Big data analytics is the process of examining large, heterogeneous and varied data sets to uncover hidden patterns, unknown correlations, trends, preferences and other useful information that can help organizations make more-informed business decisions.
Large Scale Graph Processing
Massive graphs are nowadays used to represent many different kinds of real-world data, for instance communities and networks; processing efficiently these data structures represents a fundamental challenge in many domains.
Mobility data represents a widely used term to indicate sources of information, possibly structured in many different ways. The importance of mobility data is going to increase even further in the future, given the ever growing diffusion of the internet of devices and the progressive introduction of the internet of things paradigm.
We are a data science research lab at Federal University of Ceará (UFC) - Brazil. Currently we develop activities in the following UFC Campi: Fortaleza, Quixadá, Crateús and Russas. Insight Lab is composed by professors, researchers, collaborators and students of postgraduate and graduation. We conduct interdisciplinary research aimed at discovering the principles underlying the data science. The laboratory conducts research in many areas: cloud computing, machine learning, data visualization, semantic integration, social network analysis, trajectory exploration, time-dependent networks, text summarization and mining massive datasets.