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The 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Paper abstract deadline: February 2, 2010.

Areas of interest include, but are not limited to:

  • data mining algorithms (supervised, semi-supervised and unsupervised)
  • data mining foundations and theory
  • dimensionality reduction and feature selection
  • mining dynamic and evolving data
  • mining graph data
  • mining semi-structured data
  • mining spatial and temporal data
  • mining stream data
  • mixed-initiative data mining and active learning
  • outlier analysis and anomaly detection
  • parallel and distributed data mining algorithms
  • pattern mining and association analysis
  • robust and highly scalable data mining algorithms
  • similarity search in data mining
  • statistical methods in data mining
  • topic models and matrix methods in data mining
  • transfer learning and mining with auxiliary data sources
  • adversarial data mining algorithms
  • data mining for computational advertising
  • data mining in social sciences and on social networks
  • mining environmental and scientific data
  • mining sensor data
  • mining user behavioral and feedback data
  • mining the Web and text data
  • multimedia data mining
  • data mining for other novel applications
  • data integration and indexing for data mining
  • data visualization for data mining
  • KDD methodology and process
  • platforms and systems for KDD
  • pre-processing and post-processing in data mining
  • security and privacy issues in data mining
  • user modeling in data mining

Подробности на сайте Конференции 

Организаторы приглашают российских социологов принять участие в Конференции.


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