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International Conference on Big Data Innovation for Sustainable Cognitive Computing

Authors of selected papers from the International Conference on Big Data Innovation for Sustainable Cognitive Computing will be invited to submit an extended version of their papers to Data Technologies and Applications. The extended versions of the papers need to be substantially different.

The conference will be held on 13-15 December, 2018, at Coimbatore, Tamilnadu, India.

About the International Conference on Big Data Innovation for Sustainable Cognitive Computing

Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. Cognitive computing is the creation of self learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. The purpose of cognitive computing is to create computing systems that can solve complicated problems without constant human oversight. Today′s cognitive computing solutions indicate an intelligent infrastructure that enables a new generation of customer and smart applications in all industries.

Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human machine interaction. This International Conference focused cognitive computing technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches.

More information is available here: http://bdcc-conf.org/

About Data Technologies and Applications

Data Technologies and Applications is now an inter-disciplinary journal with broader coverage. It continues to cover Computing and Information Science, but now also the Social Sciences in general and any other discipline that is concerned with digital data. In all cases, research papers should include relevant evaluation or empirical content. Surveys on important emerging topics are also sought, whenever they follow a rigorous and systematic approach to review the literature and a sound and insightful analysis of promising avenues for research.

Submissions to Data Technologies and Applications are made using ScholarOne Manuscripts, the online submission and peer review system. Registration and access is available at https://mc.manuscriptcentral.com/dtaa. If you are unable to find the information you need in the author guidelines or our author resources page.