GRADUATE SCHOOL OF INFORMATICS


Data Mining Research Group

Principal Investigator:

Tuğba Taşkaya Temizel

Information:

The main objectives for the group are:

  • To develop methods to facilitate understanding of highly dimensional complex data and provide software tools for real world applications including medical domain
  • To parallelize data mining techniques for distributed environments
  • To develop methods to create a semantic grid

 Areas of interest include (but are not restricted to):

The main objectives for the group are:

  • To develop methods to facilitate understanding of highly dimensional complex data and provide software tools for real world applications including medical domain
  • To parallelize data mining techniques for distributed environments
  • To develop methods to create a semantic grid

 Areas of interest include (but are not restricted to):

  • Neural networks for temporal data modelling
  • Text mining
  • Bioinformatics
  • Data warehousing
  • Visualization
  • Web mining
  • Parallel/Distributed data mining
  • Fuzzy systems
  • Data quality
  • Data fusion by combining classifiers
  • Security and privacy policies in healthcare
  • Semantic web mining
  • Semantic grids