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HIGHLIGHTS: -- The session is organized as a part of the IEEE Big Data 2019 conference (December 9-12, Westin Bonaventure Hotel & Suites, Los Angeles, CA, USA), which is a well-established and highly competitive international event targeted at modern trends in big data processing and analytics.-- The session is intended to be a forum for discussing concepts, issues, and methods by the leading researchers in the fundamental problems of Information Granulation and Granular Computing in an atmosphere promoting the exchange of ideas and viewpoints.
Many operations in the big data domain, such as merging user data from various sources for building an AI model, will be considered illegal under the new regulatory framework if they are performed without explicit user authorization.
In order to explore how the AI research community can adapt to this new regulatory reality, we organize this special track on Federated Machine Learning (FML).
Accepted papers will be published in the conference proceedings. Uraz Yavanoglu Department of Computer Engineering Vice-Chairman Gazi University, Turkey important dates for this special session are: Full Paper Submission Deadline : Sept 15, 2019 pm PST Notification of Acceptance : Oct 5, 2019 Camera-ready papers & Pre-registration : Nov 10, 2019, pm PST Conference Dates : Dec 9-12, 2019 December 9-12, 2019 Los Angeles, CA, USA Privacy and security are becoming a key concern in our digital age.
All accepted papers must be presented by one of the author/s in the conference to include the article in the proceedings ( Uraz Yavanoglu ([email protected], [email protected], [email protected]) Special Session Organizer: Asst. Companies and organizations are collecting a wealth of data on a daily basis.
At least one author of each accepted paper is expected to register for and attend the conference.
Topics include but not limit to: Techniques: Important dates Electronic submission of full papers: Sep 15, 2019 Notification of paper acceptance: Oct 16, 2019 Camera-ready of accepted papers: Nov 10, 2019 Conference: Dec 9-12, 2019 Submission Instructions Please submit a full-length paper (up to 10 page IEEE 2-column format) through the online submission system.
“To become smarter” requires an impeccable data analytics.
All stakeholders in the sector should reveal the deep value of this valuable data in order to apply insights to improve quality of care, clinical outcomes and deliver personalized healthcare value, while reducing medical costs, collaborate across care settings to deliver integrated, personalized care experiences, prevent disease, promote wellness and manage care, build flexibility into operations to support cost reduction and excellence in clinical and business performance and practices The general purpose of this special session in IEEE Big Data 2019 conference is to bring together researchers, academicians and sector employees from different fields and disciplines and provide them an independent platform to exchange information on their researches, ideas and findings about healthcare data and its analytics.
Though the label is relatively recent, the notions and principles of Granular Computing and Information Granulation, under different names, have appeared in many related fields, such as information hiding in programming, granularity in artificial intelligence, divide and conquer paradigms in theoretical computer science, interval computing, cluster analysis, fuzzy and rough set systems, neuro computing, quotient spaces, belief functions, approximate analytics, approximate computing, deep neural networks and many others.
Thus, "Information granule = Fundamental of Human Knowledge": As a meta-mathematical methodology, computation of information granules gives a theoretical framework of big data analytics.