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You searched for subject:(Social Machine). Showing records 1 – 30 of 221 total matches.

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Texas A&M University

1. Thothathri, Visvanathan. MAFIA: Malicious Facebook Page Identification.

Degree: 2016, Texas A&M University

 Facebook has been a host to many different attack vectors, such as malicious apps that use their permissions to spread malware and compromise user accounts… (more)

Subjects/Keywords: Security; Social Networks; Facebook; Machine Learning

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

APA (6th Edition):

Thothathri, V. (2016). MAFIA: Malicious Facebook Page Identification. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158701

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):

Thothathri, Visvanathan. “MAFIA: Malicious Facebook Page Identification.” 2016. Thesis, Texas A&M University. Accessed August 18, 2019. http://hdl.handle.net/1969.1/158701.

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

MLA Handbook (7th Edition):

Thothathri, Visvanathan. “MAFIA: Malicious Facebook Page Identification.” 2016. Web. 18 Aug 2019.

Vancouver:

Thothathri V. MAFIA: Malicious Facebook Page Identification. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1969.1/158701.

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

Council of Science Editors:

Thothathri V. MAFIA: Malicious Facebook Page Identification. [Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158701

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


Penn State University

2. Zhang, Lei. ANGEL: A HYBRID CONTENT-BASED FILTERING TOOL FOR PROTECTING TEENS’ SAFETY IN ONLINE SOCIAL NETWORK.

Degree: MS, Computer Science and Engineering, 2008, Penn State University

 Since its emergence in 1997 [1] , online social networks have experienced dramatic evolution and played an increasingly important role in our life. With the… (more)

Subjects/Keywords: Teens ;

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APA (6th Edition):

Zhang, L. (2008). ANGEL: A HYBRID CONTENT-BASED FILTERING TOOL FOR PROTECTING TEENS’ SAFETY IN ONLINE SOCIAL NETWORK. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9005

Chicago Manual of Style (16th Edition):

Zhang, Lei. “ANGEL: A HYBRID CONTENT-BASED FILTERING TOOL FOR PROTECTING TEENS’ SAFETY IN ONLINE SOCIAL NETWORK.” 2008. Masters Thesis, Penn State University. Accessed August 18, 2019. https://etda.libraries.psu.edu/catalog/9005.

MLA Handbook (7th Edition):

Zhang, Lei. “ANGEL: A HYBRID CONTENT-BASED FILTERING TOOL FOR PROTECTING TEENS’ SAFETY IN ONLINE SOCIAL NETWORK.” 2008. Web. 18 Aug 2019.

Vancouver:

Zhang L. ANGEL: A HYBRID CONTENT-BASED FILTERING TOOL FOR PROTECTING TEENS’ SAFETY IN ONLINE SOCIAL NETWORK. [Internet] [Masters thesis]. Penn State University; 2008. [cited 2019 Aug 18]. Available from: https://etda.libraries.psu.edu/catalog/9005.

Council of Science Editors:

Zhang L. ANGEL: A HYBRID CONTENT-BASED FILTERING TOOL FOR PROTECTING TEENS’ SAFETY IN ONLINE SOCIAL NETWORK. [Masters Thesis]. Penn State University; 2008. Available from: https://etda.libraries.psu.edu/catalog/9005


Virginia Tech

3. Straub, Kayla Marie. Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure.

Degree: MS, Electrical and Computer Engineering, 2016, Virginia Tech

 Email correspondence has become the predominant method of communication for businesses. If not for the inherent privacy concerns, this electronically searchable data could be used… (more)

Subjects/Keywords: Data analytics; machine learning; social computing

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APA (6th Edition):

Straub, K. M. (2016). Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71320

Chicago Manual of Style (16th Edition):

Straub, Kayla Marie. “Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure.” 2016. Masters Thesis, Virginia Tech. Accessed August 18, 2019. http://hdl.handle.net/10919/71320.

MLA Handbook (7th Edition):

Straub, Kayla Marie. “Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure.” 2016. Web. 18 Aug 2019.

Vancouver:

Straub KM. Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10919/71320.

Council of Science Editors:

Straub KM. Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71320


University of Ottawa

4. Ji, Liu. A Location-Aware Social Media Monitoring System .

Degree: 2014, University of Ottawa

Social media users generate a large volume of data, which can contain meaningful and useful information. One such example is information about locations, which may… (more)

Subjects/Keywords: Natural Language Processing; Machine Learning; Social Media

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APA (6th Edition):

Ji, L. (2014). A Location-Aware Social Media Monitoring System . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/31816

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):

Ji, Liu. “A Location-Aware Social Media Monitoring System .” 2014. Thesis, University of Ottawa. Accessed August 18, 2019. http://hdl.handle.net/10393/31816.

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

MLA Handbook (7th Edition):

Ji, Liu. “A Location-Aware Social Media Monitoring System .” 2014. Web. 18 Aug 2019.

Vancouver:

Ji L. A Location-Aware Social Media Monitoring System . [Internet] [Thesis]. University of Ottawa; 2014. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10393/31816.

