edition):

Portela, Filipe. “Pervasive intelligent decision support in critical health care .” 2013. Web. 13 Aug 2020.

Vancouver:

Portela F. Pervasive intelligent decision support in critical health care . [Internet] [Doctoral dissertation]. Universidade do Minho; 2013. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1822/27792.

Council of Science Editors:

Portela F. Pervasive intelligent decision support in critical health care . [Doctoral Dissertation]. Universidade do Minho; 2013. Available from: http://hdl.handle.net/1822/27792


NSYSU

21. Yeh, Hsiao-pin. Exploring the relationship between student performance and department reputation: An example of PhD programs in business and management departments.

Degree: Master, Information Management, 2006, NSYSU

 If companies want to stand out in the competitive market environment to raise customer awareness, they must understand customersâ requirements, interests, and behaviors. In the… (more)

Subjects/Keywords: Knowledge discovery; department marketing; OLAP

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

APA (6th Edition):

Yeh, H. (2006). Exploring the relationship between student performance and department reputation: An example of PhD programs in business and management departments. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0824106-134003

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):

Yeh, Hsiao-pin. “Exploring the relationship between student performance and department reputation: An example of PhD programs in business and management departments.” 2006. Thesis, NSYSU. Accessed August 13, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0824106-134003.

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

MLA Handbook (7th Edition):

Yeh, Hsiao-pin. “Exploring the relationship between student performance and department reputation: An example of PhD programs in business and management departments.” 2006. Web. 13 Aug 2020.

Vancouver:

Yeh H. Exploring the relationship between student performance and department reputation: An example of PhD programs in business and management departments. [Internet] [Thesis]. NSYSU; 2006. [cited 2020 Aug 13]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0824106-134003.

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

Council of Science Editors:

Yeh H. Exploring the relationship between student performance and department reputation: An example of PhD programs in business and management departments. [Thesis]. NSYSU; 2006. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0824106-134003

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


University of Wollongong

22. Polpinij, Jantima. Ontology-based knowledge discovery from unstructured and semi-structured text.

Degree: PhD, 2014, University of Wollongong

  This dissertation proposes a novel methodology for knowledge discovery in large data sets, with a focus on unstructured and semi-structured textual data. To our… (more)

Subjects/Keywords: knowledge discovery; ontology; unstructured text; Semi-structured text

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

APA (6th Edition):

Polpinij, J. (2014). Ontology-based knowledge discovery from unstructured and semi-structured text. (Doctoral Dissertation). University of Wollongong. Retrieved from 080107 Natural Language Processing, 080109 Pattern Recognition and Data Mining ; https://ro.uow.edu.au/theses/4172

Chicago Manual of Style (16th Edition):

Polpinij, Jantima. “Ontology-based knowledge discovery from unstructured and semi-structured text.” 2014. Doctoral Dissertation, University of Wollongong. Accessed August 13, 2020. 080107 Natural Language Processing, 080109 Pattern Recognition and Data Mining ; https://ro.uow.edu.au/theses/4172.

MLA Handbook (7th Edition):

Polpinij, Jantima. “Ontology-based knowledge discovery from unstructured and semi-structured text.” 2014. Web. 13 Aug 2020.

Vancouver:

Polpinij J. Ontology-based knowledge discovery from unstructured and semi-structured text. [Internet] [Doctoral dissertation]. University of Wollongong; 2014. [cited 2020 Aug 13]. Available from: 080107 Natural Language Processing, 080109 Pattern Recognition and Data Mining ; https://ro.uow.edu.au/theses/4172.

Council of Science Editors:

Polpinij J. Ontology-based knowledge discovery from unstructured and semi-structured text. [Doctoral Dissertation]. University of Wollongong; 2014. Available from: 080107 Natural Language Processing, 080109 Pattern Recognition and Data Mining ; https://ro.uow.edu.au/theses/4172


Universidade Nova

23. Safronov, Vadym. Trade marketing analytics in consumer goods industry.

Degree: 2017, Universidade Nova

 We address transparency of trade spends in consumer goods industry and propose a set of business performance indicators that follow Pareto (80/20) rule – a… (more)

Subjects/Keywords: Knowledge discovery; Power law; Networks; Consumer goods; Trade marketing.

