@prefix ocrer: <http://purl.org/net/OCRe/research.owl#> .
@prefix owl:   <http://www.w3.org/2002/07/owl#> .
@prefix scires: <http://vivoweb.org/ontology/scientific-research#> .
@prefix xsd:   <http://www.w3.org/2001/XMLSchema#> .
@prefix skos:  <http://www.w3.org/2004/02/skos/core#> .
@prefix rdfs:  <http://www.w3.org/2000/01/rdf-schema#> .
@prefix ocresd: <http://purl.org/net/OCRe/study_design.owl#> .
@prefix swo:   <http://www.ebi.ac.uk/efo/swo/> .
@prefix cito:  <http://purl.org/spar/cito/> .
@prefix geo:   <http://aims.fao.org/aos/geopolitical.owl#> .
@prefix ocresst: <http://purl.org/net/OCRe/statistics.owl#> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix vivo:  <http://vivoweb.org/ontology/core#> .
@prefix event: <http://purl.org/NET/c4dm/event.owl#> .
@prefix vann:  <http://purl.org/vocab/vann/> .
@prefix foaf:  <http://xmlns.com/foaf/0.1/> .
@prefix c4o:   <http://purl.org/spar/c4o/> .
@prefix fabio: <http://purl.org/spar/fabio/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix thkoeln: <http://cris.nrw/hisinone#> .
@prefix vitro: <http://vitro.mannlib.cornell.edu/ns/vitro/0.7#> .
@prefix vitro-public: <http://vitro.mannlib.cornell.edu/ns/vitro/public#> .
@prefix rdf:   <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix ocresp: <http://purl.org/net/OCRe/study_protocol.owl#> .
@prefix bibo:  <http://purl.org/ontology/bibo/> .
@prefix obo:   <http://purl.obolibrary.org/obo/> .
@prefix ro:    <http://purl.obolibrary.org/obo/ro.owl#> .

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thkoeln:Konferenzpaper
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                <https://fis.th-koeln.de/vivo/individual/publ_13484> .

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                <https://fis.th-koeln.de/vivo/individual/publ_13484> .

owl:Thing  a    owl:Class .

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        rdfs:label              "Parameter-Tuned Data Mining" , "RDF description of Parameter-Tuned Data Mining - https://fis.th-koeln.de/vivo/individual/publ_13484" ;
        thkoeln:peerReviewed    "true" ;
        thkoeln:sprache         "englisch" ;
        thkoeln:status          "validiert" ;
        thkoeln:subtitle        "A General Framework" ;
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                <https://fis.th-koeln.de/vivo/individual/11000300> , <https://fis.th-koeln.de/vivo/individual/10000151> ;
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                <https://fis.th-koeln.de/vivo/individual/cite_13484-2> , <https://fis.th-koeln.de/vivo/individual/cite_13484-0> , <https://fis.th-koeln.de/vivo/individual/cite_13484-1> ;
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                "2026-04-03T22:16:42"^^xsd:dateTime ;
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                <https://fis.th-koeln.de/vivo> ;
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        bibo:abstract           "Real-world data mining applications often confront us with complex and  noisy data, which makes it necessary to optimize the data mining models thoroughly to achieve high-quality results. We describe in this contribution an approach to tune the parameters of the model and the feature selection conjointly. The aim is to use one framework to solve a variety of data mining tasks. We show that tuning is of large importance for high-quality results in benchmark tasks like the Data Mining Cup: tuned models achieve rank 2 or 4 in the ranking tables, where the untuned model had rank 21 out of 67.  We discuss several issues of special relevance for the tuning of data mining models, namely resampling strategies and oversearching." ;
        bibo:isbn13             "9783866445802" , "#defaultkonferenzband" ;
        bibo:pageEnd            "145" ;
        bibo:pageStart          "131" ;
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        a       thkoeln:Zitat , owl:Thing .

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