{"id":"https://openalex.org/W2783151797","doi":"https://doi.org/10.1515/amcs-2017-0050","title":"CCR: A combined cleaning and resampling algorithm for imbalanced data classification","display_name":"CCR: A combined cleaning and resampling algorithm for imbalanced data classification","publication_year":2017,"publication_date":"2017-12-20","ids":{"openalex":"https://openalex.org/W2783151797","doi":"https://doi.org/10.1515/amcs-2017-0050","mag":"2783151797"},"language":"en","primary_location":{"id":"doi:10.1515/amcs-2017-0050","is_oa":true,"landing_page_url":"https://doi.org/10.1515/amcs-2017-0050","pdf_url":"https://content.sciendo.com/downloadpdf/journals/amcs/27/4/article-p727.pdf","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://content.sciendo.com/downloadpdf/journals/amcs/27/4/article-p727.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027393953","display_name":"Micha\u0142 Koziarski","orcid":"https://orcid.org/0000-0001-7707-9640"},"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"]},{"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":true,"raw_author_name":"Micha\u0142 Koziarski","raw_affiliation_strings":["Department of Systems and Computer Networks Wroc\u0142aw University of Science and Technology, Wybrze\u017ce Wyspia\u0144skiego 27, 50-370 Wroc\u0142aw , Poland"],"affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Networks Wroc\u0142aw University of Science and Technology, Wybrze\u017ce Wyspia\u0144skiego 27, 50-370 Wroc\u0142aw , Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060936121","display_name":"Micha\u0142 Wo\u017aniak","orcid":"https://orcid.org/0000-0003-0146-4205"},"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"]},{"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":"Micha\u0142 Wo\u017cniak","raw_affiliation_strings":["Department of Systems and Computer Networks Wroc\u0142aw University of Science and Technology, Wybrze\u017ce Wyspia\u0144skiego 27, 50-370 Wroc\u0142aw , Poland"],"affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Networks Wroc\u0142aw University of Science and Technology, Wybrze\u017ce Wyspia\u0144skiego 27, 50-370 Wroc\u0142aw , Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027393953"],"corresponding_institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"],"apc_list":{"value":4080,"currency":"PLN","value_usd":1100},"apc_paid":{"value":4080,"currency":"PLN","value_usd":1100},"fwci":4.1575,"has_fulltext":true,"cited_by_count":106,"citation_normalized_percentile":{"value":0.95304728,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"27","issue":"4","first_page":"727","last_page":"736"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998000264167786,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998000264167786,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9929999709129333,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.9753483533859253},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.8492991924285889},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6745510101318359},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6401473879814148},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6167352199554443},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5559395551681519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5124228596687317},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44045329093933105},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.43170326948165894},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4078570604324341},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38288795948028564},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09774136543273926},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.0525205135345459}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.9753483533859253},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8492991924285889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6745510101318359},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6401473879814148},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6167352199554443},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5559395551681519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5124228596687317},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44045329093933105},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.43170326948165894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4078570604324341},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38288795948028564},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09774136543273926},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0525205135345459},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/amcs-2017-0050","is_oa":true,"landing_page_url":"https://doi.org/10.1515/amcs-2017-0050","pdf_url":"https://content.sciendo.com/downloadpdf/journals/amcs/27/4/article-p727.pdf","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ce85efaead2b40ffa1bbd0cf7f47e396","is_oa":true,"landing_page_url":"https://doaj.org/article/ce85efaead2b40ffa1bbd0cf7f47e396","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Applied