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

Council of Science Editors:

Ji L. A Location-Aware Social Media Monitoring System . [Thesis]. University of Ottawa; 2014. Available from: http://hdl.handle.net/10393/31816

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


University of Connecticut

5. McClanahan, Brian D. Location Inference of Social Media Posts at Hyper-Local Scale.

Degree: MS, Computer Science and Engineering, 2016, University of Connecticut

  This paper describes an approach to infer the location of a social media post at a hyper-local scale based on its content, conditional to… (more)

Subjects/Keywords: social media; feature selection; machine learning

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APA (6th Edition):

McClanahan, B. D. (2016). Location Inference of Social Media Posts at Hyper-Local Scale. (Masters Thesis). University of Connecticut. Retrieved from https://opencommons.uconn.edu/gs_theses/949

Chicago Manual of Style (16th Edition):

McClanahan, Brian D. “Location Inference of Social Media Posts at Hyper-Local Scale.” 2016. Masters Thesis, University of Connecticut. Accessed August 18, 2019. https://opencommons.uconn.edu/gs_theses/949.

MLA Handbook (7th Edition):

McClanahan, Brian D. “Location Inference of Social Media Posts at Hyper-Local Scale.” 2016. Web. 18 Aug 2019.

Vancouver:

McClanahan BD. Location Inference of Social Media Posts at Hyper-Local Scale. [Internet] [Masters thesis]. University of Connecticut; 2016. [cited 2019 Aug 18]. Available from: https://opencommons.uconn.edu/gs_theses/949.

Council of Science Editors:

McClanahan BD. Location Inference of Social Media Posts at Hyper-Local Scale. [Masters Thesis]. University of Connecticut; 2016. Available from: https://opencommons.uconn.edu/gs_theses/949


Northeastern University

6. Wang, Shuyang. Face representation learning and its applications on social media.

Degree: PhD, Department of Electrical and Computer Engineering, 2018, Northeastern University

 Learning and extracting good feature representations for face images is always a hot topic in machine learning field, especially in this era of social media… (more)

Subjects/Keywords: feature learning; machine learning; social media

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APA (6th Edition):

Wang, S. (2018). Face representation learning and its applications on social media. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20287864

Chicago Manual of Style (16th Edition):

Wang, Shuyang. “Face representation learning and its applications on social media.” 2018. Doctoral Dissertation, Northeastern University. Accessed August 18, 2019. http://hdl.handle.net/2047/D20287864.

MLA Handbook (7th Edition):

Wang, Shuyang. “Face representation learning and its applications on social media.” 2018. Web. 18 Aug 2019.

Vancouver:

Wang S. Face representation learning and its applications on social media. [Internet] [Doctoral dissertation]. Northeastern University; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/2047/D20287864.

Council of Science Editors:

Wang S. Face representation learning and its applications on social media. [Doctoral Dissertation]. Northeastern University; 2018. Available from: http://hdl.handle.net/2047/D20287864


NSYSU

7. Su, Qun-kai. Malicious URL Detection in Social Network.

Degree: Master, Computer Science and Engineering, 2011, NSYSU

Social network web sites become very popular nowadays. Users can establish connections with other users forming a social network, and quickly share information, photographs, and… (more)

Subjects/Keywords: Malware; Machine learning; Malicious URL; Social network; Social Engineering

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APA (6th Edition):

Su, Q. (2011). Malicious URL Detection in Social Network. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0815111-155110

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):

Su, Qun-kai. “Malicious URL Detection in Social Network.” 2011. Thesis, NSYSU. Accessed August 18, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0815111-155110.

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

MLA Handbook (7th Edition):

Su, Qun-kai. “Malicious URL Detection in Social Network.” 2011. Web. 18 Aug 2019.

Vancouver:

Su Q. Malicious URL Detection in Social Network. [Internet] [Thesis]. NSYSU; 2011. [cited 2019 Aug 18]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0815111-155110.

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

Council of Science Editors:

Su Q. Malicious URL Detection in Social Network. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0815111-155110

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


University of California – San Diego

8. Kalyanam, Janani. Machine Learning and Applications on Social Media Data.

Degree: Electrical Engineering (Intelsys, Robotics and Cont), 2017, University of California – San Diego

 The emergence of social media and advances in mobile technology and internethas resulted in constant connectivity across users enabling them to post, share, and engage… (more)

Subjects/Keywords: Electrical engineering; data science; machine learning; social media; social networks

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

APA (6th Edition):

Kalyanam, J. (2017). Machine Learning and Applications on Social Media Data. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/6545w71z

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):

Kalyanam, Janani. “Machine Learning and Applications on Social Media Data.” 2017. Thesis, University of California – San Diego. Accessed August 18, 2019. http://www.escholarship.org/uc/item/6545w71z.

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

MLA Handbook (7th Edition):

Kalyanam, Janani. “Machine Learning and Applications on Social Media Data.” 2017. Web. 18 Aug 2019.

Vancouver:

Kalyanam J. Machine Learning and Applications on Social Media Data. [Internet] [Thesis]. University of California – San Diego; 2017. [cited 2019 Aug 18]. Available from: http://www.escholarship.org/uc/item/6545w71z.

