On the Behavior of Indexes for Imprecise Numerical Data and Necessity Measured Queries under Skewed Data Sets

Barranco C. D. , Campana J. R. , Medina J. M.

9th International Conference on Flexible Query Answering Systems (FQAS 2011), Ghent, Belgium, 26 - 28 October 2011, vol.7022, pp.485-487 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 7022
  • City: Ghent
  • Country: Belgium
  • Page Numbers: pp.485-487
  • Keywords: Fuzzy databases indexing, necessity measured queries, skewed data and queries, FUZZY-SETS, B+-TREE


This paper studies the influence of data distribution and clustering on the performance of currently available indexing methods, namely GT and HBPT, to solve necessity measured flexible queries on numerical imprecise data. The study of the above data scenarios lets to obtain valuable information about the expected performance of these indexes on real-world data and query sets, which are usually affected by different skew factors. Results reveal some sensibility of GT and no influence for the considered data scenarios on HBPT.