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University: Queensland University of Technology

You searched for subject:(Feature selection). Showing records 1 – 10 of 10 total matches.

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Queensland University of Technology

1. Albathan, Mubarak Murdi M. Enhancement of relevant features for text mining.

Degree: 2015, Queensland University of Technology

 With the explosion of information resources, there is an imminent need to understand interesting text features or topics in massive text information. This thesis proposes… (more)

Subjects/Keywords: Text Mining; Feature Selection; Information retrieval; Data Mining; pattern mining

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

APA (6th Edition):

Albathan, M. M. M. (2015). Enhancement of relevant features for text mining. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/90072/

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):

Albathan, Mubarak Murdi M. “Enhancement of relevant features for text mining.” 2015. Thesis, Queensland University of Technology. Accessed June 20, 2019. https://eprints.qut.edu.au/90072/.

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

MLA Handbook (7th Edition):

Albathan, Mubarak Murdi M. “Enhancement of relevant features for text mining.” 2015. Web. 20 Jun 2019.

Vancouver:

Albathan MMM. Enhancement of relevant features for text mining. [Internet] [Thesis]. Queensland University of Technology; 2015. [cited 2019 Jun 20]. Available from: https://eprints.qut.edu.au/90072/.

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

Council of Science Editors:

Albathan MMM. Enhancement of relevant features for text mining. [Thesis]. Queensland University of Technology; 2015. Available from: https://eprints.qut.edu.au/90072/

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


Queensland University of Technology

2. Tian, Nan. Feature taxonomy learning from user generated content and application in review selection.

Degree: 2016, Queensland University of Technology

 This thesis developed new methods to find useful information from massive customer generated product review data in order to assist customers in decision making. It… (more)

Subjects/Keywords: Opinion Mining; Sentiment Analysis; Pattern Mining; Association Rules; Product Feature Taxonomy; Feature Extraction; Review Quality; Review Selection

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

APA (6th Edition):

Tian, N. (2016). Feature taxonomy learning from user generated content and application in review selection. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/101169/

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):

Tian, Nan. “Feature taxonomy learning from user generated content and application in review selection.” 2016. Thesis, Queensland University of Technology. Accessed June 20, 2019. https://eprints.qut.edu.au/101169/.

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

MLA Handbook (7th Edition):

Tian, Nan. “Feature taxonomy learning from user generated content and application in review selection.” 2016. Web. 20 Jun 2019.

Vancouver:

Tian N. Feature taxonomy learning from user generated content and application in review selection. [Internet] [Thesis]. Queensland University of Technology; 2016. [cited 2019 Jun 20]. Available from: https://eprints.qut.edu.au/101169/.

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

Council of Science Editors:

Tian N. Feature taxonomy learning from user generated content and application in review selection. [Thesis]. Queensland University of Technology; 2016. Available from: https://eprints.qut.edu.au/101169/

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


Queensland University of Technology

3. Ge, Esther. The query based learning system for lifetime prediction of metallic components.

Degree: 2008, Queensland University of Technology

 This research project was a step forward in developing an efficient data mining method for estimating the service life of metallic components in Queensland school… (more)

Subjects/Keywords: data mining; learning system; predictive model; lifetime prediction; corrosion prediction; feature selection; civil engineering

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

APA (6th Edition):

Ge, E. (2008). The query based learning system for lifetime prediction of metallic components. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/18345/

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):

Ge, Esther. “The query based learning system for lifetime prediction of metallic components.” 2008. Thesis, Queensland University of Technology. Accessed June 20, 2019. https://eprints.qut.edu.au/18345/.

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

MLA Handbook (7th Edition):

Ge, Esther. “The query based learning system for lifetime prediction of metallic components.” 2008. Web. 20 Jun 2019.

Vancouver:

Ge E. The query based learning system for lifetime prediction of metallic components. [Internet] [Thesis]. Queensland University of Technology; 2008. [cited 2019 Jun 20]. Available from: https://eprints.qut.edu.au/18345/.

