Bigdata Bigday 2013

lunes, 26 de Agosto de 2013, 18:00 hs - 21:30 hs

NXTP Labs, Malabia 1720 - 1 Piso, Palermo Soho, Buenos Aires, Argentina Ver mapa


x Para utilizar adecuadamente nuestra plataforma te recomendamos usar Google Chrome o Firefox. Internet Explorer puede presentar inconvenientes.
x Para utilizar adecuadamente nuestra plataforma te recomendamos usar Google Chrome o Firefox. Internet Explorer puede presentar inconvenientes.

La inscripción a este evento ha terminado.

Bigdata Bigday 2013

Agenda

26 de Agosto de 2013

18:00 - 18:25

Registración

18:25 - 18:30

Palabras de bienvenida

18:30 - 19:00

"CUE es esto?", Dan Rozenfarb (Keepcon)

19:00 - 19:30

"Hadoop en escenarios no convencionales", Charly Lizarralde (7Puentes)

19:30 - 20:00

"Big Data Insights on Human Behaviors", Mat Travizano (GranData)

20:00 - 21:00

"Exploring the Structure of Massive On-Line Networks"Jure Leskovec (Stanford University)

Abstract:
Social interactions of hundreds of millions of people on the Web create massive digital traces, which can naturally be represented, studied and analyzed as massive networks of interactions. By computationally analyzing such network data we can study phenomena that were once essentially invisible to us: the social interactions and collective behavior of hundreds of millions of people. In this talk we discuss how computational perspectives and mathematical models can be developed to abstract online social phenomena like: How will a community or a social network evolve in the future? What are life stages of a user in the community and how can we predict user's ultimate lifespan in the community? And last, how do we design incentives that promote desired user behavior in online communities?

Oradores

Dan3 110x110

Dan Rozenfarb

http://ar.linkedin.com/in/danrozenfarb

Dan is responsible for Research and Development (R&D) at Keepcon. Graduate in Computer Science from the University of Buenos Aires (UBA), he holds a wide experience working for systems and the area of Artificial Intelligence and Computer Linguistics since 2002. Dan has also worked as a university professor teaching classes such as “Advanced Design with Objects” and “Programs Oriented towards Objects” in the College of Exact Sciences of UBA.
Team


Jure 2b

Jure Leskovec

http://cs.stanford.edu/people/jure/

Jure Leskovec is assistant professor of Computer Science at Stanford University where he is a member of the Info Lab and the AI Lab. His research focuses on mining large social and information networks. Problems he investigates are motivated by large scale data, the Web and on-line media. This research has won several awards including best paper awards at KDD, WSDM, ICDM and ASCE Journal of Water Resources Planning and Management, ACM KDD dissertation award, Microsoft Research Faculty Fellowship, as well as Alfred P. Sloan Fellowship and Okawa Foundation Research grant. Jure received his bachelor's degree in computer science from University of Ljubljana, Slovenia, Ph.D. in machine learning from the Carnegie Mellon University and postdoctoral training at Cornell University. You can follow him on Twitter @jure.