{"id":"https://openalex.org/W4405023102","doi":"https://doi.org/10.1109/access.2024.3511339","title":"Dealing With Class Imbalance in Uplift Modeling-Efficient Data Preprocessing via Oversampling and Matching","display_name":"Dealing With Class Imbalance in Uplift Modeling-Efficient Data Preprocessing via Oversampling and Matching","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4405023102","doi":"https://doi.org/10.1109/access.2024.3511339"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3511339","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3511339","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3511339","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037252217","display_name":"Carla Vairetti","orcid":"https://orcid.org/0000-0003-4612-1409"},"institutions":[{"id":"https://openalex.org/I189977406","display_name":"Universidad de Los Andes, Chile","ror":"https://ror.org/03v0qd864","country_code":"CL","type":"education","lineage":["https://openalex.org/I189977406"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Carla Vairetti","raw_affiliation_strings":["Facultad de Ingenier&#x00ED;a y Ciencias Aplicadas, Universidad de los Andes, Santiago, Chile","Facultad de Ingenier&#x00ED;a y Ciencias Aplicadas, Universidad de Los Andes, Chile"],"raw_orcid":"https://orcid.org/0000-0003-4612-1409","affiliations":[{"raw_affiliation_string":"Facultad de Ingenier&#x00ED;a y Ciencias Aplicadas, Universidad de los Andes, Santiago, Chile","institution_ids":["https://openalex.org/I189977406"]},{"raw_affiliation_string":"Facultad de Ingenier&#x00ED;a y Ciencias Aplicadas, Universidad de Los Andes, Chile","institution_ids":["https://openalex.org/I189977406"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114999008","display_name":"Mar\u00eda Jos\u00e9 Marf\u00e1n","orcid":null},"institutions":[{"id":"https://openalex.org/I189977406","display_name":"Universidad de Los Andes, Chile","ror":"https://ror.org/03v0qd864","country_code":"CL","type":"education","lineage":["https://openalex.org/I189977406"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Mar\u00eda Jos\u00e9 Marf\u00e1n","raw_affiliation_strings":["Facultad de Ingenier&#x00ED;a y Ciencias Aplicadas, Universidad de los Andes, Santiago, Chile","Facultad de Ingenier&#x00ED;a y Ciencias Aplicadas, Universidad de Los Andes, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facultad de Ingenier&#x00ED;a y Ciencias Aplicadas, Universidad de los Andes, Santiago, Chile","institution_ids":["https://openalex.org/I189977406"]},{"raw_affiliation_string":"Facultad de Ingenier&#x00ED;a y Ciencias Aplicadas, Universidad de Los Andes, Chile","institution_ids":["https://openalex.org/I189977406"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007513550","display_name":"Sebasti\u00e1n Maldonado","orcid":"https://orcid.org/0000-0002-7124-0437"},"institutions":[{"id":"https://openalex.org/I4210148528","display_name":"Complex Engineering System Institute","ror":"https://ror.org/04wnc7270","country_code":"CL","type":"facility","lineage":["https://openalex.org/I4210148528"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Sebasti\u00e1n Maldonado","raw_affiliation_strings":["Instituto Sistemas Complejos de Ingenier&#x00ED;a (ISCI), Santiago, Chile","Instituto Sistemas Complejos de Ingenier&#x00ED;a (ISCI), Chile"],"raw_orcid":"https://orcid.org/0000-0002-7124-0437","affiliations":[{"raw_affiliation_string":"Instituto Sistemas Complejos de Ingenier&#x00ED;a (ISCI), Santiago, Chile","institution_ids":["https://openalex.org/I4210148528"]},{"raw_affiliation_string":"Instituto Sistemas Complejos de Ingenier&#x00ED;a (ISCI), Chile","institution_ids":["https://openalex.org/I4210148528"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6109,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7548273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"188993","last_page":"189008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9887999892234802,"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":0.9887999892234802,"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/oversampling","display_name":"Oversampling","score":0.8129918575286865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7788269519805908},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6920057535171509},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6256592273712158},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5652068853378296},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.41394326090812683},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39129510521888733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3518846035003662},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11788821220397949},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07740652561187744}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.8129918575286865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7788269519805908},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6920057535171509},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6256592273712158},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5652068853378296},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.41394326090812683},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39129510521888733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3518846035003662},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11788821220397949},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07740652561187744},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3511339","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3511339","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b1c91f9a93db43a09abc17ff368e2b3b","is_oa":true,"landing_page_url":"https://doaj.org/article/b1c91f9a93db43a09abc17ff368e2b3b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 