The concept of big data has been around for years; most organizations now understand that if they capture all the data that streams into their businesses, they can apply analytics and get significant value from it. But even in the 1950s, decades before anyone uttered the term " big data," businesses were using basic analytics (essentially numbers in a spreadsheet that were manually examined) to uncover insights and trends. The new benefits that big data analytics brings to the table, however, are speed and efficiency. Whereas a few years ago a business would have gathered information, run analytics and unearthed information that could be used for future decisions, today that business can identify insights for immediate decisions. The ability to work faster - and stay agile - gives organizations a competitive edge they didn't have before.
Big data analytics helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers. A central goal of artificial intelligence has long been to construct a complete intelligent agent that can perceive its environment, generate plans, execute those plans, and communicate with other agents. The pursuit of this dream naturally led many researchers to focus on the component tasks of perception, planning, control, and natural language, or on generic issues that cut across these tasks, such as representation and search. Over the years, the AI field has gradually fragmented into many distinct communities, each concerned with a different facet of intelligent behavior.
Topics in ICBAIT'18 include, but are not limited to:
Submission of full papers presenting novel ideas of knowledge management, big data, cloud computing, innovations and IoT are welcomed. Papers should contain original contributions not published or submitted elsewhere, and references to related state-of-the-art work
Papers reporting original and unpublished research results pertaining to the above topics are solicited . Full paper and all submissions deadline is 9th February, 2018. These papers will follow an academic review process. All submitted papers will undergo a thorough review process; each paper will be refereed by at least three experts in the field, based on relevance, originality, significance, quality and clarity.
Submitting Papers: The authors are requested to submit full papers according to the IEEE format attached (click here). The authors are requested to submit their original research papers in .doc file format, by e-mail to email@example.com
Publication: Accepted papers will be included in the ICBAIT-2018 Proceedings. At least one of the authors will be required to register and attend the conference to present the paper in order to include the paper in the conference proceedings. All accepted papers will be published in the reputed journal indexed in Scopus and recognized by the UGC.
To motivate the students about the growing developments in Machine learning and to study about the various algorithms and the complexity involved in the algorithms a Tutorial session is arranged in the forenoon session on 2nd March 2018. The Tutorial will give an in depth knowledge about methodology developed to build a machine to learn and do things according to the situation.
Contributed Papers, if selected for posters, will be intimated separately.
Best Award for Poster Presentation
For any queries contact Co-Convenor
|Account Name||Department of Computer Science|
|Name of Bank||State Bank of India|
|Branch||Madurai Kamaraj University|