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

Council of Science Editors:

Kalyanam J. Machine Learning and Applications on Social Media Data. [Thesis]. University of California – San Diego; 2017. Available from: http://www.escholarship.org/uc/item/6545w71z

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


University of Southern California

9. Plangprasopchok, Anon. Statistical approaches for inferring category knowledge from social annotation.

Degree: PhD, Computer Science, 2010, University of Southern California

Social annotation captures the collective knowledge of thousands of users and can potentially be used to enhance an array of applications including Web search, information… (more)

Subjects/Keywords: clustering; data mining; folksonomy; machine learning; social annotation; social information processing

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

APA (6th Edition):

Plangprasopchok, A. (2010). Statistical approaches for inferring category knowledge from social annotation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/390663/rec/6040

Chicago Manual of Style (16th Edition):

Plangprasopchok, Anon. “Statistical approaches for inferring category knowledge from social annotation.” 2010. Doctoral Dissertation, University of Southern California. Accessed August 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/390663/rec/6040.

MLA Handbook (7th Edition):

Plangprasopchok, Anon. “Statistical approaches for inferring category knowledge from social annotation.” 2010. Web. 18 Aug 2019.

Vancouver:

Plangprasopchok A. Statistical approaches for inferring category knowledge from social annotation. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Aug 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/390663/rec/6040.

Council of Science Editors:

Plangprasopchok A. Statistical approaches for inferring category knowledge from social annotation. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/390663/rec/6040


University of Waterloo

10. Doucette, John Anthony Erskine. Social Choice for Partial Preferences Using Imputation.

Degree: 2016, University of Waterloo

 Within the field of multiagent systems, the area of computational social choice considers the problems arising when decisions must be made collectively by a group… (more)

Subjects/Keywords: Social Choice Theory; Artificial Intelligence; Machine Learning; Computational Social Choice

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APA (6th Edition):

Doucette, J. A. E. (2016). Social Choice for Partial Preferences Using Imputation. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10564

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):

Doucette, John Anthony Erskine. “Social Choice for Partial Preferences Using Imputation.” 2016. Thesis, University of Waterloo. Accessed August 18, 2019. http://hdl.handle.net/10012/10564.

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

MLA Handbook (7th Edition):

Doucette, John Anthony Erskine. “Social Choice for Partial Preferences Using Imputation.” 2016. Web. 18 Aug 2019.

Vancouver:

Doucette JAE. Social Choice for Partial Preferences Using Imputation. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10012/10564.

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

Council of Science Editors:

Doucette JAE. Social Choice for Partial Preferences Using Imputation. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10564

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

11. REHMAT, BADDAR. Ticket Vending Machine for the Visually Impaired Persons.

Degree: Business and IT, 2011, University of Borås

  In the field of technology, every day new inventions are introduced in the society for promotion human beings life. By virtue of which all… (more)

Subjects/Keywords: visually impaired people; user-centered design; human-computer interaction; ticket vending machine or ticketing machine or ticket booking machine; ticket reservation machine; user interface; usability; Social Sciences; Samhällsvetenskap

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APA (6th Edition):

REHMAT, B. (2011). Ticket Vending Machine for the Visually Impaired Persons. (Thesis). University of Borås. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20446

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):

REHMAT, BADDAR. “Ticket Vending Machine for the Visually Impaired Persons.” 2011. Thesis, University of Borås. Accessed August 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20446.

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

MLA Handbook (7th Edition):

REHMAT, BADDAR. “Ticket Vending Machine for the Visually Impaired Persons.” 2011. Web. 18 Aug 2019.

Vancouver:

REHMAT B. Ticket Vending Machine for the Visually Impaired Persons. [Internet] [Thesis]. University of Borås; 2011. [cited 2019 Aug 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20446.

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

Council of Science Editors:

REHMAT B. Ticket Vending Machine for the Visually Impaired Persons. [Thesis]. University of Borås; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20446

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


Kent State University

12. Darwish, Roba N., Darwish. A Detailed Study of User Privacy Behavior in Social Media.

Degree: MS, College of Arts and Sciences / Department of Computer Science, 2017, Kent State University

Social Networking Sites achieved a breakthrough over the past few years since they allow individuals to be in touch with family and friends, but also… (more)

Subjects/Keywords: Computer Science; Privacy; Social Media; Tags; Faces; Machine Learning

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APA (6th Edition):

Darwish, Roba N., D. (2017). A Detailed Study of User Privacy Behavior in Social Media. (Masters Thesis). Kent State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=kent1510704797892479

Chicago Manual of Style (16th Edition):

Darwish, Roba N., Darwish. “A Detailed Study of User Privacy Behavior in Social Media.” 2017. Masters Thesis, Kent State University. Accessed August 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1510704797892479.

MLA Handbook (7th Edition):

Darwish, Roba N., Darwish. “A Detailed Study of User Privacy Behavior in Social Media.” 2017. Web. 18 Aug 2019.

Vancouver:

Darwish, Roba N. D. A Detailed Study of User Privacy Behavior in Social Media. [Internet] [Masters thesis]. Kent State University; 2017. [cited 2019 Aug 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=kent1510704797892479.

