{"id":"https://openalex.org/W1839094204","doi":"https://doi.org/10.1007/s10044-015-0505-z","title":"Selecting locally specialised classifiers for one-class classification ensembles","display_name":"Selecting locally specialised classifiers for one-class classification ensembles","publication_year":2015,"publication_date":"2015-07-25","ids":{"openalex":"https://openalex.org/W1839094204","doi":"https://doi.org/10.1007/s10044-015-0505-z","mag":"1839094204"},"language":"en","primary_location":{"id":"doi:10.1007/s10044-015-0505-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10044-015-0505-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10044-015-0505-z.pdf","source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10044-015-0505-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054879396","display_name":"Bartosz Krawczyk","orcid":"https://orcid.org/0000-0002-9774-0106"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Bartosz Krawczyk","raw_affiliation_strings":["Department of Systems and Computer Networks, Wroc\u0142aw University of Technology, Wybrze\u017ce Wyspia\u0144skiego 27, 50-370, Wroc\u0142aw, Poland","Department of Systems and Computer Networks, Wroclaw University of Technology, Wroclaw, Poland 50-370#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Networks, Wroc\u0142aw University of Technology, Wybrze\u017ce Wyspia\u0144skiego 27, 50-370, Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345"]},{"raw_affiliation_string":"Department of Systems and Computer Networks, Wroclaw University of Technology, Wroclaw, Poland 50-370#TAB#","institution_ids":["https://openalex.org/I11923345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084051053","display_name":"Bogus\u0142aw Cyganek","orcid":"https://orcid.org/0000-0001-5185-1145"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Bogus\u0142aw Cyganek","raw_affiliation_strings":["AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krak\u00f3w, Poland","AGH University of Science and Technology,,,Krak\u00f3w,,Poland,30-059"],"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krak\u00f3w, Poland","institution_ids":["https://openalex.org/I686019"]},{"raw_affiliation_string":"AGH University of Science and Technology,,,Krak\u00f3w,,Poland,30-059","institution_ids":["https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054879396"],"corresponding_institution_ids":["https://openalex.org/I11923345"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":2.1572,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.89786661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"20","issue":"2","first_page":"427","last_page":"439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7457836866378784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7365701198577881},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7282391786575317},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6558704376220703},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6500427722930908},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6397092342376709},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5857443809509277},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47976288199424744},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.44267672300338745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37225377559661865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7457836866378784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7365701198577881},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7282391786575317},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6558704376220703},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6500427722930908},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6397092342376709},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5857443809509277},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47976288199424744},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.44267672300338745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37225377559661865},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10044-015-0505-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10044-015-0505-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10044-015-0505-z.pdf","source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10044-015-0505-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10044-015-0505-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10044-015-0505-z.pdf","source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1839094204.pdf","grobid_xml":"https://content.openalex.org/works/W1839094204.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W71358184","https://openalex.org/W144855073","https://openalex.org/W152772766","https://openalex.org/W1486356394","https://openalex.org/W1527858862","https://openalex.org/W1559451808","https://openalex.org/W1565746575","https://openalex.org/W1590298562","https://openalex.org/W1969045518","https://openalex.org/W1970088130","https://openalex.org/W1971153605","https://openalex.org/W1972226726","https://openalex.org/W1975314995","https://openalex.org/W1978176329","https://openalex.org/W1985313797","https://openalex.org/W1986668511","https://openalex.org/W1989239993","https://openalex.org/W1995042400","https://openalex.org/W2000766290","https://openalex.org/W2000829304","https://openalex.org/W2013514562","https://openalex.org/W2013977393","https://openalex.org/W2018822866","https://openalex.org/W2022883736","https://openalex.org/W2024935737","https://openalex.org/W2027179304","https://openalex.org/W2038705219","https://openalex.org/W2043112836","https://openalex.org/W2056234582","https://openalex.org/W2061237952","https://openalex.org/W2083911205","https://openalex.org/W2143386126","https://openalex.org/W2146194630","https://openalex.org/W2148972769","https://openalex.org/W2150706391","https://openalex.org/W2165466912","https://openalex.org/W2170014674","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W2580722822","https://openalex.org/W2772305933","https://openalex.org/W1486338765","https://openalex.org/W4318818647"],"abstract_inverted_index":{"One-class":[0],"classification":[1,135],"belongs":[2],"to":[3,27,30,133,139,166],"the":[4,7,35,38,67,94,109,116,134,141,176],"one":[5],"of":[6,37,70,80,83,91,108,112,152],"novel":[8],"and":[9,33,58,76,154,170],"very":[10],"promising":[11],"topics":[12],"in":[13,74,93,122,149],"contemporary":[14],"machine":[15],"learning.":[16],"In":[17,41,96,137],"recent":[18],"years":[19],"ensemble":[20],"approaches":[21],"have":[22,120],"gained":[23],"significant":[24],"attention":[25],"due":[26],"increasing":[28],"robustness":[29],"unknown":[31],"outliers":[32],"reducing":[34],"complexity":[36],"learning":[39],"process.":[40],"our":[42],"previous":[43],"works,":[44],"we":[45,99,145],"proposed":[46,117],"a":[47,81,89,150],"highly":[48],"efficient":[49,169],"one-class":[50,61,153,177],"classifier":[51],"ensemble,":[52],"based":[53],"on":[54,63],"input":[55],"data":[56],"clustering":[57],"training":[59],"weighted":[60],"classifiers":[62],"clustered":[64],"subsets.":[65],"However,":[66],"main":[68],"drawback":[69],"this":[71,97],"approach":[72],"lied":[73],"difficult":[75],"time":[77],"consuming":[78],"selection":[79,124],"number":[82,90,111,151],"competence":[84,113],"areas":[85,114],"which":[86],"indirectly":[87],"affects":[88],"members":[92],"ensemble.":[95,118],"paper,":[98],"investigate":[100,146],"ten":[101],"different":[102],"methodologies":[103],"for":[104,115,125,174],"an":[105,168],"automatic":[106,172],"determination":[107],"optimal":[110],"They":[119],"roots":[121],"model":[123],"clustering,":[126],"but":[127],"can":[128],"be":[129],"also":[130],"effectively":[131],"applied":[132],"task.":[136],"order":[138],"select":[140],"most":[142],"useful":[143],"technique,":[144],"their":[147],"performance":[148],"multi-class":[155],"problems.":[156],"Numerous":[157],"experimental":[158],"results,":[159],"backed-up":[160],"with":[161],"statistical":[162],"testing,":[163],"allows":[164],"us":[165],"propose":[167],"fully":[171],"method":[173],"tuning":[175],"clustering-based":[178],"ensembles.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}