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3rd International Conference on Data Structures and Data Mining

17th August, 2017 - 18th August, 2017
Start Date17th August, 2017 (Thursday) 02.09 PM
End Date18th August, 2017 (Friday) 02.09 PM
VenuToronto
LocationCanada

Conference series LLC cordially invites all participants across the globe to attend the 3rd International Conference on Data Structures and Data Mining (Data Mining 2017) which is going to be held during August 17-18 in Toronto, Canada to share the Future Technologies for Knowledge Discoveries in Data' and technology. The main theme of the conference is “Advance Technologies for Creative Inventions in Data Structures'. This conference aimed to expand its coverage in the areas of Big Data and Data Mining where expert talks, young researcher’s presentations will be placed in every session of the meeting will be inspired and keep up your enthusiasm. We feel our expert Organizing Committee is our major asset, however your presence over the venue will add one more feather to the crown of Data Structure and Data Mining 2017.

Data Structures and Data Mining 2017, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data Structures and Data Mining 2017 is comprised of the following sessions with 13 tracks and 89 sub sessions designed to offer comprehensive sessions that address current issues of Data Structures and Data Mining. Data mining tools predict future trends and behaviours, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Datamining tools can answer business questions that traditionally were too time-consuming to resolve.

Target audience for the conference:

  • Data Base engineers
  • Scientists/Researchers
  • Professors
  • President/Vice president
  • Chairs/Directors
  • Data Scientists
  • Students
  • Experts and Delegates

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