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The First International Conference on Frontiers and Advances in Data Science and Analytics (FAADS) will bring together scientists, professionals, industry practitioners and users from a range of disciplinary backgrounds and application domains to share knowledge and the latest developments in data science and analytics.

We invite the submission of original and previously unpublished theoretical and practical work in all fields of data science and analytics including methodologies and techniques for big data. All submissions will be reviewed by at least two members of the Program Committee on the basis of novelty, technical quality, relevance to the conference theme, significance, and clarity of presentation. Accepted papers will be submitted for inclusion into IEEE Xplore. The IEEE Xplore proceedings will be submitted for inclusion to Elsevier EI for indexing.

We are in the process of arranging special issues in the Journal of Future Generation Computer Systems and the Journal of Information Processing and Management. Selected papers from the conference and special sessions will be invited for submission for the special issues.

For more information, please contact fads@essex.ac.uk.

Download FADS 2017 Call For Papers

Topics

FADS welcomes submissions on, but not limited to, the following topics:

Data Science Foundations

  • Machine Learning
  • Mathematical and statistical models
  • Novel theoretical models
  • Computational Models
  • Preprocessing and dimensionality reduction
  • Efficiency and complexity
  • Optimization

Analytics

  • Multi-stream reasoning and analytics
  • Text analysis and mining
  • Causal inference
  • Visualisation
  • Modelling complex and big data
  • Personalisation analytics and recommender systems
  • Social network analytics
  • Multimedia/image processing and analytics
  • Information retrieval and search
  • Semantic information extraction and reasoning

Data Infrastructure and Management

  • New data standards
  • Data cleansing
  • Data integration
  • Data sharing
  • Data linkage
  • Data curation and publishing
  • Cloud/Grid/Stream Computing architectures
  • Distributed and parallel/high performance processing
  • Data warehouses
  • Open platforms for analytics
  • Big data architectures and platforms

Security, governance and privacy

  • Governance
  • Intrusion, anomaly and threat detection
  • Data integrity
  • Data security and risk
  • Trust and trust management
  • Privacy preserving techniques and anonymisation
  • Privacy protection standards and policies
  • Legal aspects of analytics and big data

Social and economic aspects

  • Ethical considerations in the era of analytics and big data
  • New business models
  • Sociological aspects of analytics and big data
  • Analytics and big data for sustainable development
  • Analytics and big data for the social good
  • Analytics and big data for supporting the Sustainable Development Goals (SDGs)

Applications

  • Scientific applications of analytics and big data
  • Internet of Things
  • Internet of Persons
  • Smart Cities and Transport
  • Business and Finance Analytics
  • Healthcare analytics and decision support
  • Decision making and support systems
  • Analytics and big data for policy making and the public sector
  • Social networks and applications
  • Industrial applications of analytics and big data
  • Analytics for telecommunications and networks applications

Special Sessions

  • Blockchain Technology
  • Task Scheduling in Cloud computing
  • Cloud data Governance
  • Manufacturing Informatics
  • Data Science and Cloud Computing
  • Data Science for Politics, Policy, and International Development

Download FADS 2017 Call For Papers