Home \ Topics of Interest

The topics of the conference and workshop papers fall into three major categories that will include but are not limited to the following:

A. Data Mining Foundations

  • Theoretic foundations
  • Novel models and algorithms
  • Mining emerging data types
  • Mining mixed and multi-source data
  • Mining complex sequential data
  • Mining spatial and temporal data
  • Mining textual and semi-structured/unstructured data
  • Parallel, distributed and combined data mining
  • Privacy data analysis
  • Mining high dimensional data
  • Statistical foundations

B. Mining in Emerging Domains

  • Stream/dynamic data mining
  • Visual data mining
  • Mining behavioral data
  • Ubiquitous knowledge discovery
  • Mining multi-agent data and agent-based data mining
  • Mining linkages, networks and communities
  • Mining the Internet and social networks
  • Financial data mining
  • Opinion and sentiment analysis
  • Mining imbalanced data
  • Mining graphic data
  • Security, risk, cost, impact, trust and repeatibility etc.
  • Interactive and online mining
  • Integration of data warehousing, OLAP and data mining
  • Massive data mining on cloud platforms

C. Process and Applications

  • Actionable knowledge discovery
  • Developing a unifying theory of data mining
  • Data pre-processing and transformation
  • Feature selection and extraction
  • Post-processing and post mining
  • Deliverable representation and presentation
  • Automating the mining process
  • Human, domain, organizational and social factors in data mining
  • Quality assessment and validation
  • Data mining languages
  • High performance implementations of data mining algorithms
  • Intrusion detection and surveillance analysis
  • Healthcare, health, drug and medical data analysis
  • Bioinformatics, computational chemistry, ecoinformatics
  • Fraud and risk analysis
  • Other applications such as supply chain intelligence
  • Lessons and experiences