{"id":"https://openalex.org/W2552663603","doi":"https://doi.org/10.1109/coase.2016.7743445","title":"A novel under-sampling algorithm based on Iterative-Partitioning Filters for imbalanced classification","display_name":"A novel under-sampling algorithm based on Iterative-Partitioning Filters for imbalanced classification","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2552663603","doi":"https://doi.org/10.1109/coase.2016.7743445","mag":"2552663603"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2016.7743445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2016.7743445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"XiaoShuang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"XiaoShuang Chen","raw_affiliation_strings":["Department of Control Science and Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006206015","display_name":"Qi Kang","orcid":"https://orcid.org/0000-0001-7128-6913"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Kang","raw_affiliation_strings":["Department of Control Science and Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"MengChu Zhou","raw_affiliation_strings":["Department of Control Science and Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001916237","display_name":"Zhi Wei","orcid":"https://orcid.org/0000-0001-6059-4267"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Wei","raw_affiliation_strings":["Department of Control Science and Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"490","last_page":"494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","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/T11652","display_name":"Imbalanced Data Classification Techniques","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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9950000047683716,"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":0.6587204933166504},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6571648716926575},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6386781334877014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5474586486816406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5379157066345215},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5353427529335022},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.48565781116485596},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4753391742706299},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4367330074310303},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42036953568458557},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4182664155960083},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4137623608112335},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33930471539497375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6587204933166504},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6571648716926575},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6386781334877014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5474586486816406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5379157066345215},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5353427529335022},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.48565781116485596},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4753391742706299},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4367330074310303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42036953568458557},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4182664155960083},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4137623608112335},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33930471539497375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2016.7743445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2016.7743445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W30651129","https://openalex.org/W1496056137","https://openalex.org/W1499593655","https://openalex.org/W1965060779","https://openalex.org/W1973737002","https://openalex.org/W1985622079","https://openalex.org/W1987860477","https://openalex.org/W1993220166","https://openalex.org/W2002254092","https://openalex.org/W2035149165","https://openalex.org/W2068886613","https://openalex.org/W2071318022","https://openalex.org/W2075159929","https://openalex.org/W2082417017","https://openalex.org/W2089514923","https://openalex.org/W2103050290","https://openalex.org/W2104167780","https://openalex.org/W2107138773","https://openalex.org/W2107498895","https://openalex.org/W2118978333","https://openalex.org/W2130067872","https://openalex.org/W2132791018","https://openalex.org/W2136903812","https://openalex.org/W2137029138","https://openalex.org/W2142279020","https://openalex.org/W2148143831","https://openalex.org/W2155881299","https://openalex.org/W2164873210","https://openalex.org/W2170413589","https://openalex.org/W2214725774","https://openalex.org/W2317221319","https://openalex.org/W2334197971","https://openalex.org/W2340877487","https://openalex.org/W2344304498","https://openalex.org/W2354225344","https://openalex.org/W6650962818","https://openalex.org/W6679032286","https://openalex.org/W6680202767"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574","https://openalex.org/W2121910908"],"abstract_inverted_index":{"Many":[0],"real-world":[1],"datasets":[2],"suffer":[3],"from":[4,91],"the":[5,22,42,47,62],"problem":[6],"of":[7,21,49,54,64,118],"class":[8,15],"imbalance,":[9],"i.e.,":[10],"they":[11],"have":[12],"a":[13,18,70],"minority":[14,95],"being":[16],"only":[17,43],"small":[19],"portion":[20],"whole":[23],"dataset.":[24],"Under-sampling":[25],"techniques,":[26],"e.g.,":[27],"EasyEnsemble":[28],"(EE),":[29],"present":[30],"an":[31,77],"efficient":[32],"approach":[33],"to":[34,101],"imbalanced":[35,123],"classification":[36],"problems.":[37],"However,":[38],"imbalance":[39],"is":[40,56],"not":[41],"factor":[44],"that":[45,59],"harms":[46],"performance":[48,104,115],"conventional":[50],"classifiers.":[51],"The":[52,110],"presence":[53],"noises":[55,90],"another":[57],"issue":[58],"really":[60],"complicates":[61],"process":[63],"classifier":[65],"learning.":[66],"This":[67],"paper":[68],"presents":[69],"new":[71],"noise-filtered":[72],"under-sampling":[73],"algorithm":[74],"by":[75],"incorporating":[76],"Iterative-Partitioning":[78],"Filter":[79],"(IPF)":[80],"into":[81],"EE,":[82],"named":[83],"EE-IPF":[84],"for":[85,122],"short.":[86],"IPF":[87],"can":[88],"remove":[89],"both":[92],"majority":[93],"and":[94],"classes.":[96],"Comprehensive":[97],"experiments":[98],"are":[99],"performed":[100],"test":[102],"its":[103,113],"via":[105],"eleven":[106],"commonly-used":[107],"benchmark":[108],"datasets.":[109],"results":[111],"show":[112],"outstanding":[114],"in":[116],"terms":[117],"popular":[119],"ly-used":[120],"metrics":[121],"classification.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