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

APA (6th Edition):

Safronov, V. (2017). Trade marketing analytics in consumer goods industry. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/22002

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):

Safronov, Vadym. “Trade marketing analytics in consumer goods industry.” 2017. Thesis, Universidade Nova. Accessed August 13, 2020. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/22002.

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

MLA Handbook (7th Edition):

Safronov, Vadym. “Trade marketing analytics in consumer goods industry.” 2017. Web. 13 Aug 2020.

Vancouver:

Safronov V. Trade marketing analytics in consumer goods industry. [Internet] [Thesis]. Universidade Nova; 2017. [cited 2020 Aug 13]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/22002.

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

Council of Science Editors:

Safronov V. Trade marketing analytics in consumer goods industry. [Thesis]. Universidade Nova; 2017. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/22002

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


Open Universiteit Nederland

24. Westbroek, Martijn. A Conceptual Business Intelligence Framework for the Identification, Analysis and Visualization of Container Data Changes and its Impact on Yard Movement .

Degree: 2012, Open Universiteit Nederland

 The number of unproductive handlings (moves) per container visit is one of the key performance indicators used by port terminal management. These additional unproductive moves… (more)

Subjects/Keywords: Business Intelligence; Knowledge Discovery; Yard Movement; Data Changes

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

APA (6th Edition):

Westbroek, M. (2012). A Conceptual Business Intelligence Framework for the Identification, Analysis and Visualization of Container Data Changes and its Impact on Yard Movement . (Masters Thesis). Open Universiteit Nederland. Retrieved from http://hdl.handle.net/1820/4322

Chicago Manual of Style (16th Edition):

Westbroek, Martijn. “A Conceptual Business Intelligence Framework for the Identification, Analysis and Visualization of Container Data Changes and its Impact on Yard Movement .” 2012. Masters Thesis, Open Universiteit Nederland. Accessed August 13, 2020. http://hdl.handle.net/1820/4322.

MLA Handbook (7th Edition):

Westbroek, Martijn. “A Conceptual Business Intelligence Framework for the Identification, Analysis and Visualization of Container Data Changes and its Impact on Yard Movement .” 2012. Web. 13 Aug 2020.

Vancouver:

Westbroek M. A Conceptual Business Intelligence Framework for the Identification, Analysis and Visualization of Container Data Changes and its Impact on Yard Movement . [Internet] [Masters thesis]. Open Universiteit Nederland; 2012. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1820/4322.

Council of Science Editors:

Westbroek M. A Conceptual Business Intelligence Framework for the Identification, Analysis and Visualization of Container Data Changes and its Impact on Yard Movement . [Masters Thesis]. Open Universiteit Nederland; 2012. Available from: http://hdl.handle.net/1820/4322

25. Guimarães, Francisco José Rosales Santana. Ontologias com suporte em metadados para interoperabilidade entre arquitetura empresarial e business intelligence.

Degree: 2018, Universidade de Évora

 Uma empresa é uma forma de organização que pode ser vista como um sistema, e como tal, passível de ser representada através de um modelo… (more)

Subjects/Keywords: Arquitetura empresarial; Modelos de negócio; Processos de negócio; business intelligence; Metadados; Datalineage; Data discovery; Knowledge discovery; Knowledge management; Data governance; Ontologias; Ontology learning; Reasoning; Enterprise architecture; Business models; Business processes; Business intelligence; Metadata; Data lineage; Data discovery; Knowledge discovery; Knowledge management; Data governance; Ontologies; Ontology learning; Reasoning

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

APA (6th Edition):

Guimarães, F. J. R. S. (2018). Ontologias com suporte em metadados para interoperabilidade entre arquitetura empresarial e business intelligence. (Thesis). Universidade de Évora. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/23561

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):

Guimarães, Francisco José Rosales Santana. “Ontologias com suporte em metadados para interoperabilidade entre arquitetura empresarial e business intelligence.” 2018. Thesis, Universidade de Évora. Accessed August 13, 2020. https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/23561.

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

MLA Handbook (7th Edition):

Guimarães, Francisco José Rosales Santana. “Ontologias com suporte em metadados para interoperabilidade entre arquitetura empresarial e business intelligence.” 2018. Web. 13 Aug 2020.

Vancouver:

Guimarães FJRS. Ontologias com suporte em metadados para interoperabilidade entre arquitetura empresarial e business intelligence. [Internet] [Thesis]. Universidade de Évora; 2018. [cited 2020 Aug 13]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/23561.