Council of Science Editors:

Darwish, Roba N. D. A Detailed Study of User Privacy Behavior in Social Media. [Masters Thesis]. Kent State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=kent1510704797892479


University of California – San Diego

13. Desai, Purvi Jayesh. PIRCNET: A Data Driven Approach to HIV Risk Analysis.

Degree: Computer Science, 2016, University of California – San Diego

 The world continues to battle with HIV, one of the major public health issues. It has no known cure yet and has claimed several million… (more)

Subjects/Keywords: Computer science; Artificial intelligence; Health sciences; HIV; Machine Learning; Social Networks

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APA (6th Edition):

Desai, P. J. (2016). PIRCNET: A Data Driven Approach to HIV Risk Analysis. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/8q79x6pr

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):

Desai, Purvi Jayesh. “PIRCNET: A Data Driven Approach to HIV Risk Analysis.” 2016. Thesis, University of California – San Diego. Accessed August 18, 2019. http://www.escholarship.org/uc/item/8q79x6pr.

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

MLA Handbook (7th Edition):

Desai, Purvi Jayesh. “PIRCNET: A Data Driven Approach to HIV Risk Analysis.” 2016. Web. 18 Aug 2019.

Vancouver:

Desai PJ. PIRCNET: A Data Driven Approach to HIV Risk Analysis. [Internet] [Thesis]. University of California – San Diego; 2016. [cited 2019 Aug 18]. Available from: http://www.escholarship.org/uc/item/8q79x6pr.

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

Council of Science Editors:

Desai PJ. PIRCNET: A Data Driven Approach to HIV Risk Analysis. [Thesis]. University of California – San Diego; 2016. Available from: http://www.escholarship.org/uc/item/8q79x6pr

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


Penn State University

14. Liu, Haibin. Exploiting user-generated data for knowledge discovery and recommendation.

Degree: PhD, Information Sciences and Technology, 2014, Penn State University

 The Internet and Web 2.0 have achieved a rapid growth and became ubiquitous in recent years. The advance in information technologies has also enabled users… (more)

Subjects/Keywords: data mining; machine learning; recommender system; social media; user-generated data

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

APA (6th Edition):

Liu, H. (2014). Exploiting user-generated data for knowledge discovery and recommendation. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/22586

Chicago Manual of Style (16th Edition):

Liu, Haibin. “Exploiting user-generated data for knowledge discovery and recommendation.” 2014. Doctoral Dissertation, Penn State University. Accessed August 18, 2019. https://etda.libraries.psu.edu/catalog/22586.

MLA Handbook (7th Edition):

Liu, Haibin. “Exploiting user-generated data for knowledge discovery and recommendation.” 2014. Web. 18 Aug 2019.

Vancouver:

Liu H. Exploiting user-generated data for knowledge discovery and recommendation. [Internet] [Doctoral dissertation]. Penn State University; 2014. [cited 2019 Aug 18]. Available from: https://etda.libraries.psu.edu/catalog/22586.

Council of Science Editors:

Liu H. Exploiting user-generated data for knowledge discovery and recommendation. [Doctoral Dissertation]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/22586


Penn State University

15. Murphy, William P. Using Supervised Learning To Identify Descriptions Of Personal Experiences Related To Chronic Disease On Social Media.

Degree: MS, Information Sciences and Technology, 2014, Penn State University

 Patients are increasingly turning to online communities for health information and emotional support. In 2012, a study by the Pew Research Center found that more… (more)

Subjects/Keywords: machine learning; social media; data mining; health informatics

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APA (6th Edition):

Murphy, W. P. (2014). Using Supervised Learning To Identify Descriptions Of Personal Experiences Related To Chronic Disease On Social Media. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/21814

Chicago Manual of Style (16th Edition):

Murphy, William P. “Using Supervised Learning To Identify Descriptions Of Personal Experiences Related To Chronic Disease On Social Media.” 2014. Masters Thesis, Penn State University. Accessed August 18, 2019. https://etda.libraries.psu.edu/catalog/21814.

MLA Handbook (7th Edition):

Murphy, William P. “Using Supervised Learning To Identify Descriptions Of Personal Experiences Related To Chronic Disease On Social Media.” 2014. Web. 18 Aug 2019.

Vancouver:

Murphy WP. Using Supervised Learning To Identify Descriptions Of Personal Experiences Related To Chronic Disease On Social Media. [Internet] [Masters thesis]. Penn State University; 2014. [cited 2019 Aug 18]. Available from: https://etda.libraries.psu.edu/catalog/21814.

