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Topics of Interest

        

           

 The SIGKDD DDDM2007 Workshop solicits original theoretical and practical research on topics including, but not limited to, the following aspects:
• Domain-driven data mining methodology and project management
• Domain-driven KDD infrastructure and system support
• Knowledge actionability and actionable knowledge discovery framework
• Involvement of human intelligence, domain intelligence, web intelligence
• Mining in-depth patterns and deep data intelligence
• Intelligence meta-synthesis in KDD
• Human-centered mining and human-mining interaction
• Activity, impact, event, process and workflow mining
• Unbalanced, constraint, dynamic and stream mining
• Reliability, trust, privacy, utility, issues in data mining
• Enterprise-oriented, spatio-temporal, multiple source mining
• Ontology and knowledge engineering and management
• Computational performance and actionability enhancement
• Domain specific mining such as security mining, bioinformatic mining, etc.