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Important Dates
April 19, 2014
Submission of full/regular papers (about 7 pages)

May 10, 2014
Notification of acceptance

May 24, 2014
Final Camera-ready papers + Copyright/Consent + Registration

July 21-24, 2014
(including all affiliated conferences)

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IKE'14 - The 2014 International Conference on Information and Knowledge Engineering

Last modified 2014-02-03 21:36

IKE'14 is the 13th annual conference




    You are invited to submit a paper for consideration. All accepted papers will be published in printed conference books/proceedings (ISBN) and will also be made available online. The proceedings will be indexed in science citation databases that track citation frequency/data for each paper. In addition, like prior years, extended versions of selected papers (about 35%) will appear in journals and edited research books (publishers include: Springer, Elsevier, BMC, and others). See the following links for a small subset of the publications based on the Congress: (some of these books and special issues have already received the top 25% downloads in their respective fields - we also have a number of Elsevier and Springer books in the pipeline based on the last offering of the congress):

    IKE'14 is composed of a number of tracks, including: tutorials, sessions, workshops, posters, and panel discussions. The conference will be held July 21-24, 2014, Las Vegas, USA.

    Topics of interest include, but are not limited to, the following:

      • Knowledge management and cyber-learning
      • Information reliability and security
      • Information and knowledge structures
      • Information retrieval systems
      • Knowledge mining
      • Knowledge delivery methods
      • Knowledge life cycle
      • Knowledge and information extraction and discovery techniques
      • Knowledge classification tools
      • Knowledge and information management techniques
      • Knowledge extraction from images
      • Knowledge representation and acquisition
      • Knowledge re-engineering
      • Large-scale information processing methods
      • Intelligent knowledge-based systems
      • Re-usability of software/knowledge/information
      • Aspect-oriented programming
      • Formal and visual specification languages
      • Decision support and expert systems
      • e-Libraries (digital libraries) + e-Publishing
      • Ontology: engineering, sharing and reuse, matching and alignment
      • Digital typography
      • Agent-based techniques and systems
      • Workflow management
      • Business intelligence
      • Large-scale information processing methods and systems
      • Content management
      • Database engineering and systems
      • Data and knowledge fusion
      • Data and knowledge processing
      • Databanks - issues, methods, and standards
      • Dataweb models and systems
      • Global contextual processing and management implementation
      • Data/Information/Knowledge models
      • Data warehousing and datacenters
      • Health information systems
      • Data security and privacy issues
      • Managing copyright laws
      • Interoperability issues
      • Transaction systems
      • Search methods
      • Ontologies and semantics
      • Object-oriented modeling and systems
      • Case-based reasoning
      • Digital watermarking
      • Classical aspects of information theory
      • Coding theory
      • Information geometry
      • Quantum information theory
      • Applications (e-Commerce, multimedia, business, banking, ...)
      • Emerging technologies and related issues
      • Natural language processing
      • Information integration
      • Multi-cultural information systems
      • Domain analysis and modeling
      • Metamodelling
      • Education and Training Issues
      • Big Data:
          - Massively parallel-processing (MPP) databases
          - Data-mining grids
          - Distributed file systems and information retrieval
          - Distributed databases
          - Cluster analysis
          - Crowdsourcing
          - Data fusion and integration
          - Ensemble learning
          - Natural language processing
          - Neural networks
          - Pattern recognition
          - Data anomaly detection
          - Predictive modeling
          - Supervised and unsupervised learning
          - Time series analysis and visualisation
          - Search-based applications

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San Diego, California, USA
Contact: Kaveh Arbtan

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