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The 3rd IEEE International Conference on Data Science and Advanced Analytics

Du 17 au 19 octobre 2016 - Montréal, Canada

Publié le 3 mars 2016, par Thérèse Hameau

Data driven scientific discovery is an important emerging paradigm for computing in areas including social, service, Internet of Things, sensor networks, telecommunications, biology, health-care and cloud. Under this paradigm, Data Science is the core that drives new researches in many areas, from environmental to social. There are many associated scientific challenges, ranging from data capture, creation, storage, search, sharing, modeling, analysis, and visualization. Among the complex aspects to be addressed we mention here the integration across heterogeneous, interdependent complex data resources for real-time decision making, streaming data, collaboration, and ultimately value co-creation. Data science encompasses the areas of data analytics, machine learning, statistics, optimization and managing big data, and has become essential to glean understanding from large data sets and convert data into actionable intelligence, be it data available to enterprises, Government or on the Web.

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IEEE DSAA’2016 will consist of two main Tracks : Research and Application ; the Research Track is aimed at collecting contributions related to theoretical foundations of Data Science and Data Analytics. The Application Track is aimed at collecting contributions related to applications of Data Science and Data Analytics in real life scenarios. DSAA solicits then both theoretical and practical works on data science and advanced analytics.

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Important Dates

Paper Submission deadline : Friday 20 May, 2016, 11:59 PM PDT
Notification of acceptance : 15 July, 2016
Final Camera-ready papers due : 19 August, 2016

DSAA 2016