{"id":"https://openalex.org/W2812434698","doi":"https://doi.org/10.1145/3205651.3205722","title":"Confidence-based ensemble modeling in medical data mining","display_name":"Confidence-based ensemble modeling in medical data mining","publication_year":2018,"publication_date":"2018-07-06","ids":{"openalex":"https://openalex.org/W2812434698","doi":"https://doi.org/10.1145/3205651.3205722","mag":"2812434698"},"language":"en","primary_location":{"id":"doi:10.1145/3205651.3205722","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205651.3205722","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030128767","display_name":"Lukas Kammerer","orcid":"https://orcid.org/0000-0001-8236-4294"},"institutions":[{"id":"https://openalex.org/I4210136249","display_name":"University of Applied Sciences Upper Austria","ror":"https://ror.org/03jqp6d56","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210136249"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Lukas Kammerer","raw_affiliation_strings":["University of Applied Sciences Upper Austria, Hagenberg, Austria and Johannes Kepler University, Linz, Austria"],"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Upper Austria, Hagenberg, Austria and Johannes Kepler University, Linz, Austria","institution_ids":["https://openalex.org/I4210136249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013367027","display_name":"Michael Affenzeller","orcid":"https://orcid.org/0000-0001-5692-5940"},"institutions":[{"id":"https://openalex.org/I4210136249","display_name":"University of Applied Sciences Upper Austria","ror":"https://ror.org/03jqp6d56","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210136249"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Michael Affenzeller","raw_affiliation_strings":["University of Applied Sciences Upper Austria, Hagenberg, Austria and Johannes Kepler University, Linz, Austria"],"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Upper Austria, Hagenberg, Austria and Johannes Kepler University, Linz, Austria","institution_ids":["https://openalex.org/I4210136249"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030128767"],"corresponding_institution_ids":["https://openalex.org/I4210136249"],"apc_list":null,"apc_paid":null,"fwci":0.2311,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60616987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9641000032424927,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7139861583709717},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.676642656326294},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6283752918243408},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6282610893249512},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.5551943182945251},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.5088872909545898},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4969690144062042},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4879095256328583},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4658416509628296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4218646287918091},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27847808599472046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10229530930519104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7139861583709717},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.676642656326294},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6283752918243408},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6282610893249512},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.5551943182945251},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.5088872909545898},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4969690144062042},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4879095256328583},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4658416509628296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4218646287918091},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27847808599472046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10229530930519104},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3205651.3205722","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205651.3205722","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323031","display_name":"\u00d6sterreichische Forschungsf\u00f6rderungsgesellschaft","ror":"https://ror.org/028jc0449"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W190778399","https://openalex.org/W1521513558","https://openalex.org/W1543488019","https://openalex.org/W1605688901","https://openalex.org/W1975846642","https://openalex.org/W2911964244","https://openalex.org/W3014813097","https://openalex.org/W6680007464"],"related_works":["https://openalex.org/W2794896638","https://openalex.org/W2891633941","https://openalex.org/W3202800081","https://openalex.org/W3101614107","https://openalex.org/W1909207154","https://openalex.org/W4390971112","https://openalex.org/W3036530763","https://openalex.org/W1514365828","https://openalex.org/W3149839747","https://openalex.org/W3204228978"],"abstract_inverted_index":{"A":[0],"recent":[1],"approach":[2],"for":[3,24,48],"improving":[4],"the":[5],"accuracy":[6,34],"of":[7],"ensemble":[8,19],"models":[9],"is":[10],"confidence-based":[11],"modeling.":[12],"Thereby,":[13],"confidence":[14],"measures,":[15],"which":[16],"indicate":[17],"an":[18],"prediction's":[20],"reliability,":[21],"are":[22],"used":[23],"identifying":[25],"unreliable":[26],"predictions":[27],"in":[28,42],"order":[29],"to":[30],"improve":[31],"a":[32],"model's":[33],"among":[35],"reliable":[36],"predictions.":[37],"However,":[38],"despite":[39],"promising":[40],"results":[41,47],"previous":[43],"work,":[44],"no":[45],"comparable":[46],"public":[49],"benchmark":[50],"data":[51],"sets":[52],"have":[53],"been":[54],"published":[55],"yet.":[56]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}