9th International Conference on Database and Data Mining (ICDDM 2020)

  • 2020
  • China

Description

The 9th International Conference on Database and Data Mining (ICDDM 2020) covers topics such as:

  • Mining in targeted application contexts
    • Mining sensor data
    • Mining high speed data streams
    • Mining in networked settings: web, social and computer networks, and online communities
    • Distributed data mining and mining multi-agent data
    • Data mining in electronic commerce, such as recommendation, sponsored web search, advertising, and marketing tasks
  • Data mining foundations
    • Algorithms for new, structured, data types, such as arising in chemistry, biology, environment, and other scientific domains
    • Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
    • Mining sequences and sequential data
    • Developing a unifying theory of data mining
    • Mining textual and unstructured datasets
    • Mining spatial and temporal datasets
    • High performance implementations of data mining algorithms
  • Integrated KDD applications and systems
    • Computational finance, online trading, and analysis of markets
    • Bioinformatics, computational chemistry, geoinformatics, and other science & engineering disciplines
    • Healthcare, epidemic modeling, and clinical research
    • Intrusion detection, fraud prevention, and surveillance
    • Telecommunications, network and systems management
    • Customer relationship management
  • Methodological aspects and the KDD process
    • Quality assessment, interestingness analysis, and post-processing
    • Data pre-processing, data reduction, feature selection, and feature transformation
    • Handling imbalanced data
    • Statistical foundations for robust and scalable data mining
    • Dealing with cost sensitive data and loss models
    • Automating the mining process and other process related issues
    • Security, privacy, and data integrity
    • Human-machine interaction and visual data mining

Past Events

Important

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Event Categories

Science: Biochemistry, Chemistry
Technology: Biotechnology, Data management

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