Mathematics and Computer Science, Vol 27, Iss 4, Pp 727-736 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/amcs-2017-0050","is_oa":true,"landing_page_url":"https://doi.org/10.1515/amcs-2017-0050","pdf_url":"https://content.sciendo.com/downloadpdf/journals/amcs/27/4/article-p727.pdf","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326815","display_name":"Infrastruktura PL-Grid","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2783151797.pdf","grobid_xml":"https://content.openalex.org/works/W2783151797.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W88102734","https://openalex.org/W102369970","https://openalex.org/W1496056137","https://openalex.org/W1517728993","https://openalex.org/W1561613409","https://openalex.org/W1563938718","https://openalex.org/W1591261915","https://openalex.org/W1592804209","https://openalex.org/W1967127231","https://openalex.org/W1974079881","https://openalex.org/W1984606274","https://openalex.org/W1993220166","https://openalex.org/W2011376672","https://openalex.org/W2015452969","https://openalex.org/W2022348393","https://openalex.org/W2023639956","https://openalex.org/W2024223694","https://openalex.org/W2029866800","https://openalex.org/W2032867948","https://openalex.org/W2033184625","https://openalex.org/W2035149165","https://openalex.org/W2087240369","https://openalex.org/W2097819183","https://openalex.org/W2098373434","https://openalex.org/W2099454382","https://openalex.org/W2104167780","https://openalex.org/W2104933073","https://openalex.org/W2106479238","https://openalex.org/W2107686700","https://openalex.org/W2109964623","https://openalex.org/W2118978333","https://openalex.org/W2119498311","https://openalex.org/W2124710650","https://openalex.org/W2132656721","https://openalex.org/W2132791018","https://openalex.org/W2135803064","https://openalex.org/W2137029138","https://openalex.org/W2148143831","https://openalex.org/W2164330572","https://openalex.org/W2164341120","https://openalex.org/W2165533158","https://openalex.org/W2167464971","https://openalex.org/W2171141701","https://openalex.org/W2182722412","https://openalex.org/W2226725405","https://openalex.org/W2338318698","https://openalex.org/W2395350663","https://openalex.org/W2461585331","https://openalex.org/W2521200999"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W2781247653","https://openalex.org/W3022501507","https://openalex.org/W4205824301","https://openalex.org/W3188632291","https://openalex.org/W2023639956","https://openalex.org/W2300921526","https://openalex.org/W2354233396","https://openalex.org/W4386210978","https://openalex.org/W4237698281"],"abstract_inverted_index":{"Abstract":[0],"Imbalanced":[1],"data":[2,96],"classification":[3,30],"is":[4,55,137],"one":[5],"of":[6,17,29,35,44,89,114,134],"the":[7,27,42,51,64,67,70,103,115,121,126,132],"most":[8,23,52],"widespread":[9],"challenges":[10],"in":[11,22,92],"contemporary":[12],"pattern":[13],"recognition.":[14],"Varying":[15],"levels":[16,34],"imbalance":[18,36],"may":[19],"be":[20,74],"observed":[21],"real":[24],"datasets,":[25],"affecting":[26],"performance":[28,68],"algorithms.":[31],"Particularly,":[32],"high":[33],"make":[37],"serious":[38],"difficulties,":[39],"often":[40,56],"requiring":[41],"use":[43],"specially":[45],"designed":[46],"methods.":[47],"In":[48,76],"such":[49],"cases":[50],"important":[53],"issue":[54],"to":[57],"properly":[58],"detect":[59],"minority":[60,90,107,135],"examples,":[61],"but":[62],"at":[63],"same":[65],"time":[66],"on":[69,86],"majority":[71],"class":[72],"cannot":[73],"neglected.":[75],"this":[77],"paper":[78],"we":[79],"describe":[80],"a":[81,93],"novel":[82],"resampling":[83],"technique":[84],"focused":[85],"proper":[87],"detection":[88,133],"examples":[91,136],"two-class":[94],"imbalanced":[95],"task.":[97],"The":[98],"proposed":[99,122],"method":[100],"combines":[101],"cleaning":[102],"decision":[104],"border":[105],"around":[106],"objects":[108],"with":[109],"guided":[110],"synthetic":[111],"oversampling.":[112],"Results":[113],"conducted":[116],"experimental":[117],"study":[118],"indicate":[119],"that":[120],"algorithm":[123],"usually":[124],"outperforms":[125],"conventional":[127],"oversampling":[128],"approaches,":[129],"especially":[130],"when":[131],"considered.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2018-01-26T00:00:00"}