5th International Conference on Big Data Analysis and Data Mining 2018

Future Technologies for Knowledge Discoveries in Data
Date
2018-06-20 - 2018-06-21
Organizer
Exhibitors
0
Event contact title
Contact for:
Event contact first name
General
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Queries
Email
dataanalysis@enggconferences.com
Event contact telephone number
UK - 0-800-014-8923 / America - 1-213-233-9462 - 1-888-843-8169
Description

Conference series LTD cordially invites all participants across the globe to attend the 5th  International Conference on Big Data Analysis and Data Mining (Data Mining 2018) which is going to be held during June 20-21 in Rome, Italy to share the Future Technologies for Knowledge Discoveries in Data" and technology. The main theme of the conference is “Future Technologies for Knowledge Discoveries in Data". 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 Mining 2018.

Data Mining, 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 Mining 2018 is comprised of the following sessions with 25 tracks and 133 sub sessions designed to offer comprehensive sessions that address current issues of Big Data and Data Mining. Data mining tools predict future trends and behaviors, 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. Data mining tools can answer business questions that traditionally were too time-consuming to resolve.

Attendee information

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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