188993-189008 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3511339","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3511339","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5}],"awards":[{"id":"https://openalex.org/G4461789371","display_name":null,"funder_award_id":"PIA/PUENTE AFB230002","funder_id":"https://openalex.org/F4320331146","funder_display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo"}],"funders":[{"id":"https://openalex.org/F4320331146","display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1975051178","https://openalex.org/W1987537206","https://openalex.org/W2003608259","https://openalex.org/W2056108924","https://openalex.org/W2057521255","https://openalex.org/W2111635289","https://openalex.org/W2208550830","https://openalex.org/W2240609664","https://openalex.org/W2593875029","https://openalex.org/W2603768655","https://openalex.org/W2695033683","https://openalex.org/W2790955711","https://openalex.org/W2800788706","https://openalex.org/W2810972217","https://openalex.org/W2900709881","https://openalex.org/W2903515503","https://openalex.org/W2904964912","https://openalex.org/W2908465383","https://openalex.org/W2939742734","https://openalex.org/W2948009038","https://openalex.org/W2968103140","https://openalex.org/W2969219550","https://openalex.org/W2991560673","https://openalex.org/W2998589708","https://openalex.org/W3000364429","https://openalex.org/W3025918553","https://openalex.org/W3033266910","https://openalex.org/W3041564249","https://openalex.org/W3048310131","https://openalex.org/W3048817558","https://openalex.org/W3050159347","https://openalex.org/W3094843711","https://openalex.org/W3095293111","https://openalex.org/W3136839601","https://openalex.org/W3150893739","https://openalex.org/W3169407454","https://openalex.org/W3194694505","https://openalex.org/W3199193517","https://openalex.org/W3202759670","https://openalex.org/W3203008126","https://openalex.org/W4200472276","https://openalex.org/W4226228501","https://openalex.org/W4281286690","https://openalex.org/W4283816376","https://openalex.org/W4288457444","https://openalex.org/W4311297504","https://openalex.org/W4317733991","https://openalex.org/W4327734181","https://openalex.org/W4362465770","https://openalex.org/W4366703696","https://openalex.org/W4383821253","https://openalex.org/W4390805998","https://openalex.org/W4391733508","https://openalex.org/W6614148910","https://openalex.org/W6742293653","https://openalex.org/W6787563923"],"related_works":["https://openalex.org/W2012117566","https://openalex.org/W1981856929","https://openalex.org/W2300921526","https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642"],"abstract_inverted_index":{"Uplift":[0],"modeling":[1,57],"is":[2,48],"a":[3,26,54,60,66,72,79,139,147],"widely":[4],"recognized":[5],"predictive":[6,170],"approach":[7,31],"used":[8],"to":[9,16,19,65,71,173],"identify":[10],"individuals":[11],"who":[12],"are":[13],"more":[14],"likely":[15],"respond":[17],"positively":[18],"an":[20],"intervention":[21],"or":[22],"treatment,":[23],"such":[24],"as":[25],"marketing":[27,67],"campaign.":[28],"However,":[29],"this":[30,75],"can":[32],"be":[33],"negatively":[34],"affected":[35],"by":[36,88],"the":[37,43,85,106,111,161,164],"class-imbalance":[38,86,107],"problem,":[39],"which":[40],"occurs":[41],"when":[42],"distribution":[44],"of":[45,114,118,163,182],"target":[46],"classes":[47],"highly":[49],"skewed.":[50],"For":[51],"instance,":[52],"in":[53,101,116,180],"class-imbalanced":[55],"uplift":[56],"task,":[58],"only":[59],"small":[61],"fraction":[62],"typically":[63],"responds":[64],"campaign":[68],"that":[69,83,127],"leads":[70],"purchase.":[73],"In":[74],"paper,":[76],"we":[77,104,137],"propose":[78],"novel":[80],"resampling":[81,125,175],"scheme":[82],"addresses":[84],"issue":[87],"combining":[89],"intelligent":[90,99],"oversampling":[91,100],"and":[92,109,135,145],"propensity":[93],"score":[94],"matching":[95],"(PSM).":[96],"By":[97],"leveraging":[98],"observational":[102],"studies,":[103],"alleviate":[105],"problem":[108],"mitigate":[110],"negative":[112],"effects":[113],"PSM":[115],"terms":[117,181],"information":[119],"loss.":[120],"We":[121],"introduce":[122],"two":[123],"efficient":[124,153],"schemes":[126],"intelligently":[128],"combine":[129],"these":[130],"approaches.":[131],"To":[132],"ensure":[133],"scalability":[134],"effectiveness,":[136],"adopt":[138],"distributed":[140],"framework":[141],"based":[142],"on":[143],"MapReduce":[144],"utilize":[146],"hybrid":[148],"spill":[149],"trees":[150],"algorithm":[151],"for":[152],"nearest":[154],"neighbor":[155],"search.":[156],"Our":[157],"experimental":[158],"results":[159],"demonstrate":[160],"advantages":[162],"proposed":[165],"method,":[166],"achieving":[167],"statistically":[168],"superior":[169],"performance":[171],"compared":[172],"other":[174],"approaches":[176],"while":[177],"maintaining":[178],"efficiency":[179],"overall":[183],"running":[184],"times.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
