
INES – National Institute of Science and Technology for Software Engineering
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INES Researcher will attend the Big Data Workshop: Challenges and Opportunities
(0)Publicado em November 5th, 2012UncategorizedINES researcher prof. Vinicius Cardoso Garcia will attend the Big Data Workshop: Challenges and Opportunities, on November, 13 of 2012. The workshop will be held at Instituto Tecnológico de Aeronáutica – ITA, in São José dos Campos, SP, Brazil.
The workshop aims to discuss partnerships and ongoing activities at ITA and Massachusetts Institute of Technology (MIT).
The Big Data Workshop: Challenges and Opportunities, is supported by QIBRAS – Brasil Information Quality (in portuguese, Qualidade da Informação Brasil) and BRASSCOM – Brazilian Association of Information Technology and Communication Companies.
big data, cesar, ita, mit, ufpe, workshop -
INES at MASCOTS (2012)
(0)Publicado em June 19th, 2012PublicationsResearchers from the project “SSD Cache”, performed by CESAR and HP teams in 2011 and partially supported by INES, will present the poster titled “Analysis of Prediction and Replacement Algorithms applied to Real Workload for Storage Devices” at MASCOTS 2012. Mascots 2012 is the IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecom System and will happen in Arlington, Virgina, USA, from August, 7th to 9th. This work is part of the project “S.Ma.R.T – Social Machines Research Team“.
algorithms, cache, cesar, hp, smart, ssd, storage -
INES researchers developing educational-oriented recommender systems
(0)Publicado em April 17th, 2012ProjectsINES researchers at C.E.S.A.R/Atepassar.com are investigating and developing educational-oriented recommender systems for providing students with personalized learning material respecting their individual needs. One of the main challenges of the research is to depict the student’s user model due to its granularity of characteristics to determines user’s interest. In order to offer students with appropriate learning resources and courses, machine learning and data mining techniques such as prediction, classification and clustering are being investigated and applied to an under-development recommendation system. The outcome of this work will be implemented at Atepassar.com, an educational social network. Frederico Durao (C.E.S.A.R/Atepassar.com), Marcel Caraciolo (Atepassar.com) and Silvio Meira (C.E.S.A.R) are leading the research.
atepassar.com, cesar, educational, recommender, system