Council of Science Editors:

Murphy WP. Using Supervised Learning To Identify Descriptions Of Personal Experiences Related To Chronic Disease On Social Media. [Masters Thesis]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/21814


University of California – Irvine

16. Chen, Eric Evan. The Importance of Ideology varies across Sociocultural Contexts.

Degree: Psychology and Social Behavior, 2017, University of California – Irvine

 Although ideology is widely studied, less is known about how it varies across sociocultural contexts. Ideology is an organizing structure for political attitudes in that… (more)

Subjects/Keywords: Psychology; Social psychology; attitudes; culture; machine learning; political ideology

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

APA (6th Edition):

Chen, E. E. (2017). The Importance of Ideology varies across Sociocultural Contexts. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/04h5x2d5

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

Chicago Manual of Style (16th Edition):

Chen, Eric Evan. “The Importance of Ideology varies across Sociocultural Contexts.” 2017. Thesis, University of California – Irvine. Accessed August 18, 2019. http://www.escholarship.org/uc/item/04h5x2d5.

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

MLA Handbook (7th Edition):

Chen, Eric Evan. “The Importance of Ideology varies across Sociocultural Contexts.” 2017. Web. 18 Aug 2019.

Vancouver:

Chen EE. The Importance of Ideology varies across Sociocultural Contexts. [Internet] [Thesis]. University of California – Irvine; 2017. [cited 2019 Aug 18]. Available from: http://www.escholarship.org/uc/item/04h5x2d5.

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

Council of Science Editors:

Chen EE. The Importance of Ideology varies across Sociocultural Contexts. [Thesis]. University of California – Irvine; 2017. Available from: http://www.escholarship.org/uc/item/04h5x2d5

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


University of Cincinnati

17. Rawashdeh, Ahmad. Semantic Similarity of Node Profiles in Social Networks.

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

 It can be said, without exaggeration, that social networks have taken a large segment of populationby a storm. Regardless of the actual geographical location, of… (more)

Subjects/Keywords: Computer Science; Social Networks; Wordnet; Semantic; Machine Learning; Link Prediction

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

APA (6th Edition):

Rawashdeh, A. (2015). Semantic Similarity of Node Profiles in Social Networks. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439279922

Chicago Manual of Style (16th Edition):

Rawashdeh, Ahmad. “Semantic Similarity of Node Profiles in Social Networks.” 2015. Doctoral Dissertation, University of Cincinnati. Accessed August 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439279922.

MLA Handbook (7th Edition):

Rawashdeh, Ahmad. “Semantic Similarity of Node Profiles in Social Networks.” 2015. Web. 18 Aug 2019.

Vancouver:

Rawashdeh A. Semantic Similarity of Node Profiles in Social Networks. [Internet] [Doctoral dissertation]. University of Cincinnati; 2015. [cited 2019 Aug 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439279922.

Council of Science Editors:

Rawashdeh A. Semantic Similarity of Node Profiles in Social Networks. [Doctoral Dissertation]. University of Cincinnati; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439279922


Syracuse University

18. Tanupabrungsun, Sikana. Microcelebrity Practices: A Cross-Platform Study Through a Richness Framework.

Degree: PhD, School of Information Studies, 2018, Syracuse University

Social media have introduced a contemporary shift from broadcast to participatory media, which has brought about major changes to the celebrity management model. It… (more)

Subjects/Keywords: Affordances; Machine Learning; Media Richness; Microcelebrity; Social and Behavioral Sciences

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

APA (6th Edition):

Tanupabrungsun, S. (2018). Microcelebrity Practices: A Cross-Platform Study Through a Richness Framework. (Doctoral Dissertation). Syracuse University. Retrieved from https://surface.syr.edu/etd/879

Chicago Manual of Style (16th Edition):

Tanupabrungsun, Sikana. “Microcelebrity Practices: A Cross-Platform Study Through a Richness Framework.” 2018. Doctoral Dissertation, Syracuse University. Accessed August 18, 2019. https://surface.syr.edu/etd/879.

MLA Handbook (7th Edition):

Tanupabrungsun, Sikana. “Microcelebrity Practices: A Cross-Platform Study Through a Richness Framework.” 2018. Web. 18 Aug 2019.

Vancouver:

Tanupabrungsun S. Microcelebrity Practices: A Cross-Platform Study Through a Richness Framework. [Internet] [Doctoral dissertation]. Syracuse University; 2018. [cited 2019 Aug 18]. Available from: https://surface.syr.edu/etd/879.

Council of Science Editors:

Tanupabrungsun S. Microcelebrity Practices: A Cross-Platform Study Through a Richness Framework. [Doctoral Dissertation]. Syracuse University; 2018. Available from: https://surface.syr.edu/etd/879


Drexel University

19. Tang, Xuning. Incremental knowledge discovery in social media.

Degree: 2013, Drexel University

In light of the prosperity of online social media, Web users are shifting from data consumers to data producers. To catch the pulse of this… (more)

Subjects/Keywords: Information science; Data mining; Social media; Machine learning

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

APA (6th Edition):

Tang, X. (2013). Incremental knowledge discovery in social media. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/4092

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):

Tang, Xuning. “Incremental knowledge discovery in social media.” 2013. Thesis, Drexel University. Accessed August 18, 2019. http://hdl.handle.net/1860/4092.

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

MLA Handbook (7th Edition):

Tang, Xuning. “Incremental knowledge discovery in social media.” 2013. Web. 18 Aug 2019.

Vancouver:

Tang X. Incremental knowledge discovery in social media. [Internet] [Thesis]. Drexel University; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1860/4092.

