Difference between revisions of "User:Epapalex"

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'''Evangelos ("Vagelis") Papalexakis'''
 
'''Evangelos ("Vagelis") Papalexakis'''
[[File:http://www.db.cs.cmu.edu/db-site/People/List/vagelis/vagelis.jpg]]
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'''Who am I?'''
 
'''Who am I?'''
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I am Vagelis Papalexakis, a 2nd year phd student at CSD. I am interested in tensor analysis and large graph mining. You can access my personal homepage  [http://www.cs.cmu.edu/~epapalex here].
 
I am Vagelis Papalexakis, a 2nd year phd student at CSD. I am interested in tensor analysis and large graph mining. You can access my personal homepage  [http://www.cs.cmu.edu/~epapalex here].
  
 
'''What do I hope to get out of the class?'''  
 
'''What do I hope to get out of the class?'''  
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I would like to get to know the state of the art algorithms used for Social Media Analysis, and hopefully find a creative way to fuse it with my current research project.
 
I would like to get to know the state of the art algorithms used for Social Media Analysis, and hopefully find a creative way to fuse it with my current research project.
  
 
'''What kind project would I like to do?'''  
 
'''What kind project would I like to do?'''  
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Haven't decided yet, but maybe something that could be using tensor analysis in order to improve some already existing algorithm in the area.
 
Haven't decided yet, but maybe something that could be using tensor analysis in order to improve some already existing algorithm in the area.

Revision as of 21:26, 17 September 2012

Evangelos ("Vagelis") Papalexakis

Who am I?

I am Vagelis Papalexakis, a 2nd year phd student at CSD. I am interested in tensor analysis and large graph mining. You can access my personal homepage here.

What do I hope to get out of the class?

I would like to get to know the state of the art algorithms used for Social Media Analysis, and hopefully find a creative way to fuse it with my current research project.

What kind project would I like to do?

Haven't decided yet, but maybe something that could be using tensor analysis in order to improve some already existing algorithm in the area.