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  • PESAN DAN TANGGAPAN :

    The 2010 International Conference on Database Theory and Application
    Oleh : DTA 2010
    Sabtu, 3 April 2010 (09:14 WIB) dari IP 125.160.112.164

    http://www.sersc.org/DTA2010/

    DTA 2010 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.

    The goal of this Conference is to bring together the researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects of Database Theory and Application.

    All accepted papers will be included in the conference proceedings: LNCS/CCIS series (indexed by EI and others) published by Springer Verlag (confirmed) or IEEE CS proceedings (pending). And some papers selected will be included in some journals.

    Topics of Conference

    The main topics include but will not be limited to: (Excellent surveying works in these areas are welcome, too.)

    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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