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

Council of Science Editors:

Ge E. The query based learning system for lifetime prediction of metallic components. [Thesis]. Queensland University of Technology; 2008. Available from: https://eprints.qut.edu.au/18345/

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


Queensland University of Technology

4. Zhang, Ligang. Towards spontaneous facial expression recognition in real-world video.

Degree: 2012, Queensland University of Technology

 Facial expression is an important channel of human social communication. Facial expression recognition (FER) aims to perceive and understand emotional states of humans based on… (more)

Subjects/Keywords: facial expression recognition; texture; geometry; feature fusion; posed; spontaneous; discrete; dimensional; feature selection; active shape model; adaboost; minimal redundancy maximal relevance criterion; support vector machine

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

APA (6th Edition):

Zhang, L. (2012). Towards spontaneous facial expression recognition in real-world video. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/53199/

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):

Zhang, Ligang. “Towards spontaneous facial expression recognition in real-world video.” 2012. Thesis, Queensland University of Technology. Accessed June 20, 2019. https://eprints.qut.edu.au/53199/.

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

MLA Handbook (7th Edition):

Zhang, Ligang. “Towards spontaneous facial expression recognition in real-world video.” 2012. Web. 20 Jun 2019.

Vancouver:

Zhang L. Towards spontaneous facial expression recognition in real-world video. [Internet] [Thesis]. Queensland University of Technology; 2012. [cited 2019 Jun 20]. Available from: https://eprints.qut.edu.au/53199/.

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

Council of Science Editors:

Zhang L. Towards spontaneous facial expression recognition in real-world video. [Thesis]. Queensland University of Technology; 2012. Available from: https://eprints.qut.edu.au/53199/

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


Queensland University of Technology

5. Alsolami, Eesa. An examination of keystroke dynamics for continuous user authentication.

Degree: 2012, Queensland University of Technology

 Most current computer systems authorise the user at the start of a session and do not detect whether the current user is still the initial… (more)

Subjects/Keywords: continuous biometric authentication; continuous authentication system; user-independent; threshold; keystroke dynamics; user typing behavior; feature selection

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

APA (6th Edition):

Alsolami, E. (2012). An examination of keystroke dynamics for continuous user authentication. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/54730/

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):

Alsolami, Eesa. “An examination of keystroke dynamics for continuous user authentication.” 2012. Thesis, Queensland University of Technology. Accessed June 20, 2019. https://eprints.qut.edu.au/54730/.

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

MLA Handbook (7th Edition):

Alsolami, Eesa. “An examination of keystroke dynamics for continuous user authentication.” 2012. Web. 20 Jun 2019.

Vancouver:

Alsolami E. An examination of keystroke dynamics for continuous user authentication. [Internet] [Thesis]. Queensland University of Technology; 2012. [cited 2019 Jun 20]. Available from: https://eprints.qut.edu.au/54730/.

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

Council of Science Editors:

Alsolami E. An examination of keystroke dynamics for continuous user authentication. [Thesis]. Queensland University of Technology; 2012. Available from: https://eprints.qut.edu.au/54730/

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


Queensland University of Technology

6. Pitt, Ellen Alexandra. Application of data mining techniques in the prediction of coronary artery disease : use of anaesthesia time-series and patient risk factor data.

Degree: 2009, Queensland University of Technology

 The high morbidity and mortality associated with atherosclerotic coronary vascular disease (CVD) and its complications are being lessened by the increased knowledge of risk factors,… (more)

Subjects/Keywords: anaesthesia; physiological data; time-series; clustering; feature selection; predictors of outcome; anaesthesia complications; cardiac risk factors; data mining

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

APA (6th Edition):

Pitt, E. A. (2009). Application of data mining techniques in the prediction of coronary artery disease : use of anaesthesia time-series and patient risk factor data. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/34427/

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):

Pitt, Ellen Alexandra. “Application of data mining techniques in the prediction of coronary artery disease : use of anaesthesia time-series and patient risk factor data.” 2009. Thesis, Queensland University of Technology. Accessed June 20, 2019. https://eprints.qut.edu.au/34427/.