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

Council of Science Editors:

Tang X. Incremental knowledge discovery in social media. [Thesis]. Drexel University; 2013. Available from: http://hdl.handle.net/1860/4092

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


Boise State University

20. Gundala, Laxmi Amulya. Uncovering New Links Through Interaction Duration.

Degree: 2017, Boise State University

 Link Prediction is the problem of inferring new relationships among nodes in a network that can occur in the near future. Classical approaches mainly consider… (more)

Subjects/Keywords: social network analysis; data science; link prediction; machine learning; Computer Sciences

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

APA (6th Edition):

Gundala, L. A. (2017). Uncovering New Links Through Interaction Duration. (Thesis). Boise State University. Retrieved from https://scholarworks.boisestate.edu/td/1337

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):

Gundala, Laxmi Amulya. “Uncovering New Links Through Interaction Duration.” 2017. Thesis, Boise State University. Accessed August 18, 2019. https://scholarworks.boisestate.edu/td/1337.

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

MLA Handbook (7th Edition):

Gundala, Laxmi Amulya. “Uncovering New Links Through Interaction Duration.” 2017. Web. 18 Aug 2019.

Vancouver:

Gundala LA. Uncovering New Links Through Interaction Duration. [Internet] [Thesis]. Boise State University; 2017. [cited 2019 Aug 18]. Available from: https://scholarworks.boisestate.edu/td/1337.

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

Council of Science Editors:

Gundala LA. Uncovering New Links Through Interaction Duration. [Thesis]. Boise State University; 2017. Available from: https://scholarworks.boisestate.edu/td/1337

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


Delft University of Technology

21. De Jong, N. Enhancing Real-Time Twitter Filtering and Classification using a Semi-Automatic Dynamic Machine Learning setup approach:.

Degree: 2015, Delft University of Technology

 Twitter contains massive amounts of user generated content that also contains a lot of valuable information for various interested parties. Twitcident has been developed to… (more)

Subjects/Keywords: real-time filtering; social filtering; machine learning; classification; twitter; twitcident

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

APA (6th Edition):

De Jong, N. (2015). Enhancing Real-Time Twitter Filtering and Classification using a Semi-Automatic Dynamic Machine Learning setup approach:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1bfec308-2c16-4cd3-baf6-35062a885ad7

Chicago Manual of Style (16th Edition):

De Jong, N. “Enhancing Real-Time Twitter Filtering and Classification using a Semi-Automatic Dynamic Machine Learning setup approach:.” 2015. Masters Thesis, Delft University of Technology. Accessed August 18, 2019. http://resolver.tudelft.nl/uuid:1bfec308-2c16-4cd3-baf6-35062a885ad7.

MLA Handbook (7th Edition):

De Jong, N. “Enhancing Real-Time Twitter Filtering and Classification using a Semi-Automatic Dynamic Machine Learning setup approach:.” 2015. Web. 18 Aug 2019.

Vancouver:

De Jong N. Enhancing Real-Time Twitter Filtering and Classification using a Semi-Automatic Dynamic Machine Learning setup approach:. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2019 Aug 18]. Available from: http://resolver.tudelft.nl/uuid:1bfec308-2c16-4cd3-baf6-35062a885ad7.

Council of Science Editors:

De Jong N. Enhancing Real-Time Twitter Filtering and Classification using a Semi-Automatic Dynamic Machine Learning setup approach:. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:1bfec308-2c16-4cd3-baf6-35062a885ad7


University of Ottawa

22. Jamil, Zunaira. Monitoring Tweets for Depression to Detect At-Risk Users .

Degree: 2017, University of Ottawa

 According to the World Health Organization, mental health is an integral part of health and well-being. Mental illness can affect anyone, rich or poor, male… (more)

Subjects/Keywords: NLP; Machine Learning; Tweets; text mining; social media; sentiment analysis

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

APA (6th Edition):

Jamil, Z. (2017). Monitoring Tweets for Depression to Detect At-Risk Users . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/36030

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):

Jamil, Zunaira. “Monitoring Tweets for Depression to Detect At-Risk Users .” 2017. Thesis, University of Ottawa. Accessed August 18, 2019. http://hdl.handle.net/10393/36030.

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

MLA Handbook (7th Edition):

Jamil, Zunaira. “Monitoring Tweets for Depression to Detect At-Risk Users .” 2017. Web. 18 Aug 2019.

Vancouver:

Jamil Z. Monitoring Tweets for Depression to Detect At-Risk Users . [Internet] [Thesis]. University of Ottawa; 2017. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10393/36030.

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

Council of Science Editors:

Jamil Z. Monitoring Tweets for Depression to Detect At-Risk Users . [Thesis]. University of Ottawa; 2017. Available from: http://hdl.handle.net/10393/36030

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


Columbia University

23. Agarwal, Apoorv. Social Network Extraction from Text.

Degree: 2016, Columbia University

 In the pre-digital age, when electronically stored information was non-existent, the only ways of creating representations of social networks were by hand through surveys, inter-… (more)

Subjects/Keywords: Natural language processing (Computer science); Machine learning; Social networks; Computer science

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

APA (6th Edition):

Agarwal, A. (2016). Social Network Extraction from Text. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8571C9Z

Chicago Manual of Style (16th Edition):

Agarwal, Apoorv. “Social Network Extraction from Text.” 2016. Doctoral Dissertation, Columbia University. Accessed August 18, 2019. https://doi.org/10.7916/D8571C9Z.

