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You searched for +publisher:"Deakin University" +contributor:("Li, Gang"). Showing records 1 – 4 of 4 total matches.

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Deakin University

1. Ren, Yongli. Intelligent techniques for recommender systems.

Degree: School of Information Technology, 2013, Deakin University

 This thesis focuses on the data sparsity issue and the temporal dynamic issue in the context of collaborative filtering, and addresses them with imputation techniques,… (more)

Subjects/Keywords: Recommender systems; Collaborative filtering; Imputation techniques; Low-rank subspace techniques; Optimizations techniques; Rating pattern subspace

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

APA (6th Edition):

Ren, Y. (2013). Intelligent techniques for recommender systems. (Thesis). Deakin University. Retrieved from http://hdl.handle.net/10536/DRO/DU:30062528

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):

Ren, Yongli. “Intelligent techniques for recommender systems.” 2013. Thesis, Deakin University. Accessed July 15, 2019. http://hdl.handle.net/10536/DRO/DU:30062528.

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

MLA Handbook (7th Edition):

Ren, Yongli. “Intelligent techniques for recommender systems.” 2013. Web. 15 Jul 2019.

Vancouver:

Ren Y. Intelligent techniques for recommender systems. [Internet] [Thesis]. Deakin University; 2013. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/10536/DRO/DU:30062528.

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

Council of Science Editors:

Ren Y. Intelligent techniques for recommender systems. [Thesis]. Deakin University; 2013. Available from: http://hdl.handle.net/10536/DRO/DU:30062528

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


Deakin University

2. Vu, Huy Quan. Preference mining techniques for customer behavior analysis.

Degree: School of Information Technology, 2014, Deakin University

 The thesis has studied a number of critical problems in data mining for customer behavior analysis and has proposed novel techniques for better modeling of… (more)

Subjects/Keywords: customer preference; customer behavior; decision making modelling; travel behavior; data mining; data analysis

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

APA (6th Edition):

Vu, H. Q. (2014). Preference mining techniques for customer behavior analysis. (Thesis). Deakin University. Retrieved from http://hdl.handle.net/10536/DRO/DU:30072995

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):

Vu, Huy Quan. “Preference mining techniques for customer behavior analysis.” 2014. Thesis, Deakin University. Accessed July 15, 2019. http://hdl.handle.net/10536/DRO/DU:30072995.

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

MLA Handbook (7th Edition):

Vu, Huy Quan. “Preference mining techniques for customer behavior analysis.” 2014. Web. 15 Jul 2019.

Vancouver:

Vu HQ. Preference mining techniques for customer behavior analysis. [Internet] [Thesis]. Deakin University; 2014. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/10536/DRO/DU:30072995.

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

Council of Science Editors:

Vu HQ. Preference mining techniques for customer behavior analysis. [Thesis]. Deakin University; 2014. Available from: http://hdl.handle.net/10536/DRO/DU:30072995

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


Deakin University

3. Tissera, Warnakulasuriya Menik Randi. Information discovery in multi-dimensional autonomous wireless sensor networks.

Degree: 2015, Deakin University

  The thesis proposed four novel algorithms of information discovery for Multidimensional Autonomous Wireless Sensor Networks (WSNs) that can significantly increase network lifetime and minimize query… (more)

Subjects/Keywords: wireless sensor networks (WSNs); information discovery

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

APA (6th Edition):

Tissera, W. M. R. (2015). Information discovery in multi-dimensional autonomous wireless sensor networks. (Thesis). Deakin University. Retrieved from http://hdl.handle.net/10536/DRO/DU:30079021

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):

Tissera, Warnakulasuriya Menik Randi. “Information discovery in multi-dimensional autonomous wireless sensor networks.” 2015. Thesis, Deakin University. Accessed July 15, 2019. http://hdl.handle.net/10536/DRO/DU:30079021.

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

MLA Handbook (7th Edition):

Tissera, Warnakulasuriya Menik Randi. “Information discovery in multi-dimensional autonomous wireless sensor networks.” 2015. Web. 15 Jul 2019.

Vancouver:

Tissera WMR. Information discovery in multi-dimensional autonomous wireless sensor networks. [Internet] [Thesis]. Deakin University; 2015. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/10536/DRO/DU:30079021.

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

Council of Science Editors:

Tissera WMR. Information discovery in multi-dimensional autonomous wireless sensor networks. [Thesis]. Deakin University; 2015. Available from: http://hdl.handle.net/10536/DRO/DU:30079021

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


Deakin University

4. Liu, Shaowu. Relative preference-based recommender systems.

Degree: School of Information Technology, 2016, Deakin University

 This study investigates the problem of making recommendations to users, such as recommending a movie. Several novel models are proposed to make accurate recommendations by… (more)

Subjects/Keywords: Computing; Preference Relation; Data sets; Data manipulation; Web 2.0

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Liu, S. (2016). Relative preference-based recommender systems. (Thesis). Deakin University. Retrieved from http://hdl.handle.net/10536/DRO/DU:30088962

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, Shaowu. “Relative preference-based recommender systems.” 2016. Thesis, Deakin University. Accessed July 15, 2019. http://hdl.handle.net/10536/DRO/DU:30088962.

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

MLA Handbook (7th Edition):

Liu, Shaowu. “Relative preference-based recommender systems.” 2016. Web. 15 Jul 2019.

Vancouver:

Liu S. Relative preference-based recommender systems. [Internet] [Thesis]. Deakin University; 2016. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/10536/DRO/DU:30088962.

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

Council of Science Editors:

Liu S. Relative preference-based recommender systems. [Thesis]. Deakin University; 2016. Available from: http://hdl.handle.net/10536/DRO/DU:30088962

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

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