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ICDTA 2019

International Conference on Database Theory and Application 2019

London, United Kingdom
3 - 4 January 2019
The conference ended on 04 January 2019

Important Dates

Abstract Submission Deadline
10th December 2018
Final Abstract / Full Paper Deadline
20th December 2018

About ICDTA 2019

The Second International Conference on Database Theory and Application (DTA 2019) will be held on January 03 - 04, 2019 at London, United Kingdom DTA 2019 will be the most comprehensive conference focused on the various aspects of advances in Database Theory and Application. Our Conference provides a chance for academic and industry professionals to discuss recent progress in the area of Database Theory and Application.

Topics

Data acquisition, Data security, Bioenergy application, Big data technologies, Bigdatacloud, Data science, Clustering, Application of laser, Data mining and cloud computing, Data science/analytics, Data, Application, Database theory, Cryptographic tools, Data integration, Data quality, Privacy and trust, Dynamic data mining

Call for Papers

  • Advanced databases (object-oriented DB, web-based DB, multimedia DB, temporal and spatial DB, deductive and active DB, etc.)
  •  Biomedical and healthcare data mining privacy
  •  Classification and Ranking
  •  Clustering
  •  Cryptographic tools for privacy preserving data mining
  •  Data and Knowledge Visualization
  •  Data integration and interoperability
  •  Data management for ubiquitous and mobile computing
  •  Data mining and information extraction
  •  Data modelling and architectures
  •  Data provenance
  •  Data quality
  •  Data security, privacy and trust
  •  Data streaming
  •  Dynamic Data Mining
  •  Heterogeneous databases
  •  Inference and disclosure control for data mining
  •  Integration of Data Warehousing
  •  Interactive and Online Mining
  •  Intermittently connected data
  •  KDD Process and Human Interaction
  •  Mining Trends, Opportunities or Risks
  •  OLAP and Data Mining
  •  Parallel and Distributed Data Mining
  •  Physical database design and performance evaluation
  •  Privacy and security when mining outsourced data
  •  Privacy preserving data aggregation and integration
  •  Privacy Preserving Data Mining
  •  Privacy threats due to data mining
  •  Query processing and optimisation
  •  Reliability and Robustness Issues
  •  Scientific Databases
  •  Security and privacy in spatio-temporal data mining
  •  Semantic web and ontologies
  •  Semi-structured data, metadata
  •  Software Warehouse and Software Mining
  •  Temporal Data
  •  Text Mining
  •  Trust management for data mining
  •  Web Data and the Internet
  •  XML and databases, web services
  •  Data Analysis
  •  Social and mathematical statistics
  •  Others

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