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IEEE BigData 2014 : 2014 IEEE International Conference on Big Data

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Link: http://cci.drexel.edu/bigdata/bigdata2014/dates.htm
 
When Oct 27, 2014 - Oct 30, 2014
Where Washington DC
Submission Deadline Jul 13, 2014
Notification Due Sep 1, 2014
Final Version Due Sep 25, 2014
Categories    BIGDATA
 

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 Qualityfor 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/StreamData 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 DataSearch
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 DataAnalytics
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 25 NSF student travel awards 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. RaghunathNambiar, Cisco Systems Inc, USA

BigData Steering Committee Chair:
Prof. Xiaohua Tony Hu, Drexel University, USA, thu@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 13, 2014
Notification of paper acceptance: Sept 1, 2014
Camera-ready of accepted papers: Sept 25, 2014
Conference: October 27-30, 2014




Last update: 27 June 2014

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