[hpc-announce] CFP: BIDMA 2016 in Calgary, Canada

Nizar Obeid naz.obeid at gmail.com
Thu Mar 10 01:36:02 CST 2016

Welcome to BIDMA 2016

*International Symposium on Big Data Management and Analytics*

April 25-26, 2016

Calgary, Alberta


Important Dates

Paper submission deadline   March 15, 2016 11:59 PM (UTC-07) (Firm)

Notification of acceptance     March 30, 2016

EasyChair submission link is:

*We welcome extended abstracts of up to two pages describing completed or
ongoing research *

*Full papers of all accepted submissions will be published in a post
conference edited book by Springer. Some papers will be selected for
publication in SNAM journal by Springer.*

The organizing committee is delighted to invite you to BIDMA, the first
International Symposium on Big Data Management and Analytics to be held on
magnificent Canadian prairies land and Rocky Mountains foothill in Calgary
on April 25-26, 2016.
Symposium on big data management and analytics aims to bring together
leading experts from academia and industry to discuss effective and
efficient approaches in dealing with the inherent complexity and increasing
demands in "Data Science", aka all aspects related to Big Data.

Since cloud computing has turned computing and software into everyday
services, the business revolution aspect of Big Data has become as
challenging and interesting as technical revolution. Insights and impacts
of various types of services (infrastructure as a service, platform as a
service, software as a service, and business process as a service) have to
be studied and re-examined.

*Big Data Management and Analytics Symposium 2016 major topics include but
not limited to:*

   - Big Data Architecture
   - Big Data Modeling
   - Big Data as a Service
   - Big Data for Vertical Industries (Government, Healthcare, etc.)
   - Big Data Analytics
   - Big Data Toolkits
   - Big Data Open Platforms
   - Economic Analysis
   - Big Data for Enterprise Transformation
   - Big Data in Business Performance Management
   - Big Data for Business Model Innovations and Analytics
   - Big Data in Enterprise Management Models and Practices
   - Big Data in Government Management Models and Practices
   - Big Data in Smart Planet Solutions
   - Data Analytics for Health Care
   - Big Data Representation, Acquisition , Storage and retrieval

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