From Data to Knowledge: Big Data applications and solutions

The Second International Symposium on Ubiquitous Networking
Casablanca, May 30 - June 1st, 2016
Special session


http://www.unet-conf.org/Sessions/Session2.php


Big data is an emerging paradigm applied to datasets whose size is large and complex that traditional data processing applications are inadequate. Such datasets are often from various sources (Variety) yet unstructured such as sensors, social media, scientific applications, surveillance, video and image archives, data indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). To realize the full potential of Big Data, we need to address several challenges and develop suitable conceptual and technological solutions for dealing them. These include life-cycle management of data, large-scale storage, flexible processing infrastructure, data modelling, scalable machine learning and data analysis algorithms, techniques for sampling and making trade-off between data processing time and accuracy, and dealing with privacy and ethical issues involved in data sensing, storage, processing, and actions.
Prospective authors are cordially invited to submit their original contributions covering completed or ongoing work related to the area of Big Data applications and solutions.

The topics include but are not limited to:

Big Data Science
Big Data Search
Algorithms for Big Data
Big Data Acquisition, Integration, Cleaning, and Best Practices
Visualization of Big Data
Big Data Infrastructures and Platforms
Programming Systems
Performance evaluation
Fault tolerance and reliability
I/O and Data management
Storage Systems (including file systems, NoSQL, and RDBMS)
Resource management
Big Data Security and Policy
Management Policies
Data Privacy
Data Security
Big Data Archival and Preservation
Big Data Provenance
Big Data Applications
Big Data Applications at Scale
Data streaming applications
Scientific application cases studies on Cloud infrastructure
Experience Papers with Big Data Application Deployments

Publications
All accepted papers will appear in the proceedings published by Springer.

Important dates:
Submission Due: March 31, 2016
Notification of Acceptance: April 15, 2016
Camera-Ready Due: 30 April, 2016

Paper Format and Submission:
Format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
Easychair submission: https://easychair.org/conferences/?conf=unet2016.


For any inquiry, contact us by email at: said.jaiandaloussi@etude.univcasa.ma