<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-17T17:19:56Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2099.1/11309" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2099.1/11309</identifier><datestamp>2025-07-24T17:57:20Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452951</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Design, Analysis and Implementation of New Variants of Kd-trees</dc:title>
   <dc:creator>Pons Crespo, Maria Mercè</dc:creator>
   <dc:contributor>Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics</dc:contributor>
   <dc:contributor>Roura Ferret, Salvador,</dc:contributor>
   <dc:subject>Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica</dc:subject>
   <dc:subject>Data structures (Computer science)</dc:subject>
   <dc:subject>kd-trees</dc:subject>
   <dc:subject>Representation of multidimensional data</dc:subject>
   <dc:subject>Estructures de dades (Informàtica)</dc:subject>
   <dc:description>The representation of multidimensional data is a central issue in database&#xd;
design, as well as in many other  elds, including computer graphics, com-&#xd;
putational geometry, pattern recognition, geographic information systems&#xd;
and others. Indeed, multidimensional points can represent locations, as well&#xd;
as more general records that arise in database management systems. For&#xd;
instance, consider an employee record that has attributes corresponding to&#xd;
the employee's name, address, sex, age, height and weight. Although the&#xd;
di erent dimensions have di erent data types (name and address are strings&#xd;
of characters; sex is a binary  eld; and age, height and weight are numbers),&#xd;
these records can be treated as points in a six-dimensional space.&#xd;
We may see a database as a collection of records. Each record has several&#xd;
attributes, some of which are keys. The associative retrieval problem consists&#xd;
of answering queries with respect to a  le of multidimensional records. Such&#xd;
an associative query requires the retrieval of those records in the  le whose&#xd;
key attributes satisfy a certain condition. Examples of associative queries&#xd;
are intersection queries and nearest neighbor queries.&#xd;
In order to facilitate the retrieval of records based on some conditions&#xd;
on its key attributes, it is usually helpful to assumed the existence of an&#xd;
ordering for its values. In the case of numeric keys, such an ordering is&#xd;
quite obvious. In the case of alphanumeric keys, the ordering is usually&#xd;
based on the alphabetic sequence of the characters making up the attribute&#xd;
value. Furthermore, certain queries, like nearest neighbor searches, require&#xd;
the existence of a distance function.</dc:description>
   <dc:date>2010-09-08</dc:date>
   <dc:type>Master thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/2099.1/11309</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
   <dc:rights>Open Access</dc:rights>
   <dc:rights>Attribution-NonCommercial-NoDerivs 3.0 Spain</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Universitat Politècnica de Catalunya</dc:publisher>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>