College/University/Organization
Name: Kongu Engineering College
Organizing Department: Department of Mathematics School of Science & Humanities
Event Date: 2015-01-09 -- 2015-01-10
(YYYY/MM/DD)
Last Date: 2014-12-29 (YYYY/MM/DD)
Address: Perundurai, Erode, Tamilnadu,India
Registration Fee:
Demand Draft for Rs.300/ - drawn in favour of “Kongu Engineering
College Grants” payable at Perundurai / Erode.
Event Website / Brochure
link: http://www.kongu.ac.in/events/mathsdbt.pdf
About Event:
Big data is a collection of large and complex data sets which
becomes difficult to process using on-hand database management tools or
traditional data processing applications. It is becoming very difficult for
organizations to store, retrieve and process the ever-increasing data. The
problem lies in the use of traditional systems to store enormous data.
Big data analytics refers to the process of collecting, organizing and analyzing large sets of data to discover patterns and other useful information. To analyze a large volume of data, big data analytics is typically performed using specialized software tools and applications for predictive analytics, data mining, text mining, forecasting and data optimization. Hadoop is an open source software framework that supports the processing of large data sets in a distributed computing
environment.
Bioinformatics is the application of computer technology to the management of biological information.Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data.
As an interdisciplinary field of science, Bioinformatics combines Computer science, Statistics, Mathematics and Engineering to study and process biological data. Big data requires significantly more efficient storage and data management solutions that seem impossible or infeasible to implement even a few years ago. In recent days, big data presents significant opportunities in uncovering hidden patterns
in data and building predictive models for practical biomedical
applications.
The aim of this seminar is to bring together researchers in database management, data mining, artificial Intelligence, computational biology, Bioinformatics to discuss research challenges and cutting edge techniques in handling big biological data and also it brings together big data practitioners, researchers, students, clinicians, health IT experts and data scientists to share ideas on how to improve the state of our
healthcare systems by delivering on the promise of big data
infrastructure investments.
Big data analytics refers to the process of collecting, organizing and analyzing large sets of data to discover patterns and other useful information. To analyze a large volume of data, big data analytics is typically performed using specialized software tools and applications for predictive analytics, data mining, text mining, forecasting and data optimization. Hadoop is an open source software framework that supports the processing of large data sets in a distributed computing
environment.
Bioinformatics is the application of computer technology to the management of biological information.Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data.
As an interdisciplinary field of science, Bioinformatics combines Computer science, Statistics, Mathematics and Engineering to study and process biological data. Big data requires significantly more efficient storage and data management solutions that seem impossible or infeasible to implement even a few years ago. In recent days, big data presents significant opportunities in uncovering hidden patterns
in data and building predictive models for practical biomedical
applications.
The aim of this seminar is to bring together researchers in database management, data mining, artificial Intelligence, computational biology, Bioinformatics to discuss research challenges and cutting edge techniques in handling big biological data and also it brings together big data practitioners, researchers, students, clinicians, health IT experts and data scientists to share ideas on how to improve the state of our
healthcare systems by delivering on the promise of big data
infrastructure investments.
Contact Details:
Dr.M.Dhavamani
Convener
Research focus on Big Data in Bioinformatics
Department of Mathematics
School of Science & Humanities
Kongu Engineering College
Perundurai, Erode – 638 052, Tamilnadu.
Convener
Research focus on Big Data in Bioinformatics
Department of Mathematics
School of Science & Humanities
Kongu Engineering College
Perundurai, Erode – 638 052, Tamilnadu.
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