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October 12, 2017 - October 14, 2017

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​​Encouraged by the resounding success ​of the p​previous​ editions of REDSET, The 3rd International Conference on Recent Developments in Science, Engineering and Technology (REDSET 2017) focuses on experimental, theoretical and application aspects of innovations in computational intelligence. The Conference aims to create a community of researchers, scholars and experts from academia and industry working on computation​al​ intelligence and its application areas in fields of basic and applied sciences, engineering and technology to share their research findings.



Data analytics seeks to provide operational observations into issues that we either know we know or know we don’t know. Descriptive analytics, for example, quantitatively describes the main features of a collection of data. Predictive analytics that focus on correlative analysis predicts relationships between known random variables or sets of data in order to identify how an event will occur in the future. For example, identifying the where to sell personal power generators and the store locations as a function of future weather conditions (e.g., storms). While the weather may not have caused the buying behavior, it often strongly correlates to future sales.Analysis is a part of any scientific research and it is a first step in building a theory. The second step is synthesis which actually builds or creates a theory. It is also important to remember that science is not about results, but a about a methodology to get them. The focus si big data applications to tackle the problem of decision-making under uncertainity by using machine learning methods and graph theory to analyse complex structures in big data to build recommender systems and predictive models.

With the same spirit we invite researchers from around the globe to converge at REDSET-2017 to discuss their research in multidisciplinary environment. As Science and Technology have no borders hence an effort in this regard is proposed by GD Goenka University to inculcate an international dialogue between scientists and engineers around the world to put forward the recent trends and practices in Data Science and Analytics for providing solutions to real world problems.