Co-located with ACM International Conference on Computing Frontiers 2017
Aim and scope
Managing and processing large volumes of data, or “Big Data”, and gaining meaningful insights is a significant challenge facing the distributed computing community. As a consequence, many business are demanding large-scale streaming data analytics. This has a significant impact on a wide range of domains, including health care, bio-medical research, Internet searches, finance and business informatics, and scientific computing.
Despite considerable progress in high performance, storage capacity, and computation power, challenges remain in identifying, clustering, classifying, and interpreting a large spectrum of information.
The purpose of this workshop is to provide a fertile ground for collaboration among research institutions and industries in the fields of analytics, machine learning, and high-performance computing.
Topics of interest
- High-performance data analytics
- Machine and deep learning
- Data search and representation
- Architecture and system design
- Cloud-based Big Data solutions
- Software infrastructures
Authors are invited to submit full papers to the workshop. Full papers must be submitted through the workshop submission site. Full papers should not exceed six double-column pages in ACM conference format. This limit includes figures, tables, and references.
Accepted papers will be published in the workshop proceedings and in the ACM Digital Library (note that authors of these works retain their copyright rights to publish more complete versions later). As per ACM guidelines, at least one of the authors of accepted papers is required to register for the workshop.
|Start||15 May 2017 08:00 CET|
|End||17 May 2017 18:00 CET|
|Submission deadline extended||
5 March 2017
|Decision notification||30 March 2017|
|Camera-ready copy||4 April 2017|
- Roberta Piscitelli
- Giovanni Mariani
- Mario Barbareschi
University of Naples Federico II, IT
- Sandro Fiore
Euro-Mediterranean Center on Climate Change, IT
- Leandro Fiorin
IBM Research, NL
- Dimitra Gkorou
- Rik Jongerius
IBM Research, NL
- Emiliano Mancini
University of Amsterdam, NL
- Abhishek Mukherjee
Oramon Labs, NL
- Christian Pilato
University of Lugano, CH
- Annalisa Riccardi
University of Strathclyde, UK
- Mark Thompson
Leids Universitair Medisch Centrum, NL