Uncertain groupings: probabilistic combination of grouping data

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Abstract

A bioinformatician has a large number of homology data sources to choose from. These data sources need to be combined before a query can be posed over the combined data. We propose a generic probabilistic approach to combining grouping data from multiple sources. Our approach incorporates an iteratively evolving view on trust, allowing the bioinformatician to express his fine-grained view on how much the data in the sources can be trusted. We evaluate our approach by combining 3 real-world biological databases and show that it scales well for realistic amounts of data and uncertainty.
Original languageUndefined
Place of PublicationEnschede
PublisherCentre for Telematics and Information Technology (CTIT)
Number of pages10
Publication statusPublished - 5 Dec 2014

Publication series

NameCTIT Technical Report Series
PublisherUniversity of Twente, Centre for Telematics and Information Technology (CTIT)
No.TR-CTIT-14-12
ISSN (Print)1381-3625

Keywords

  • METIS-309711
  • EWI-25399
  • IR-93101

Cite this

Wanders, B., van Keulen, M., & van der Vet, P. E. (2014). Uncertain groupings: probabilistic combination of grouping data. (CTIT Technical Report Series; No. TR-CTIT-14-12). Enschede: Centre for Telematics and Information Technology (CTIT).