[DL] IEEE Big Data CFP (deadline: July 1, 2014)

[Yuan Ling]

Call for Papers

2014 IEEE International Conference on Big  Data  (IEEE BigData 2014)
http://cci.drexel.edu/bigdata/bigdata2014/index.htm
October  27-30, 2014, Washington DC, USA

In recent years, “Big Data” has become a new ubiquitous term. Big Data is
transforming
science, engineering, medicine, healthcare, finance, business, and
ultimately society itself.
The IEEE Big Data has established itself as the top tier research
conference in Big Data. The
first conference IEEE Big Data 2013 (
http://cci.drexel.edu/bigdata/bigdata2013/ ) was held in
Santa Clara , CA from Oct 6-7, 2013, 259 paper submissions for the main
conference and 32
paper submissions for the industry and government program. Of those, 44
regular papers and 53
short papers were accepted, which translates into a selectivity that is
on-par with top tier
conferences. Also, there were 14 workshops associated with IEEE Big Data
2013 covering various
important topics related to various aspects of Big Data research,
development and
applications, and more than 400 participants from 40 countries attend the
4-day event.
The IEEE International Conference on Big Data 2014(IEEE BigData 2014)
continues the success of
the IEEE BigData 2013. It will provide a leading forum for disseminating
the latest research
in Big Data Research, Development, and Applications.
We solicit high-quality original research papers (including significant
work-in-progress) in
any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety,
Value and Veracity)
relevant to variety of data (scientific and engineering, social,
sensor/IoT/IoE, and
multimedia-audio, video, image, etc) that contribute to the Big Data
challenges. This includes
but is not limited to the following:

1. Big Data Science and Foundations
a. Novel Theoretical Models for Big Data
b. New Computational Models for Big Data
c. Data and Information Quality for Big Data
d. New Data Standards

2. Big Data Infrastructure
a. Cloud/Grid/Stream Computing for Big Data
b. High Performance/Parallel Computing  Platforms for Big Data
c. Autonomic Computing and Cyber-infrastructure, System Architectures,
Design and Deployment
d. Energy-efficient Computing for Big Data
e. Programming Models and Environments for Cluster, Cloud, and Grid
Computing to Support Big Data
f. Software Techniques andArchitectures in Cloud/Grid/Stream Computing
g. Big Data Open Platforms
h. New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
i. Software Systems to Support Big Data Computing

3. Big Data Management
a. Search and Mining of variety of data including scientific and
engineering, social, sensor/IoT/IoE, and multimedia data
b. Algorithms and Systems for Big DataSearch
c. Distributed, and Peer-to-peer Search
d. Big Data Search  Architectures, Scalability and Efficiency
e. Data Acquisition, Integration, Cleaning,  and Best Practices
f. Visualization Analytics for Big Data
g. Computational Modeling and Data Integration
h. Large-scale Recommendation Systems and Social Media Systems
i. Cloud/Grid/Stream Data Mining- Big Velocity Data
j. Link and Graph Mining
k. Semantic-based Data Mining and Data Pre-processing
l. Mobility and Big Data
m. Multimedia and Multi-structured Data- Big Variety Data


4. Big Data Search and Mining
a. Social Web Search and Mining
b. Web Search
c. Algorithms and Systems for Big Data Search
d. Distributed, and Peer-to-peer Search
e. Big Data Search  Architectures, Scalability and Efficiency
f. Data Acquisition, Integration, Cleaning,  and Best Practices
g. Visualization Analytics for Big Data
h. Computational Modeling and Data Integration
i. Large-scale Recommendation Systems and Social Media Systems
j. Cloud/Grid/StreamData Mining- Big Velocity Data
k. Link and Graph Mining
l. Semantic-based Data Mining and Data Pre-processing
m. Mobility and Big Data
n. Multimedia and Multi-structured Data- Big Variety Data

5. Big Data Security & Privacy
a. Intrusion Detection for Gigabit Networks
b. Anomaly and APT Detection in Very Large Scale Systems
c. High Performance Cryptography
d. Visualizing Large Scale Security Data
e. Threat Detection using Big Data Analytics
f. Privacy Threats of Big Data
g. Privacy Preserving Big Data Collection/Analytics
h. HCI Challenges for Big Data Security & Privacy
i. User Studies for any of the above
j. Sociological Aspects of Big Data Privacy


6. Big Data Applications
a. Complex Big Data Applications  in Science, Engineering, Medicine,
Healthcare, Finance, Business, Law, Education, Transportation, Retailing,
Telecommunication
b. Big Data Analytics in Small Business Enterprises (SMEs),
c. Big Data Analytics in Government, Public Sector and Society in General
d. Real-life Case Studies of Value Creation through Big Data Analytics
e. Big Data as a Service
f. Big Data Industry Standards
g. Experiences with Big Data Project Deployments


INDUSTRIAL Track
The Industrial Track solicits papers describing implementations of Big Data
solutions relevant
to industrial settings. The focus of industry track is on papers that
address the practical,
applied, or pragmatic or new research challenge issues related to the use
of Big Data in
industry. We accept full papers (up to 10 pages) and extended abstracts
(2-4 pages).

Student Travel Award
IEEE Big Data  2014 will offer as many student travel awards as possible to
student authors
(including post-doc)  (IEEE Big Data 2013 – 17 student travel awards)

Conference Co-Chairs:
Dr. Charu Aggarwal, IBM T.J Watson Research, USA
Prof. Nick Cercone, York University, Canada
Prof. Vasant Honavar, Penn State University, USA

Program Co-Chairs:
Prof. Jimmy Lin, University of Maryland, USA
Prof. Jian Pei, Simon Fraser University, Canada

Industry and Government Program Committee Chair
Mr. Wo Chang, National Institute of Standard and Technology, USA
Dr. Raghunath Nambiar, Cisco Systems Inc, USA

BigData Steering Committee Chair:
Prof. Xiaohua Tony Hu, Drexel University, USA, thu at cis.drexel.edu

Paper Submission:
Please submit a full-length paper (upto9 page IEEE 2-column format) through
the online

submission system.
http://wi-lab.com/cyberchair/2014/bigdata14/cbc_index.php
Papers should be formatted to IEEE Computer Society Proceedings Manuscript
Formatting

Guidelines (see link to "formatting instructions" below).

Formatting Instructions
8.5" x 11" (DOC, PDF)
LaTex Formatting Macros
Important Dates:

Electronic submission of full papers: July 1, 2014
Notification of paper acceptance: Sept 1, 2014
Camera-ready of accepted papers: Sept 25, 2014
Conference: October 27-30, 2014

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