2017 Big Data Conference Call for Papers

2017 Big Data Conference Call for Papers
https://bigdataconf.org/science.html
 
The 2017 Big Data Conference (formerly International Conference on Big Data and Its Applications) will continue the success of the previous Big Data conferences (ICBDA). It will provide a leading forum for disseminating the latest results in Big Data Research, Development, and Applications from business, technological and scientific points of view.
For the scientific track of the conference solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor/IoT/IoE, and multimedia (audio, video, image, etc.) big data systems and applications. Example topics of interest 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 and Architectures 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 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/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 and Trust
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
Trust management in IoT and other Big Data Systems
Big Data Applications and Machine Learning
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
Novel Theoretical Models for Machine Learning
New Computational Models for Artificial Intelligence
Data and Information Curation for Machine Learning
Cyber-Physical Systems

The proceedings of the conference will be published in

Journal of Physics: Conference Series (JPCS), and indexed by Web Of Science Conference Proceedings Index и Scopus.

Please submit full paper (up to 9 pages) at

https://easychair.org/conferences/?conf=bdc2017

The language of the papers and the oral presentation is English.

Requirements for the article:
  The articles should be in strict accordance with the rules (page size - A4, margins - 4cm (top), 2.5cm (left and right) and 2.7cm (bottom)
Microsoft Word templates
Basic guidelines for preparing a paper
Guidelines for preparing reference lists
 
Important dates:
August 25, 2017 – deadline for full paper submission
September 10, 2017 – notification of acceptance
September 15, 2017 – Conference

Conference Co-Chairs
Igor Balk,
Global Innovation Labs, USA
Maria Podlesnova, Rusbase, Russia

Scientific track program committee co-chairs:
Igor Balk,
Global Innovation Labs, USA
Andrey Raigorodsky, MIPT, Russia
Evgeny Niikulchev, MTI, Russia

Should you have any questions feel free to contact  science@bigdataconf.org  +7-902-26-20-148

Yours sincerely,

Evgeniya Fedorova
+7-902-26-20-148
https://bigdataconf.org/science.html