Data Mining

The development in measurement and data collection technologies have made it possible to gather and store large amount of information in many areas of science and industry. The ability to analyze these masses of raw data has increased at a much slower speed, however. The group develops data mining and computational statistics methods for various application tasks.

Research activities

• Data mining

  The work concentrates on algorithmic and foundational issues of data mining, e.g., on the analysis of large discrete data sets.

• Data Mining group in Otaniemi

  
  The Data Mining group in Otaniemi conducts research on finding local patterns and global models in discrete high-dimensional data.

• Computational methods for genome structure and gene mapping

  The group develops computational methods for use in medical molecular genetics, including genetic association analysis, haplotype analysis and reconstruction, utilisation of haplotype blocks and SNPs. We do close collaboration with several research groups in medical genetics.

• Data analysis for functional genomics

  The work is focused on developing computational methods for analyzing gene expression data produced by microarrays and complemented by other sources of data, e.g. clinical patient data and chromosomal locations of genes. The group has active collaboration with biologists and medical reserachers.