Difference between revisions of "User:Tahoang"

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(Created page with '== Who am I? == I am [http://www.mysmu.edu/phdis2011/tahoang.2011/ Tuan Anh Hoang] (in Vietnamese: Hoàng Tuấn Anh) is a second Phd student at School of Information System (SIS…')
 
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== Who am I? ==
 
== Who am I? ==
I am [http://www.mysmu.edu/phdis2011/tahoang.2011/ Tuan Anh Hoang] (in Vietnamese: Hoàng Tuấn Anh) is a second Phd student at School of Information System (SIS), Singapore Management University (SMU). I am working in Living Analytics Research Centre, a joint project between SIS and Heinz College, Carnegie Mellon University (CMU). I spends the school year 2012 - 2013 doing internship in CMU. My research interest centers on social networks mining, particularly on modeling information diffusion process.
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I am [http://www.mysmu.edu/phdis2011/tahoang.2011/ Tuan Anh Hoang] (in Vietnamese: Hoàng Tuấn Anh, a second Phd student at School of Information System (SIS), Singapore Management University (SMU). I am working in Living Analytics Research Centre, a joint project between SIS and Heinz College, Carnegie Mellon University (CMU). I spends the school year 2012 - 2013 doing internship in CMU. My research interest centers on social networks mining, particularly on modeling information diffusion process.
  
 
== What do I want to learn from this course? ==
 
== What do I want to learn from this course? ==

Revision as of 19:55, 17 September 2012

Who am I?

I am Tuan Anh Hoang (in Vietnamese: Hoàng Tuấn Anh, a second Phd student at School of Information System (SIS), Singapore Management University (SMU). I am working in Living Analytics Research Centre, a joint project between SIS and Heinz College, Carnegie Mellon University (CMU). I spends the school year 2012 - 2013 doing internship in CMU. My research interest centers on social networks mining, particularly on modeling information diffusion process.

What do I want to learn from this course?

In this course I want to learn about the modeling user behaviors in social networks.different machine learning techniques for structured prediction.

My proposed project