Call for Papers
2015 IEEE International Conference on Big Data (IEEE Big
Data 2015)
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:
Paper Submission:
Please submit a full-length paper (upto 10 page IEEE
2-column format) through the online submission system.
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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