CSP - 2017 IEEE International Conference on Data Science and Advanced Analytics
Abstract
Data driven scientific discovery is an important emerging paradigm for computing in areas including social computing, services, Inte""rnet of Things, sensor networks, telecommunications, biology, health-care, and cloud. It now emerges into almost every branch of sci""ence. Under this paradigm, Data Science is the core that drives new research in many areas, from environmental to social. There are"" many associated scientific challenges, ranging from data capture, creation, storage, search, sharing, modeling, analysis, and visua""lization. The complex aspects to be addressed include the integration across heterogeneous, interdependent complex data resources fo""r 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 f""rom large data sets and convert data into actionable intelligence, be it data available to Academia, Enterprises, Government or on t""he Web. DSAA takes a stronginterdisciplinary approach, features by its strong engagement with statistics and business, in addition"" to core areas including analytics, learning, computing and informatics..The 2017 IEEE International Conference on Data Science an""d Advanced Analytics (DSAA 2017) aims to provide a premier forum that brings together researchers, industry practitioners, as well a""s potential users of big data, for discussion and exchange of ideas on the latest theoretical developments in Data Science as well a""s on the best practices for a wide range of applications. DSAA 2017 will consist of two main tracks: Research and Applications, and" a series of Special sessions. The Research Track is aimed at collecting original contributions related to foundations of Data Science and Data Analytics. The Applications Track is aimed at collecting original papers (not published nor under consideration at any other venue) describing substantial contributions related to Data Science and Data Analytics in real life scenarios. DSAA solicits then both theoretical and practical works on data science and advanced analytics. Special sessions replace traditional workshop and are based on call for proposal. Research on emerging topics and focused but not-yet-main-stream-area is the target.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jun 09, 2017
- Source ID
- N629091712085
Entities
People
- Byeong Ho Kang
Organizations
- Office of Naval Research
- United States Navy
- University of Tasmania