College/University/Organization
Name: National Institiute of Technology-NIT Trichy
Organizing Department: Management Studies / Computer Applications (MCA)
Event Date: 2014-11-24 -- 2014-11-28
(YYYY/MM/DD)
Last Date: 2014-11-19 (YYYY/MM/DD)
Registration Fee:
Individual
Registration
Academicians Rs. 5,000
Industries & Public Sector Organizations Rs. 10,000
Academicians Rs. 5,000
Industries & Public Sector Organizations Rs. 10,000
Full Time Research Rs. 4,000 Rs.
Group Registrations
Academicians Rs. 4,500
Industries & Public Sector Organizations Rs. 7,500
Group Registrations
Academicians Rs. 4,500
Industries & Public Sector Organizations Rs. 7,500
Full Time Research Rs. 3,500 Scholars
The registration fee includes programme kit, refreshments and working lunch. Registration fee is to be paid by a DD drawn in favour of "The Director, National Institute of Technology", payable at SBI, NIT Tiruchirappalli.
Accommodation for the participants will be arranged in the institute guest house at a nominal fee for the outstation participants. Normally it will be a twin shared accommodation.
The registration fee includes programme kit, refreshments and working lunch. Registration fee is to be paid by a DD drawn in favour of "The Director, National Institute of Technology", payable at SBI, NIT Tiruchirappalli.
Accommodation for the participants will be arranged in the institute guest house at a nominal fee for the outstation participants. Normally it will be a twin shared accommodation.
College/University/Organization
Website: http://www.nitt.edu/
Event Website / Brochure
link: http://www.nitt.edu/home/FDP-Data-Mining-Analytics.pdf
About Event:
Data Mining applies machine intelligence and statistical tools
to extract novel, useful and meaningful patterns from huge amount of data. Data
doubles about every year, but useful information seems to be decreasing. “Big
Data”, an emerging concept refers to datasets whose size is beyond the ability
of typical database software tools to capture, store, manage, and analyze. Big
Data is now prospering in the field of analytics. The Data Mining and Data
Analytics Workshop aims to bring together researchers from both industry and
academia to participate and get experienced to various aspects of big data
mining and associated tools by classroom learning and hands-on experience.
Topics of coverage include Data analytics methods on Correlation, Regression, Multiple regression, Logit regression, Factor analysis and emotional intelligence. The theme of the workshop also highlights on overview of Big Data Analytics, Data Mining and its associated techniques like classification and Clustering algorithms.
Contact Details:
J.Daniel Inbaraj,
Research Scholar
Mob: +91 8122 303 159
Research Scholar
Mob: +91 8122 303 159
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