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

MLA Handbook (7th Edition):

Pitt, Ellen Alexandra. “Application of data mining techniques in the prediction of coronary artery disease : use of anaesthesia time-series and patient risk factor data.” 2009. Web. 20 Jun 2019.

Vancouver:

Pitt EA. Application of data mining techniques in the prediction of coronary artery disease : use of anaesthesia time-series and patient risk factor data. [Internet] [Thesis]. Queensland University of Technology; 2009. [cited 2019 Jun 20]. Available from: https://eprints.qut.edu.au/34427/.

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

Council of Science Editors:

Pitt EA. Application of data mining techniques in the prediction of coronary artery disease : use of anaesthesia time-series and patient risk factor data. [Thesis]. Queensland University of Technology; 2009. Available from: https://eprints.qut.edu.au/34427/

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


Queensland University of Technology

7. Algarni, Abdulmohsen. Relevance feature discovery for text analysis.

Degree: 2011, Queensland University of Technology

 It is a big challenge to guarantee the quality of discovered relevance features in text documents for describing user preferences because of the large number… (more)

Subjects/Keywords: feature selection; pattern taxonomy model; information retrieval; text mining; data mining; association rules; sequential pattern mining; closed sequential patterns; pattern deploying; pattern evolving; offender selection; weight revision

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

APA (6th Edition):

Algarni, A. (2011). Relevance feature discovery for text analysis. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/48230/

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):

Algarni, Abdulmohsen. “Relevance feature discovery for text analysis.” 2011. Thesis, Queensland University of Technology. Accessed June 20, 2019. https://eprints.qut.edu.au/48230/.

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

MLA Handbook (7th Edition):

Algarni, Abdulmohsen. “Relevance feature discovery for text analysis.” 2011. Web. 20 Jun 2019.

Vancouver:

Algarni A. Relevance feature discovery for text analysis. [Internet] [Thesis]. Queensland University of Technology; 2011. [cited 2019 Jun 20]. Available from: https://eprints.qut.edu.au/48230/.

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

Council of Science Editors:

Algarni A. Relevance feature discovery for text analysis. [Thesis]. Queensland University of Technology; 2011. Available from: https://eprints.qut.edu.au/48230/

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


Queensland University of Technology

8. Liu, Xiaofeng. Machinery fault diagnostics based on fuzzy measure and fuzzy integral data fusion techniques.

Degree: 2007, Queensland University of Technology

 With growing demands for reliability, availability, safety and cost efficiency in modern machinery, accurate fault diagnosis is becoming of paramount importance so that potential failures… (more)

Subjects/Keywords: condition monitoring; fault diagnosis; fuzzy measures; fuzzy integrals; fuzzy c-means clustering; membership degree; feature selection; feature level data fusion; decision level data fusion

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

APA (6th Edition):

Liu, X. (2007). Machinery fault diagnostics based on fuzzy measure and fuzzy integral data fusion techniques. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/16456/

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

Chicago Manual of Style (16th Edition):

Liu, Xiaofeng. “Machinery fault diagnostics based on fuzzy measure and fuzzy integral data fusion techniques.” 2007. Thesis, Queensland University of Technology. Accessed June 20, 2019. https://eprints.qut.edu.au/16456/.

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

MLA Handbook (7th Edition):

Liu, Xiaofeng. “Machinery fault diagnostics based on fuzzy measure and fuzzy integral data fusion techniques.” 2007. Web. 20 Jun 2019.

Vancouver:

Liu X. Machinery fault diagnostics based on fuzzy measure and fuzzy integral data fusion techniques. [Internet] [Thesis]. Queensland University of Technology; 2007. [cited 2019 Jun 20]. Available from: https://eprints.qut.edu.au/16456/.

