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[Big Data 2014] 2014 Big Data Workshop CFP

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Big Data Workshop 2014: The 2nd International Workshop on Big Data

Location: Shanghai, China, October 10 - 12, 2014

Co-Sponsored by:
IEEE Computer Society (Technically Co-sponsored)
IEEE Technical Committee on Simulation
IEEE CS Task Force on Networked Mobile Systems
Beijing Jiaotong University, China
University of Louisville, USA

Patrons: AT&T, InfoBeyond, Pivotal, RainStor and Huawei

Important Dates
May 15, 2014 - Conference Paper Submission Deadline
June 15, 2014 - Notification of Acceptance/Rejection & Registration Starts
August 1, 2014 - Camera-Ready Paper Submission Due & Registration Due
Contact:
For more information about the conference, please visit www.CyberC.org  or =

contact us at Papers@CyberC=2Eorg=2E=20

Big Data recently has become a new ubiquitous term to describe large =

datasets that are challenging to store, search, share, visualize, and =

analyze=2E Effective management and analysis of the Big Data would bring =

great benefits and unique opportunities to the users=2E However, the =

conventional methods are limited on providing desirable operations on Big =

Data=2E The Big Data workshop 2014 (BigData 2014) is to promote research =

works in this emerging area of Big Data-inspired computing, networks, =

systems, and applications=2E BigData 2014, held in conjunction with CyberC =

2014, aims to provide a leading forum for sharing and exchanging =

experiences, new ideas, and research results on broad topics of Big Data =

Research, Development, and Applications=2E It solicits high quality papers =

that illustrate novel Big Data models, architecture and infrastructure, =

management, search and processing, security and privacy, applications, =

surveys and industrial experiences=2E=20

Authors of Big Data workshop 2014 are promoted to freely enjoy CyberC 2014 =

and Big Data Summit=2E Both of the events are co-sponsored and participated =

by several Big Data related industry companies=2E
Authors are cordially invited to submit original research papers in any =

aspects of Big Data with emphasis on but are not limited to the following =

topics:=20

Big Data Theory and Foundation
=E2=80=A2	Theoretical and Computational Models for Big Data
=E2=80=A2	Information Quantitative and Qualitative for Big Data
=E2=80=A2	Theories and Methodologies for Big Data Processing=20
=E2=80=A2	Architectures and Designs of Big Data Processing Systems

Big Data Infrastructure
=E2=80=A2	Cloud/Grid/Stream Computing for Big Data
=E2=80=A2	High Performance/Parallel Computing Platforms for Big Data
=E2=80=A2	System Architectures, Platforms, Design, and Deployment for Big =

Data
=E2=80=A2	Energy-efficient Computing for Big Data
=E2=80=A2	Programming Models and Environments for Cluster, Cloud, and Grid =

Computing

Big Data Management
=E2=80=A2	Advanced Database and Web Applications for Big Data
=E2=80=A2	Data Model and Structure for Big Data
=E2=80=A2	Data Preservation and Provenance
=E2=80=A2	Interfaces to Database Systems and Analytics Software
=E2=80=A2	Data and Information Integration and Fusion for Big Data
=E2=80=A2	Data Management for Mobile, Pervasive and Grid Computing
=E2=80=A2	Scientific and Social Data Management and Workflow Optimization

Big Data Search and Processing
=E2=80=A2	Big Data Search Architecture, Scalability, and Efficiency
=E2=80=A2	Algorithms and Architectures for Big Data Search, Mining and =

Processing
=E2=80=A2	Search, Store and Process Big Data in Distributed, Grid and Cloud =

Systems
=E2=80=A2	Semantic-based Big Data Analytics and Processing
=E2=80=A2	Multi-Structured Multi-Domain Big Data Fusion and Integration
=E2=80=A2	Ontology Representations and Processing in Big Data
=E2=80=A2	Automatic and Machine Learning Methods for Big Data
=E2=80=A2	Hadoop and MapReduce based Approaches for Big Data Processing

Big Data Protection, Security and Privacy
=E2=80=A2	Threat and Intrusion Detection for High Speed Networks
=E2=80=A2	High Performance and Efficiency Data Cryptography
=E2=80=A2	Privacy Threats Analysis for Big Data Systems
=E2=80=A2	Visualizing Large Scale Security Data
=E2=80=A2	Security and Risk in Big Data Processing
=E2=80=A2	Trust, Reputation and Recommendation Systems for Big Data Systems
=E2=80=A2	Privacy and Security Preservation for Multi-Level Security (MLS) =

Cross-domain Big Data Computing System

Big Data Applications
=E2=80=A2	Big Data Applications and Software in Science, Engineering, =

Healthcare, Finance, Business, Transportation, Telecommunications, etc=2E
=E2=80=A2	Big Data Analytics in Small Business Enterprises, Public Sector =

and Government=2E
=E2=80=A2	Big Data Industry Standards
=E2=80=A2	Development and Deployment Experiences with Big Data Systems.

Technical Program Committee=09
Shared with CyberC 2014=20

Submissions
Authors are invited to submit original technical papers to http://edas.info/ =

by selecting =E2=80=9CBig Data 2014=E2=80=9D=2E=20
Electronic submission to papers@cyberc.org with title of Big Data 2014 =

Submission is also accepted=2E
Please DO NOT submit both ways.=20

Publications
All accepted and presented papers, including the workshops=E2=80=99 papers, =

will be published by IEEE Computer Society's Conference Publishing Services =

(CPS) and are included in the IEEE Xplore database=2E They will further =

arranged for indexing through IEE INSPEC, EI (Compendex), and Thomson ISI=2E =

Authors of accepted papers, or at least one of them, should register and =

present their work at the conference, otherwise their papers will be removed =

from the digital libraries of IEEE Xplore and EI after the conference=2E=2E


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