The 6th IEEE International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService 2020)

Apr. 13 – 16, 2020

Keble College, Oxford, United Kingdom

https://www.big-dataservice.net/

Call For Papers

As computing systems become increasingly larger, more complex, distributed, and integrated, Big Data technologies and services are ever more vital. IEEE BigDataService 2020 provides an internationally leading forum for researchers and practitioners in academia and industry to exchange innovative ideas and share latest results, experiences and lessons learned in this crucial domain.

BigDataService seeks to include work from a wide range of technologies and domains – including (but not limited to) smart systems (e.g. in cities, automobiles, farms, etc.), cyber-physical systems, Internet of Things applications, healthcare, and social networks and media. Technological aspects of the event include service-oriented technologies, machine learning, predictive analytics, data modelling, system architectures, data mining, and simulation.

The conference will be co-located with IEEE SOSE 2020, IEEE MobileCloud 2020 and IEEE DAPPS 2020, and IEEE AITest 2020, and will consist of main tracks and special tracks.

The conference seeks the submission of high-quality full papers limited to up to 8 pages (IEEE format) in length. The submission of short, demo or industry papers limited to up to 4 pages (IEEE format) is possible, for works that make significant contributions, but are still in progress, or works of smaller scale that can be reported briefly.

The deadline for paper submission is on December 1st 2019. All accepted papers will be included in the IEEE proceedings. Selected papers will be invited for extension and published in journals (SCI- Index). The conference also welcomes workshop proposals – with a deadline of October 30th 2019.

TOPICS OF INTEREST (INCLUDE BUT NOT LIMITED TO)

Big Data Analytics and Mining

  • Algorithms and systems for big data search and analytics
  • Machine learning for big data
  • Predictive analytics and simulation
  • Big data visualization and interactive data exploration
  • Big data mining applications
  • Knowledge extraction, discovery, analysis, and presentation

Big Data Foundations

  • Foundational theoretical or computational models for big data
  • Programming models, theories, and algorithms for big data
  • Standards, protocols, and quality assurance for big data

Big Data Platforms and Technologies

  • Innovative, concurrent, and scalable big data platforms
  • Data indexing, cleaning, transformation, and curation technologies
  • Big data processing frameworks and technologies
  • Big data services and application development methods and tools
  • Big data quality evaluation and assurance technologies
  • Big data system reliability, dependability, and availability
  • Open-source development and technology for big data
  • Big Data as a Service (BDaaS) platform and technologies
  • Big data search (architecture, algorithms, scalability)

Integrated and Distributed Systems

  • Foundational theoretical or computational models for big data
  • Programming models, theories, and algorithms for big data
  • Standards, protocols, and quality assurance for big data
  • Sensor networks, IoT, Smart systems

Big Data and Machine Learning Applications and Experiences

  • Innovative big data applications and services in industries and domains e.g. healthcare, finance, insurance, transportation, agriculture, education, environment, multi-media, social networks, urban planning, disaster management, security
  • Big data analytics in the public sector
  • Large-scale recommendation systems
  • Link and graph mining, social network mining
  • Mobility and big data
  • Stream data mining
  • Experiences and case studies of big data applications and services
  • Real-world and large-scale practices of big data

SPECIAL TRACKS

Special Track on Real-time Big Data Services and Applications

  • Models, algorithms, and technologies for real-time big data services and applications
  • Experiences, practices and case studies of real-time big data services and applications

Special Track on Big Data Security, Ethics, Privacy and Trust

  • Models, algorithms and technologies for big data security and integrity
  • Practical security and privacy technologies and applications for big data
  • Models, algorithms, and techniques for fairness and diversity in big data applications
  • Transparency and interpretability vs. Privacy

Special Track on Big Data and analytics for Healthcare

  • Models, algorithms, and technologies of big data for healthcare
  • Practical security and privacy technologies and applications for big data
  • Models, algorithms, and techniques for fairness and diversity in big data applications
  • Transparency and interpretability vs. Privacy

Paper Submission & Publication

Papers must be written in English. All papers must be prepared in the IEEE double column proceedings format. Please see the following link for details: http://www.ieee.org/conferences_events/conferences/publishing/templates.html. Research and survey papers are limited to 8 pages, and short, demo or industry papers are limited to 4 pages. Authors must submit their papers at:Submit paper

All accepted papers will be published by IEEE Computer Society Press (EI‐Index) and included in IEEE Digital Library. For publication, at least one author is required to register at the full rate and present the paper at the conference for the paper to be included in the final technical program and the IEEE Digital Library. Selected papers will be invited for extension and published in journals (SCI-Index).

Important Dates

  • Workshop/Tutorial proposals: Nov. 8, 2019
  • Full paper submission: Dec. 1, 2019
  • Notification: Jan. 15, 2020
  • Final Paper and Registration: Jan. 31, 2020
  • Conference: Apr. 13 – 16, 2020

Organizing Committee

Joint Steering Committee Board for Joint IEEE Conferences

  • Axel Küpper, Technische Universität Berlin/Telekom Innovation Laboratories, Germany
  • Cristian Borcea, New Jersey of Institute of Technology, USA
  • Guido Wirtz, University of Bamberg, Germany
  • Hauiming Wang, National University of Defense Technology, China
  • Hong Zhu, Oxford Brookes University, UK
  • Jerry Gao, San Jose State University, USA (Executive Chair)
  • Jie Xu, University of Leeds, UK
  • Longbin Cao, University of Technology Sydney, AU
  • Sato Hiroyuki, University of Tokyo, Japan
  • W. T. Tsai, Arizona State University, USA

General Chair

  • Fanjing Meng, IBM Research, China
  • Jerry Gao, San Jose State University, USA

General Executive Chair

  • Hong Zhu, Oxford Brookes University, UK

Program Chair

  • Iraklis Varlamis,Harokopio University of Athens, Greece
  • Magdalini Eirinaki, San Jose state university, USA
  • Paul Townend, Edgetic Ltd., UK

Demo & Special track Chair

  • Katerina Potika, San Jose State University, USA

Webmaster

  • Nora Liu, San Jose State University, USA
  • Everette Li, San Jose State University, USA