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

Council of Science Editors:

Liu X. Machinery fault diagnostics based on fuzzy measure and fuzzy integral data fusion techniques. [Thesis]. Queensland University of Technology; 2007. Available from: https://eprints.qut.edu.au/16456/

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


Queensland University of Technology

9. Zarjam, Peggy. EEG Data acquisition and automatic seizure detection using wavelet transforms in the newborn EEG.

Degree: 2003, Queensland University of Technology

 This thesis deals with the problem of newborn seizre detection from the Electroencephalogram (EEG) signals. The ultimate goal is to design an automated seizure detection… (more)

Subjects/Keywords: electroencephalogram; seizure; newborn; detection; classification; time; frequency; scale; signals; automatic; discrete; wavelet; seizure detection rate; false alarm rate; non-seizure detection rate; optimisation; mutual information; mutual information evaluation function; mutual information feature selection; decomposition; level; wavelet coefficients; detail components; approximate components; classifier; feature extraction; Daubechies; artificial neural network

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

APA (6th Edition):

Zarjam, P. (2003). EEG Data acquisition and automatic seizure detection using wavelet transforms in the newborn EEG. (Thesis). Queensland University of Technology. Retrieved from http://eprints.qut.edu.au/15795/

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):

Zarjam, Peggy. “EEG Data acquisition and automatic seizure detection using wavelet transforms in the newborn EEG.” 2003. Thesis, Queensland University of Technology. Accessed June 20, 2019. http://eprints.qut.edu.au/15795/.

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

MLA Handbook (7th Edition):

Zarjam, Peggy. “EEG Data acquisition and automatic seizure detection using wavelet transforms in the newborn EEG.” 2003. Web. 20 Jun 2019.

Vancouver:

Zarjam P. EEG Data acquisition and automatic seizure detection using wavelet transforms in the newborn EEG. [Internet] [Thesis]. Queensland University of Technology; 2003. [cited 2019 Jun 20]. Available from: http://eprints.qut.edu.au/15795/.

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

Council of Science Editors:

Zarjam P. EEG Data acquisition and automatic seizure detection using wavelet transforms in the newborn EEG. [Thesis]. Queensland University of Technology; 2003. Available from: http://eprints.qut.edu.au/15795/

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


Queensland University of Technology

10. Al-Ani, Ahmed Karim. An improved pattern classification system using optimal feature selection, classifier combination, and subspace mapping techniques.

Degree: 2002, Queensland University of Technology

Subjects/Keywords: Pattern recognition systems; pattern classification; feature selection; dimensionality reduction; classifier combination; expert fusion; subspace mapping; multi-channel processing; information theory; mutual information; Demster-Schafer theory of evidence; belief function; hybrid information maximization (HIM); texture classification; speaker identification; EEG processing; thesis; doctoral

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

APA (6th Edition):

Al-Ani, A. K. (2002). An improved pattern classification system using optimal feature selection, classifier combination, and subspace mapping techniques. (Thesis). Queensland University of Technology. Retrieved from http://eprints.qut.edu.au/36169/

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):

Al-Ani, Ahmed Karim. “An improved pattern classification system using optimal feature selection, classifier combination, and subspace mapping techniques.” 2002. Thesis, Queensland University of Technology. Accessed June 20, 2019. http://eprints.qut.edu.au/36169/.

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

MLA Handbook (7th Edition):

Al-Ani, Ahmed Karim. “An improved pattern classification system using optimal feature selection, classifier combination, and subspace mapping techniques.” 2002. Web. 20 Jun 2019.

Vancouver:

Al-Ani AK. An improved pattern classification system using optimal feature selection, classifier combination, and subspace mapping techniques. [Internet] [Thesis]. Queensland University of Technology; 2002. [cited 2019 Jun 20]. Available from: http://eprints.qut.edu.au/36169/.

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

Council of Science Editors:

Al-Ani AK. An improved pattern classification system using optimal feature selection, classifier combination, and subspace mapping techniques. [Thesis]. Queensland University of Technology; 2002. Available from: http://eprints.qut.edu.au/36169/

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

.