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ICBK 2016 : International Conference on Big Data and Knowledge Discovery

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Link: http://drtc.isibang.ac.in/icbk/home1
 
When Mar 9, 2016 - Mar 11, 2016
Where Bengaluru, India
Submission Deadline Jan 8, 2016
Notification Due Feb 8, 2016
Final Version Due Feb 25, 2016
Categories    big data   semantic web   open data   data security
 

Call For Papers

Full FCP at http://drtc.isibang.ac.in/icbk/call_for_paper
From the home page:
ICBK 2016


Research intensive fields of study as also scientific practices are contributing to immense amount of data worldwide. Technological advances make it possible to instantly produce, capture, describe and exploit data online. Diversified approaches to research add to the possibility of diverse applications, different distributions, versions and interpretation of data. Library and Information Science professionals are required to cope up with this situation and handle data in terms of data collection, description, curation and involve in all other aspects of the data cycle. In addition to information services, LIS professionals are involved in data services either in isolation or in services that complement information services. The field of data science today is truly interdisciplinary involving researchers producing data in many different domains, data curators, publishers, technologists, librarians and data analysts.

The situation opens up new and interesting opportunities for professionals to explore and learn all aspects of what has taken the shape, holistically, of DATA SCIENCE. In view of the developments in data, LIS research data, skill and knowledge requirements of professionals Documentation Research and Training Centre DRTC, Indian Statistical Institute ISI announces International Conference on Big Data and Knowledge Discovery (ICBK). The objective of the conference is to offer a platform for exchange of ideas of the international community related to all aspects of data science. The conference offers an opportunity to explore the the various themes and topics of Big Data and Knowledge discovery.

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