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BigDAW 2016 : Workshop on Big Data Analytics (BigDAW16) at Computing Frontiers 2016


When May 16, 2016 - May 18, 2016
Where Como
Submission Deadline TBD
Categories    big data   machine learning   deep learning   data analytics

Call For Papers

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 significant impact in a wide range of domains including health care, bio-medical research, Internet search, finance and business informatics, and scientific computing.

Despite considerable advancements on high performance, large storage, and high computation power, there are challenges in identifying, clustering, classifying, and interpreting of a large spectrum of information.

The purpose of this workshop is to provide a fertile ground for collaboration between research institutions and industries and in analytics, machine learning, and high performance computing.

Topics of interest are:

High performance data analytics

Machine and deep learning

Data search and representation

Architecture and system design

Cloud-based big data solutions

Software infrastructures

Submission Guidelines

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 SIG alternate style. These limits include 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.

Important Dates

Submission Deadline Extended: February 25, 2016
Decision Notification: March 11, 2016
Camera-Ready Copy: March 25, 2016

Workshop Committee

Roberta Piscitelli, (organizer)

Alessandro Morari, PNNL, US
Efstratios Gavves, University of Amsterdam, NL
Emiliano Mancini, University of Amsterdam, NL
Giovanni Mariani, IBM Research, NL
Marily Nika, Google, UK
Leandro Fiorin, IBM Research, NL
Vito Castellana, PNNL, US
Abhinav Vishnu, PNNL, US
Mahantesh Halappanaver, PNNL, US
Giovanni Beltrame, Ecole Politechnique of Montreal, CA
Reggie Cushing, University of Amsterdam, NL

Related Resources

UCC 2018   11th IEEE/ACM International Conference on Utility and Cloud Computing
ICDM 2018   IEEE International Conference on Data Mining
BDCAT 2018   5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies
ACML 2018   The 10th Asian Conference on Machine Learning
SI: Big Data Exploration, Visualization 2018   Special Issue on Big Data Exploration, Visualization and Analytics
ICANN 2018   27th International Conference on Artificial Neural Networks
DATA ANALYTICS 2018   The Seventh International Conference on Data Analytics
BMVC 2018   British Machine Vision Conference
ICBDA 2018   International Congress on Big Data & Analytics 2018
ECML-PKDD 2018   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases