Page 77 – Frost Institute for Data Science & Computing

Big Data Lunch & Learn, Friday 5/27/2016

We are in the era of Big Data. Data is being generated by everything around us all the time. The extreme popularity of social media pushes the scale of data even higher in volume, speed and variety. It becomes more and more critical to develop and apply new big data technologies to collect, process, understand data in a super efficient way. New big data systems and analytic algorithms have been developed and deployed extensively in industrial and academic areas. This free Lunch and Learn session (open to UM Faculty, Staff, and Students) will start with an overview of the big data technologies in Hadoop eco-system and the popular tools in big data collection, processing and analysis. It then presents the basics of Hadoop MapReduce, the parallel computing platform which make massive scalability possible. Read more “Big Data Lunch & Learn, Friday 5/27/2016” →

Events - Past

“Big Data Day” Oderzo Italy, Friday 5/20/2016

“Big Data Day: When Science, Society, Technology, and Business face change” was held at Nice, S.p.a., in Oderzo, Italy, on Friday, May 20, 2016. The event was organized by CCS’s own Lead Bioinformatics Scientist Enrico Capobianco, PhD, who also participated, giving a session on Smart Cities. Read more ““Big Data Day” Oderzo Italy, Friday 5/20/2016″ →

News - Archived

EHRs, Digital Biomarkers, and Big Data

With the rise of digital biomarkers, its role in precision medicine has become an important area of interest, something which is destined to continue due to Electronic Health Records (EHR). It’s important to keep in mind the limitations and problems that appear on the horizon. Among these problems are geo-differentiation and ethnic balance, generation of protocols for sharing digital information, and transferability of different record types (structured and non-structured). Read more “EHRs, Digital Biomarkers, and Big Data” →

Events - Past

“Current Issues in Data Mining” Offered Insight

The “Current Issues in Data Mining” Symposium was well attended. The cutting-edge talks well received and Dr. Srini Parthasarthy has shared his presentation. Read more ““Current Issues in Data Mining” Offered Insight” →

Events - Past

Current Issues in Data Mining, Wednesday 5/4/2016

Data Mining is an area of computer science that studies the problem of discovering interesting or meaningful patterns in large data sets, and develops knowledge out of the discovered patterns. With the advancement of computing technologies, the importance of data mining has increased. In this event, three renowned data mining experts will present their cutting-edge research in data mining. The talks will be useful for those who are interested in getting a glimpse of data mining, and those who are interested in using data mining technologies for their research. Read more “Current Issues in Data Mining, Wednesday 5/4/2016” →

Events - Past

CCS Participates in eMerge Americas 2016

The Center for Computational Science offered two presentations at the cutting-edge technology and innovation event eMerge Americas held on April 17-19, 2016, at the Miami Beach Convention Center. One on Visualization, and one on Digital Mapping using drones and custom software created by our Software Engineering Team.

News - Archived

Crunching Data at IDSC

Computational Science is widely recognized as a critical means to solving many of today’s most challenging problems. While computer science studies the different components of computers and computer programming, computational science builds the interface of computing within the scientific discipline—the art of computers designed with enough infrastructure to support the science and advancement of science. Read more “Crunching Data at IDSC” →

News - Archived

UM’s Special Report on Climate Change

The University of Miami’s CLIMATE CHANGE Special Report has launched. The science, says Ben Kirtman, is absolute. The earth is warming, and this is not a good thing. Polar ice is melting. Sea levels are rising. The world is hotter, and extreme weather patterns are becoming the norm. Read more “UM’s Special Report on Climate Change” →

Research

Smart Cities, Big Data, and Communities

In what sense is a city smart? There are established entities defining this rich area of cross-disciplinary studies, and they refer to social, technical, economic, and political factors that keep evolving, thus offering opportunities for constant refinement of the concept of smart city. Read more “Smart Cities, Big Data, and Communities” →

Publications