Hintergrundbild © Stuttgart-Marketing GmbH
Benjamin Klöpper, Lena Wiese
Big Data stands for the intelligent and efficient handling and usage of large, heterogeneous and fast changing amounts of data. The ultimate goal of big data is the generation of valuable insights from ever growing amounts of data. Hence, the application of Big Data in business and industry contexts has proven to be very valuable. However, several challenges related to big data remain; these challanges go beyond the often used catchphrases: volume, velocity, variety, and veracity and also address security, privacy, linked-data technologies in the context of a wide range of AI applications. Big Data is more than just data analysis since the outcome influences the way how digital businesses and a knowledge economy are organized now and in the future.
This workshop is dedicated to the application of Big Data concepts and technologies in real-world systems for a variety of application domains like Manufacturing, Logistics, Media, Healthcare, and Finance.
Topics of interest include, but are not limited to:
We welcome practical experience reports as well as theoretical analyses of novel approaches and algorithms. Full (4 to 8 pages) and short (2 to 3 pages) papers are solicited. Submissions can be written in German or English and must consist of an original unpublished work not being under review elsewhere. Submission must adhere to the LNI formatting guidelines of the BTW main conference and must be uploaded as PDF documents through the BTW online submission system (Workshop BigBIA17). Submissions will be reviewed in a single blind review process by the workshop program committee members. Accepted papers will be published in GI Lecture Notes in Informatics (LNI).
|20.11.2016||Submission of Contributions (Deadline extended)|