The International Conference on Data and Knowledge Engineering ICDKE 2012

When :

2012-11-21

Where :

Wu Yi Shan, Fujian, China

Submission Deadline :

2012-06-22

Categories:

Networks & Communications


                                                                            

http://www.sci.usq.edu.au/conferences/ICDKE/12/Welcome.html

The International Conference on Data and Knowledge Engineering (ICDKE) is a leading international forum for researchers, developers, and end-users to explore cutting-edge ideas and results, and to exchange techniques. The missions of ICDKE are to share novel research solutions to problems of today's information society that fulfil the needs of heterogeneous applications and environments and to identify new issues and directions for future research and development work. Following the great success of ICDKE ’11, we are now seeking submissions for ICDKE ’12 from academia and industry presenting research on all practical and theoretical aspects of advanced data-intensive applications, data and knowledge engineering as well as case studies and implementation experiences. All topic areas related to data and knowledge engineering are of interest and in scope. ICDKE ’12 gives researchers and practitioners a unique opportunity to share their perspectives with others interested in the various aspects of engineering.

  • Data Models and Languages
  • Database Indexing and Search
  • Query Processing and Optimisation
  • Data Mining and Knowledge Discovery
  • Semi-structured and Unstructured Data Management
  • Data Quality
  • Data Integration
  • Information Extraction and Retrieval
  • Data Privacy and Security
  • Workflows and Data Provenance
  • Performance of Data Management
  • Web Services and Semantic Web
  • Web Intelligence
  • P2P, Mobile and Ubiquitous Data Management
  • Fuzzy, Uncertain and Probabilistic Databases
  • Scientific Databases
  • Spatial, Temporal & Multimedia Databases
  • Stream Databases
  • Parallel and Distributed Databases
  • Grid and Cloud Computing
  • Bioinformatics and Health Informatics
  • Enterprise and Business Data Management
  • Knowledge Acquisition & Management
  • Knowledge-based and Expert Systems
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