Designing Similarity Indexes with Parallel Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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