[Ieee_vis] IEEE Big Data 2015 Call for Papers

[CFP 2015conference]

Call for Papers

2015 IEEE International Conference on Big Data  (IEEE Big Data 2015)

http://cci.drexel.edu/bigdata/bigdata2015/

Oct 29-Nov 1  2015,  Santa Clara, CA, 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/ , regular paper
acceptance rate: 17.0%)  was held in Santa Clara , CA from Oct 6-9, 2013
with more than 400 registered participants from 40 countries. The IEEE Big
Data 2014 (http://cci.drexel.edu/bigdata/bigdata2014/index.htm, regular
paper acceptance rate: 18.5.0%) was held in Washington DC, Oct 27-30, 2014
with more than 600 registered participants from 45 countries. The 2015 IEEE
International Conference on Big Data (IEEE Big Data 2015) will continue the
success of the previous IEEE Big Data conferences. 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:

Big Data Science and Foundations
Novel Theoretical Models for Big Data
New Computational Models for Big Data
Data and Information Quality for Big Data
New Data Standards

Big Data Infrastructure
Cloud/Grid/Stream Computing for Big Data
High Performance/Parallel Computing  Platforms for Big Data
Autonomic Computing and Cyber-infrastructure, System Architectures, Design
and Deployment
Energy-efficient Computing for Big Data
Programming Models and Environments for Cluster, Cloud, and Grid Computing
to Support Big Data
Software Techniques andArchitectures in Cloud/Grid/Stream Computing
Big Data Open Platforms
New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
Software Systems to Support Big Data Computing

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


Big Data Search and Mining
Social Web Search and Mining
Web Search
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Big Data Search  Architectures, Scalability and Efficiency
Data Acquisition, Integration, Cleaning,  and Best Practices
Visualization Analytics for Big Data
Computational Modeling and Data Integration
Large-scale Recommendation Systems and Social Media Systems
Cloud/Grid/StreamData Mining- Big Velocity Data
Link and Graph Mining
Semantic-based Data Mining and Data Pre-processing
Mobility and Big Data
Multimedia and Multi-structured Data- Big Variety Data

Big Data Security & Privacy
Intrusion Detection for Gigabit Networks
Anomaly and APT Detection in Very Large Scale Systems
High Performance Cryptography
Visualizing Large Scale Security Data
Threat Detection using Big Data Analytics
Privacy Threats of Big Data
Privacy Preserving Big Data Collection/Analytics
HCI Challenges for Big Data Security & Privacy
User Studies for any of the above
Sociological Aspects of Big Data Privacy


Big Data Applications
Complex Big Data Applications  in Science, Engineering, Medicine,
Healthcare, Finance, Business, Law, Education, Transportation, Retailing,
Telecommunication
Big Data Analytics in Small Business Enterprises (SMEs),
Big Data Analytics in Government, Public Sector and Society in General
Real-life Case Studies of Value Creation through Big Data Analytics
Big Data as a Service
Big Data Industry Standards
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  2015 will offer at least 25 student travel awards (the
number may be increased later if more sponsorship funds are obtained)  to
student authors (including post-doc)  (IEEE Big Data 2014 –35 student
travel awards, IEEE Big Data 2013 – 17 student travel awards)

Journal Publication
A set of papers will be selected for a fast-track review and then published
at the IEEE Transactions on Big Data (in IEEE Big Data 2014, 10 papers were
selected)


Conference Co-Chairs:
Dr. Laura Hass, IBM Research Accelerated Discovery Lab, USA
Prof. Vipin Kumar, University of Minnesota, USA


Program Co-Chairs:
Dr. Howard Ho, IBM Amerdan Research Center, USA
Prof. Beng Chin Ooi, National University of Singapore, Singapore
Prof. Prof. Mohammed J. Zaki, Qatar Computing Research Institute, Qatar,
                                                    Rensselaer Polytechnic
Institute, USA

Industry and Government Program Committee Chair
Dr. Morris Hui-I Hsiao, Institute for Information Industry, Taiwan
Dr. Jian Li, Huawei Technologies Co. Ltd, USA
Dr. Sudarsan Rachuri, National Institute of Standard and Technology, USA
Dr. Shipeng Yu, LinkedIn, USA

BigData Steering Committee Chair:
Prof. Xiaohua Tony Hu, Drexel University, USA, xh29 at drexel.edu

Paper Submission:
Please submit a full-length paper (upto 10 page IEEE 2-column format)
through the online submission system.
https://wi-lab.com/cyberchair/2015/bigdata15/scripts/submit.php?subarea=BigD
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, 2015
Notification of paper acceptance: Sept 4, 2015
Camera-ready of accepted papers: Sept 25, 2015
Conference: October 29-Nov 1, 2015

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