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Data Mining: From theory to practice

August 5th, 2014

Auditorium 3  – ICEx/UFMG

This workshop aims to discuss data mining, bridging foundations and applications, as well as how it relates to other areas such as big data, data science, machine learning, natural computation, and information retrieval, among others.

11:00 Seminar: Data Science foundations for the information age

  • Prof. Mohammed Zaki, RPI and QCRI
  • Prof. Wagner Meira Jr., DCC/UFMG

14:00 Panel: Is there a difference or a convergence among data mining and other related areas?

The wide availability of data storage and the diversity of data collection mechanisms resulted in a huge and ever increasing amount of data being stored, but the actual use of such data is still limited. In parallel, we also observe the rise of several data-intensive areas that clearly overlap but still differ, such as data mining, machine learning, information retrieval, natural computation, big data and data science, among others. In this panel we will discuss whether there is difference or a convergence among these areas, the current challenges, and the future trends on data-related research and technology.

Panelists:

  • Berthier Ribeiro-Neto, DCC/UFMG and Google
  • Adriano Veloso, DCC/UFMG
  • Gisele Pappa, DCC/UFMG
  • Dorgival Guedes, DCC/UFMG

The fee for this program is approximately https://www.homeworkhelper.net/ $38,500
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