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

Council of Science Editors:

Guimarães FJRS. Ontologias com suporte em metadados para interoperabilidade entre arquitetura empresarial e business intelligence. [Thesis]. Universidade de Évora; 2018. Available from: https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/23561

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


NSYSU

26. Li, Chia-En. Efficient Algorithms for Data Classification toward Knowledge Discovery based on Statistics and Decision Trees.

Degree: PhD, Computer Science and Engineering, 2018, NSYSU

Knowledge discovery in the database focuses upon methodologies for extracting useful information from collection of data. One of approaches for knowledge discovery is data mining.… (more)

Subjects/Keywords: Periodicity Mining; Knowledge Discovery; Decision Tree; Data Classification; Chi-Square Test

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

APA (6th Edition):

Li, C. (2018). Efficient Algorithms for Data Classification toward Knowledge Discovery based on Statistics and Decision Trees. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630118-172505

Chicago Manual of Style (16th Edition):

Li, Chia-En. “Efficient Algorithms for Data Classification toward Knowledge Discovery based on Statistics and Decision Trees.” 2018. Doctoral Dissertation, NSYSU. Accessed August 13, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630118-172505.

MLA Handbook (7th Edition):

Li, Chia-En. “Efficient Algorithms for Data Classification toward Knowledge Discovery based on Statistics and Decision Trees.” 2018. Web. 13 Aug 2020.

Vancouver:

Li C. Efficient Algorithms for Data Classification toward Knowledge Discovery based on Statistics and Decision Trees. [Internet] [Doctoral dissertation]. NSYSU; 2018. [cited 2020 Aug 13]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630118-172505.

Council of Science Editors:

Li C. Efficient Algorithms for Data Classification toward Knowledge Discovery based on Statistics and Decision Trees. [Doctoral Dissertation]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630118-172505

27. Mini U; Dr. K. Poulose Jacob. Mapping Information Diffusion through Social Computing for Knowledge Discovery.

Degree: 2018, Cochin University of Science and Technology

Subjects/Keywords: Social Media Mining; Knowledge Discovery

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

APA (6th Edition):

Jacob, M. U. D. K. P. (2018). Mapping Information Diffusion through Social Computing for Knowledge Discovery. (Thesis). Cochin University of Science and Technology. Retrieved from http://dyuthi.cusat.ac.in/purl/5450

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):

Jacob, Mini U; Dr. K. Poulose. “Mapping Information Diffusion through Social Computing for Knowledge Discovery.” 2018. Thesis, Cochin University of Science and Technology. Accessed August 13, 2020. http://dyuthi.cusat.ac.in/purl/5450.

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

MLA Handbook (7th Edition):

Jacob, Mini U; Dr. K. Poulose. “Mapping Information Diffusion through Social Computing for Knowledge Discovery.” 2018. Web. 13 Aug 2020.

Vancouver:

Jacob MUDKP. Mapping Information Diffusion through Social Computing for Knowledge Discovery. [Internet] [Thesis]. Cochin University of Science and Technology; 2018. [cited 2020 Aug 13]. Available from: http://dyuthi.cusat.ac.in/purl/5450.

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

Council of Science Editors:

Jacob MUDKP. Mapping Information Diffusion through Social Computing for Knowledge Discovery. [Thesis]. Cochin University of Science and Technology; 2018. Available from: http://dyuthi.cusat.ac.in/purl/5450

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


Tampere University

28. Habteselassie, Biruk. Application of knowledge discovery in databases : automating manual tasks .

Degree: 2016, Tampere University

 Businesses have large data stored in databases and data warehouses that is beyond the scope of traditional analysis methods. Knowledge discovery in databases (KDD) has… (more)

Subjects/Keywords: knowledge discovery in databases; data mining; business applications; automating manual tasks

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

APA (6th Edition):

Habteselassie, B. (2016). Application of knowledge discovery in databases : automating manual tasks . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/100399

Chicago Manual of Style (16th Edition):

Habteselassie, Biruk. “Application of knowledge discovery in databases : automating manual tasks .” 2016. Masters Thesis, Tampere University. Accessed August 13, 2020. https://trepo.tuni.fi/handle/10024/100399.

