Designing Similarity Indexes with Parallel Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{conf/sisap/BartosS13,
  author =       "Tomas Bartos and Tomas Skopal",
  title =        "Designing Similarity Indexes with Parallel Genetic
                 Programming",
  booktitle =    "Proceedings of the 6th International Conference on
                 Similarity Search and Applications (SISAP 2013)",
  year =         "2013",
  editor =       "Nieves R. Brisaboa and Oscar Pedreira and 
                 Pavel Zezula",
  volume =       "8199",
  series =       "Lecture Notes in Computer Science",
  pages =        "294--299",
  address =      "A Coruna, Spain",
  month =        oct # " 2-4",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  bibdate =      "2013-09-02",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/sisap/sisap2013.html#BartosS13",
  isbn13 =       "978-3-642-41061-1",
  URL =          "http://dx.doi.org/10.1007/978-3-642-41062-8",
  URL =          "http://dx.doi.org/10.1007/978-3-642-41062-8_29",
  DOI =          "doi:10.1007/978-3-642-41062-8_29",
  size =         "6 pages",
  abstract =     "The increasing diversity of unstructured databases
                 leads to the development of advanced indexing
                 techniques as the metric indexing model does not fit to
                 the general similarity models. Once the most critical
                 postulate, namely the triangle inequality, does not
                 hold, the metric model produces notable errors during
                 the query evaluation. To overcome this situation and to
                 obtain more qualitative results, we want to discover
                 better indexing models for databases using arbitrary
                 similarity measures. However, each database is unique
                 in a specific way, so we outline the automatic way of
                 exploring the best indexing method. We introduce the
                 exploration approach using parallel genetic programming
                 principles in a multi-threaded environment built upon
                 recently introduced SIMDEX Framework. Furthermore, we
                 introduce smart pivot table which is an intelligent
                 indexing method capable of incorporating obtained
                 results. We supplement the theoretical background with
                 experiments showing the achieved improvements in
                 comparison to the single-threaded evaluations.",
}

Genetic Programming entries for Tomas Bartos Tomas Skopal

Citations