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:
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 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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