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CFP
BDC 2018: Big Data Conference 2018
Moscow, Russia, September 14, 2018
Conference websitehttp://bigdataconf.org
Submission linkhttps://easychair.org/conferences/?conf=bdc2018
Submission deadlineAugust 24, 2018

 The 2018 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 Indexи Scopus.

Please submit full paper (up to 9 pages) at https://easychair.org/conferences/?conf=bdc2018

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 24, 2018– deadline for full paper submission

September 3, 2018– notification of acceptance

September 14, 2018– 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, tel: +7-902-26-20-148

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