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=============================================================================== CALL FOR PAPERS International Workshop on Data Science and Computational Intelligence (DSCI) In Conjunction with the 14th IEEE International Conference on Ubiquitous Intelligence and Computing http://dsci2016.weebly.com Contact: Fei Hao [email protected] Submission Deadline: April 25, 2017 Author Notification: May 10, 2017 Final Manuscript Due: June 10, 2017 ============================================================= Introduction: This year, the Data Science and Computational Intelligence (DSCI) is especially dedicated to the celebration of the 61st anniversary of Artificial Intelligence. Aiming at creating computers and computer software capacity of intelligent behavior, throughout the sixty years' journey many amusing achievements have been made, including the recent AlphaGo, a.k.a, the Deep Reinforcement Learning, an intelligent computer program who beat Lee Sedol, a 9-dan professional player in a five-game match of Go. Such a task was considered an impossible mission if looking back in just a decade ago. As we enter the big data era, Web Intelligence has extended and made use of artificial intelligence for new products, services and frameworks that are empowered by the World Wide Web. The purpose of this workshop is to identify challenging problems facing the development of innovative knowledge and information systems, and to shape future research directions through the publication of high quality, applied and theoretical research findings. In DSCI 2017, we will continue the tradition of promoting collaboration among multiple areas. This year we are highlighting the advances in frontiers and applications of general areas such as big data, artificial intelligence, social computing, data mining, information retrieval, and machine learning etc. DSCI is uniquely placed to deliver fresh perspectives on big data science. Topics of interest include, but are not limited to, the following areas: * Big Data * Data Science * Computational Intelligence * Data Mining * Machine Learning * Recommender Systems * Deep Learning * Reinforcement Learning * Ubiquitous Computing * Software Engineering * Soft Computing General Co-Chairs: Muhammad Atif Qureshi, National University of Ireland Galway, Ireland Fei Hao, Shaanxi Normal University, China Shuai Li, University of Insubria, Italy Program Committee Members: TBD Accepted papers must contain novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established or their potential for scientific and technological impact. All papers need to be submitted electronically through submission link: The materials presented in the papers should not be published or under submission elsewhere. Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press. At least one of the authors of any accepted paper is required to attend the conference.