<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
    <responseDate>2026-04-17T17:45:48.025Z</responseDate>
    <request verb="GetRecord" identifier="ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:2630" metadataPrefix="dim">http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai</request>
    <GetRecord>
        <record>
            <header>
                <identifier>ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:2630</identifier>
                <datestamp>2014-10-03T19:22:09Z</datestamp>
                <setSpec>1</setSpec>
            </header>
            <metadata>
                <dim:dim>
                    <dim:field mdschema="dc" element="title" lang="en">Suffix Tree Clustering - Data mining algorithm</dim:field>
                    <dim:field mdschema="dc" element="date" qualifier="issued">2014</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/2630</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://erk.fe.uni-lj.si/2014/ilic%28suffix_tree%29p.pdf</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:7994" confidence="-1">М. Илић</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:7995" confidence="-1">П. Спалевић</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0001-6136-1895" confidence="-1">M. Veinović</dim:field>
                    <dim:field mdschema="dc" element="description" qualifier="abstract">Data Mining as a process of finding new, useful knowledge from data using different techniques. Using these techniques we getting faster and better search of large amounts of data that we facing every day. Clustering of data is one of the techniques that are used in data mining. Authors explore clustering algorithms and take suffix tree clustering algorithm for the best of
them. Authors create an application that use this algorithm in the process of clustering, and search of clustered documents.</dim:field>
                    <dim:field mdschema="dc" element="type">conferenceObject</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="spage">B15</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="epage">18</dim:field>
                    <dim:field mdschema="dc" element="source">Proceedings of the 23nd International Electrotechnical and Computer Science Conference</dim:field>
                </dim:dim>
            </metadata>
        </record>
    </GetRecord>
</OAI-PMH>