MLA Handbook (7th Edition):

Agarwal, Apoorv. “Social Network Extraction from Text.” 2016. Web. 18 Aug 2019.

Vancouver:

Agarwal A. Social Network Extraction from Text. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2019 Aug 18]. Available from: https://doi.org/10.7916/D8571C9Z.

Council of Science Editors:

Agarwal A. Social Network Extraction from Text. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D8571C9Z


University of Arizona

24. Bell, Dane Edward. Detecting Preventable Disease Risk on Social Media .

Degree: 2018, University of Arizona

 The incidence of type 2 diabetes mellitus is rising in the United States and worldwide. Diabetes is a common, debilitating, and deadly disease that begins… (more)

Subjects/Keywords: machine learning; neural networks; social media; type 2 diabetes mellitus

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

APA (6th Edition):

Bell, D. E. (2018). Detecting Preventable Disease Risk on Social Media . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/628180

Chicago Manual of Style (16th Edition):

Bell, Dane Edward. “Detecting Preventable Disease Risk on Social Media .” 2018. Doctoral Dissertation, University of Arizona. Accessed August 18, 2019. http://hdl.handle.net/10150/628180.

MLA Handbook (7th Edition):

Bell, Dane Edward. “Detecting Preventable Disease Risk on Social Media .” 2018. Web. 18 Aug 2019.

Vancouver:

Bell DE. Detecting Preventable Disease Risk on Social Media . [Internet] [Doctoral dissertation]. University of Arizona; 2018. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10150/628180.

Council of Science Editors:

Bell DE. Detecting Preventable Disease Risk on Social Media . [Doctoral Dissertation]. University of Arizona; 2018. Available from: http://hdl.handle.net/10150/628180


Rochester Institute of Technology

25. Rawlins, Ryan T. Scalable Automation of Online Network Attack Characterization.

Degree: MS, Computer Engineering, 2014, Rochester Institute of Technology

  Cyber attacks to enterprise networks and critical infrastructures are becoming more prevalent and diverse. Timely recognition of attack strategies and behaviors will assist analysts… (more)

Subjects/Keywords: Attack social graph; Cyber security; Feature selection; Machine learning

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

APA (6th Edition):

Rawlins, R. T. (2014). Scalable Automation of Online Network Attack Characterization. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8369

Chicago Manual of Style (16th Edition):

Rawlins, Ryan T. “Scalable Automation of Online Network Attack Characterization.” 2014. Masters Thesis, Rochester Institute of Technology. Accessed August 18, 2019. https://scholarworks.rit.edu/theses/8369.

MLA Handbook (7th Edition):

Rawlins, Ryan T. “Scalable Automation of Online Network Attack Characterization.” 2014. Web. 18 Aug 2019.

Vancouver:

Rawlins RT. Scalable Automation of Online Network Attack Characterization. [Internet] [Masters thesis]. Rochester Institute of Technology; 2014. [cited 2019 Aug 18]. Available from: https://scholarworks.rit.edu/theses/8369.

Council of Science Editors:

Rawlins RT. Scalable Automation of Online Network Attack Characterization. [Masters Thesis]. Rochester Institute of Technology; 2014. Available from: https://scholarworks.rit.edu/theses/8369


University of Rochester

26. Sadilek, Adam. Modeling human behavior at a large scale.

Degree: PhD, 2013, University of Rochester

 Until recently, complex phenomena – such as human behavior and disease epidemics – have been modeled primarily at an aggregate level. Detailed studies have been limited to… (more)

Subjects/Keywords: Epidemiology; GPS; Location prediction; Machine learning; Social network analysis; Relational learning

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

APA (6th Edition):

Sadilek, A. (2013). Modeling human behavior at a large scale. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/26492

Chicago Manual of Style (16th Edition):

Sadilek, Adam. “Modeling human behavior at a large scale.” 2013. Doctoral Dissertation, University of Rochester. Accessed August 18, 2019. http://hdl.handle.net/1802/26492.

MLA Handbook (7th Edition):

Sadilek, Adam. “Modeling human behavior at a large scale.” 2013. Web. 18 Aug 2019.

Vancouver:

Sadilek A. Modeling human behavior at a large scale. [Internet] [Doctoral dissertation]. University of Rochester; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1802/26492.

