Project





DensiTweet

Summary

 In our project we dealing with a big data for people that used twitter in Madrid in a different time and different date and different place and analysis this data by using R and Hadoop program. Our objective is make a representation of this data over a Madrid map to looking for places that high traffic, density and movements in Madrid.


Full Description

In our presentation we have a Big Data for people that used twitter in Madrid in a different time, data and places. we used R program to read this data and applied RHadoop in order to deal with the Big Data to analysis and make a good classification for this data. Our aim is make a representation of this data over a Madrid map to looking for places that high traffic, density and movements in Madrid by using some algorithms such as hierarchical clustering algorithm, and how to deal with the m clusters that represent this data with a different colors.  



Video Presentation

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 TEAM

ESLAM MONTASER
GABRIEL VALVERDE
OSCAR SANCHEZ
ROBERTO SERRANO
MEMBERS

ESLAM MONTASER
emontase@gmail.com

GABRIEL VALVERDE
gabrielvalverdecastilla@gmail.com

OSCAR SANCHEZ
oscarsb1988@gmail.com

ROBERTO SERRANO
r.semarcos@gmail.com
GITHUB

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IBM BLUEMIX USE

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1) The URL of code repositories containing code (if a private repository, please add Sandhya Kapoor, kapoor@us.ibm.com to the project with read access)

2) List of Bluemix boilerplates, runtimes, services and add-ons used during the hackathon - if any services were used during the hackathon, but are not part of the demonstration please specify.




GLOBAL AWARDS

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