MLA Handbook (7th Edition):

Habteselassie, Biruk. “Application of knowledge discovery in databases : automating manual tasks .” 2016. Web. 13 Aug 2020.

Vancouver:

Habteselassie B. Application of knowledge discovery in databases : automating manual tasks . [Internet] [Masters thesis]. Tampere University; 2016. [cited 2020 Aug 13]. Available from: https://trepo.tuni.fi/handle/10024/100399.

Council of Science Editors:

Habteselassie B. Application of knowledge discovery in databases : automating manual tasks . [Masters Thesis]. Tampere University; 2016. Available from: https://trepo.tuni.fi/handle/10024/100399


Open Universiteit Nederland

29. de Jong, K. (Kevin). Towards effective Agile Data Science.

Degree: Master, Department Information Science and Business Processes, 2019, Open Universiteit Nederland

 Despite emerging possibilities to gain value from Knowledge Discovery, organizations are starting Data Science project that have a little chance of success, as current failure… (more)

Subjects/Keywords: DataOps; Design Science Research; Data Science; Agile,; Methodology; Knowledge Discovery; DevOps

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

APA (6th Edition):

de Jong, K. (. (2019). Towards effective Agile Data Science. (Masters Thesis). Open Universiteit Nederland. Retrieved from http://hdl.handle.net/1820/7108a95b-0be2-4680-a3cd-b0dfd7e1e097

Chicago Manual of Style (16th Edition):

de Jong, K (Kevin). “Towards effective Agile Data Science.” 2019. Masters Thesis, Open Universiteit Nederland. Accessed August 13, 2020. http://hdl.handle.net/1820/7108a95b-0be2-4680-a3cd-b0dfd7e1e097.

MLA Handbook (7th Edition):

de Jong, K (Kevin). “Towards effective Agile Data Science.” 2019. Web. 13 Aug 2020.

Vancouver:

de Jong K(. Towards effective Agile Data Science. [Internet] [Masters thesis]. Open Universiteit Nederland; 2019. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1820/7108a95b-0be2-4680-a3cd-b0dfd7e1e097.

Council of Science Editors:

de Jong K(. Towards effective Agile Data Science. [Masters Thesis]. Open Universiteit Nederland; 2019. Available from: http://hdl.handle.net/1820/7108a95b-0be2-4680-a3cd-b0dfd7e1e097


Open Universiteit Nederland

30. Blasweiler, M.C. (Mariska). Incorporation of succesful Agile elements in Data Science Development processes: How a possible model is perceived by experts.

Degree: Master, Department Information Science and Business Processes, 2019, Open Universiteit Nederland

 This research gives answer to the research question How to incorporate the Agile methodology into Data Science projects to gain flexibility? To get this answer… (more)

Subjects/Keywords: SCRUM; KANBAN; Data Science process; Knowledge Discovery; Agile

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

APA (6th Edition):

Blasweiler, M. C. (. (2019). Incorporation of succesful Agile elements in Data Science Development processes: How a possible model is perceived by experts. (Masters Thesis). Open Universiteit Nederland. Retrieved from http://hdl.handle.net/1820/b9ac5607-9996-4182-8de4-e367d42bec0e

Chicago Manual of Style (16th Edition):

Blasweiler, M C (Mariska). “Incorporation of succesful Agile elements in Data Science Development processes: How a possible model is perceived by experts.” 2019. Masters Thesis, Open Universiteit Nederland. Accessed August 13, 2020. http://hdl.handle.net/1820/b9ac5607-9996-4182-8de4-e367d42bec0e.

MLA Handbook (7th Edition):

Blasweiler, M C (Mariska). “Incorporation of succesful Agile elements in Data Science Development processes: How a possible model is perceived by experts.” 2019. Web. 13 Aug 2020.

Vancouver:

Blasweiler MC(. Incorporation of succesful Agile elements in Data Science Development processes: How a possible model is perceived by experts. [Internet] [Masters thesis]. Open Universiteit Nederland; 2019. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1820/b9ac5607-9996-4182-8de4-e367d42bec0e.

Council of Science Editors:

Blasweiler MC(. Incorporation of succesful Agile elements in Data Science Development processes: How a possible model is perceived by experts. [Masters Thesis]. Open Universiteit Nederland; 2019. Available from: http://hdl.handle.net/1820/b9ac5607-9996-4182-8de4-e367d42bec0e

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