Council of Science Editors:

Sadilek A. Modeling human behavior at a large scale. [Doctoral Dissertation]. University of Rochester; 2013. Available from: http://hdl.handle.net/1802/26492

27. Duarte, Fernando José Fradique. Platform for the discovery of newsworthy events in Twitter .

Degree: 2017, Universidade de Aveiro

 The new communication paradigm established by Social Media, along with its growing popularity in recent years, have contributed to attract an increasing interest by several… (more)

Subjects/Keywords: Social Media; Twitter; Event Detection; Machine Learning; Dynamic Programming

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

APA (6th Edition):

Duarte, F. J. F. (2017). Platform for the discovery of newsworthy events in Twitter . (Thesis). Universidade de Aveiro. Retrieved from http://hdl.handle.net/10773/24806

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):

Duarte, Fernando José Fradique. “Platform for the discovery of newsworthy events in Twitter .” 2017. Thesis, Universidade de Aveiro. Accessed August 18, 2019. http://hdl.handle.net/10773/24806.

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

MLA Handbook (7th Edition):

Duarte, Fernando José Fradique. “Platform for the discovery of newsworthy events in Twitter .” 2017. Web. 18 Aug 2019.

Vancouver:

Duarte FJF. Platform for the discovery of newsworthy events in Twitter . [Internet] [Thesis]. Universidade de Aveiro; 2017. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10773/24806.

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

Council of Science Editors:

Duarte FJF. Platform for the discovery of newsworthy events in Twitter . [Thesis]. Universidade de Aveiro; 2017. Available from: http://hdl.handle.net/10773/24806

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


University of New South Wales

28. Hwong, Yi Ling. Communicating space science on social media: A study of engagement and trust in science.

Degree: Biological, Earth & Environmental Sciences, 2018, University of New South Wales

 There is concern that a crisis of trust may be looming between society and scientists, as evidenced by the display of considerable public distrust in… (more)

Subjects/Keywords: Machine learning; Science communication; Social media; Facebook; Twitter; Reddit

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

APA (6th Edition):

Hwong, Y. L. (2018). Communicating space science on social media: A study of engagement and trust in science. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/61453 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:55715/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Hwong, Yi Ling. “Communicating space science on social media: A study of engagement and trust in science.” 2018. Doctoral Dissertation, University of New South Wales. Accessed August 18, 2019. http://handle.unsw.edu.au/1959.4/61453 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:55715/SOURCE02?view=true.

MLA Handbook (7th Edition):

Hwong, Yi Ling. “Communicating space science on social media: A study of engagement and trust in science.” 2018. Web. 18 Aug 2019.

Vancouver:

Hwong YL. Communicating space science on social media: A study of engagement and trust in science. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2019 Aug 18]. Available from: http://handle.unsw.edu.au/1959.4/61453 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:55715/SOURCE02?view=true.

Council of Science Editors:

Hwong YL. Communicating space science on social media: A study of engagement and trust in science. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/61453 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:55715/SOURCE02?view=true


Virginia Tech

29. Raisi, Elaheh. Weakly Supervised Machine Learning for Cyberbullying Detection.

Degree: PhD, Computer Science, 2019, Virginia Tech

 The advent of social media has revolutionized human communication, significantly improving individuals' lives. It makes people closer to each other, provides access to enormous real-time… (more)

Subjects/Keywords: Machine Learning; Weak Supervision; Cyberbullying detection; Social Media; Co-trained Ensemble

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

APA (6th Edition):

Raisi, E. (2019). Weakly Supervised Machine Learning for Cyberbullying Detection. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/89100

Chicago Manual of Style (16th Edition):

Raisi, Elaheh. “Weakly Supervised Machine Learning for Cyberbullying Detection.” 2019. Doctoral Dissertation, Virginia Tech. Accessed August 18, 2019. http://hdl.handle.net/10919/89100.

MLA Handbook (7th Edition):

Raisi, Elaheh. “Weakly Supervised Machine Learning for Cyberbullying Detection.” 2019. Web. 18 Aug 2019.

Vancouver:

Raisi E. Weakly Supervised Machine Learning for Cyberbullying Detection. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10919/89100.

Council of Science Editors:

Raisi E. Weakly Supervised Machine Learning for Cyberbullying Detection. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/89100


Deakin University

30. Liu, Shigang. Deficient data classification with fuzzy learning.

Degree: School of Information Technology, 2017, Deakin University

 This thesis first proposes a novel algorithm for handling both missing values and imbalanced data classification problems. Then, algorithms for addressing the class imbalance problem… (more)

Subjects/Keywords: machine learning; sampling; imbalanced data; missing data; social networks; adversary learning

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

APA (6th Edition):

Liu, S. (2017). Deficient data classification with fuzzy learning. (Thesis). Deakin University. Retrieved from http://hdl.handle.net/10536/DRO/DU:30102819

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, Shigang. “Deficient data classification with fuzzy learning.” 2017. Thesis, Deakin University. Accessed August 18, 2019. http://hdl.handle.net/10536/DRO/DU:30102819.

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

MLA Handbook (7th Edition):

Liu, Shigang. “Deficient data classification with fuzzy learning.” 2017. Web. 18 Aug 2019.

Vancouver:

Liu S. Deficient data classification with fuzzy learning. [Internet] [Thesis]. Deakin University; 2017. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10536/DRO/DU:30102819.

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. Deficient data classification with fuzzy learning. [Thesis]. Deakin University; 2017. Available from: http://hdl.handle.net/10536/DRO/DU:30102819

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

[1] [2] [3] [4] [5] [6] [7] [8]

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