{"id":"https://openalex.org/W1970337045","doi":"https://doi.org/10.1109/isda.2011.6121689","title":"Novel resampling method for the classification of imbalanced datasets for industrial and other real-world problems","display_name":"Novel resampling method for the classification of imbalanced datasets for industrial and other real-world problems","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W1970337045","doi":"https://doi.org/10.1109/isda.2011.6121689","mag":"1970337045"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2011.6121689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2011.6121689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 11th International Conference on Intelligent Systems Design and Applications","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/A5024534618","display_name":"Silvia Cateni","orcid":"https://orcid.org/0000-0002-5103-3481"},"institutions":[{"id":"https://openalex.org/I162290304","display_name":"Scuola Superiore Sant'Anna","ror":"https://ror.org/025602r80","country_code":"IT","type":"education","lineage":["https://openalex.org/I162290304"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Silvia Cateni","raw_affiliation_strings":["TeCIP Institute, Scuola Superiore Sant'Anna, Pisa, Italy","[TeCIP Institute, Scuola Superiore Sant'Anna, Pisa, Italy]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TeCIP Institute, Scuola Superiore Sant'Anna, Pisa, Italy","institution_ids":["https://openalex.org/I162290304"]},{"raw_affiliation_string":"[TeCIP Institute, Scuola Superiore Sant'Anna, Pisa, Italy]","institution_ids":["https://openalex.org/I162290304"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033400760","display_name":"Valentina Colla","orcid":"https://orcid.org/0000-0002-9574-0575"},"institutions":[{"id":"https://openalex.org/I162290304","display_name":"Scuola Superiore Sant'Anna","ror":"https://ror.org/025602r80","country_code":"IT","type":"education","lineage":["https://openalex.org/I162290304"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Valentina Colla","raw_affiliation_strings":["TeCIP Institute, Scuola Superiore Sant'Anna, Pisa, Italy","[TeCIP Institute, Scuola Superiore Sant'Anna, Pisa, Italy]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TeCIP Institute, Scuola Superiore Sant'Anna, Pisa, Italy","institution_ids":["https://openalex.org/I162290304"]},{"raw_affiliation_string":"[TeCIP Institute, Scuola Superiore Sant'Anna, Pisa, Italy]","institution_ids":["https://openalex.org/I162290304"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070598302","display_name":"Marco Vannucci","orcid":"https://orcid.org/0000-0002-6115-1588"},"institutions":[{"id":"https://openalex.org/I162290304","display_name":"Scuola Superiore Sant'Anna","ror":"https://ror.org/025602r80","country_code":"IT","type":"education","lineage":["https://openalex.org/I162290304"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Vannucci","raw_affiliation_strings":["TeCIP Institute, Scuola Superiore Sant'Anna, Pisa, Italy","[TeCIP Institute, Scuola Superiore Sant'Anna, Pisa, Italy]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TeCIP Institute, Scuola Superiore Sant'Anna, Pisa, Italy","institution_ids":["https://openalex.org/I162290304"]},{"raw_affiliation_string":"[TeCIP Institute, Scuola Superiore Sant'Anna, Pisa, Italy]","institution_ids":["https://openalex.org/I162290304"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8793,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.79168348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"402","last_page":"407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9829000234603882,"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":0.9645000100135803,"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/undersampling","display_name":"Undersampling","score":0.8954966068267822},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.8870426416397095},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.8532909154891968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7164056301116943},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5946372151374817},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5907568335533142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5854321718215942},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.585159957408905},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5383701324462891},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5126792192459106},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4173709750175476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41039419174194336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17556232213974}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.8954966068267822},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8870426416397095},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.8532909154891968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7164056301116943},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5946372151374817},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5907568335533142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5854321718215942},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.585159957408905},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5383701324462891},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5126792192459106},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4173709750175476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41039419174194336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17556232213974},{"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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"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/isda.2011.6121689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2011.6121689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 11th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:www.iris.sssup.it:11382/324365","is_oa":false,"landing_page_url":"http://hdl.handle.net/11382/324365","pdf_url":null,"source":{"id":"https://openalex.org/S4377196376","display_name":"CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I162290304","host_organization_name":"Scuola Superiore Sant'Anna","host_organization_lineage":["https://openalex.org/I162290304"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1969557815","https://openalex.org/W1997254720","https://openalex.org/W2023639956","https://openalex.org/W2099791377","https://openalex.org/W2119821739","https://openalex.org/W2137880226","https://openalex.org/W2145384715","https://openalex.org/W2148143831","https://openalex.org/W2158508433","https://openalex.org/W2160026089","https://openalex.org/W2330820318","https://openalex.org/W3085162807","https://openalex.org/W4239510810","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4308469503","https://openalex.org/W32988189","https://openalex.org/W2904737874","https://openalex.org/W80466363","https://openalex.org/W4389233021","https://openalex.org/W2399571531","https://openalex.org/W2947132063","https://openalex.org/W4390415670","https://openalex.org/W2023639956","https://openalex.org/W3188632291"],"abstract_inverted_index":{"The":[0,112],"paper":[1,49],"deals":[2],"a":[3,50,100,103],"novel":[4],"resampling":[5,52,135,147],"method":[6,53],"in":[7,14,23,119,122],"order":[8,64],"to":[9,65,139],"cope":[10],"with":[11],"imbalanced":[12],"dataset":[13,107],"binary":[15,95],"classification":[16,96],"problems.":[17],"Imbalanced":[18],"datasets":[19],"are":[20,38,92,115,143],"frequently":[21],"found":[22],"many":[24],"industrial":[25,110],"applications:":[26],"for":[27,94],"instance,":[28],"the":[29,67,70,120,124,130,140,150],"occurrence":[30],"of":[31,44,69],"particular":[32],"product":[33],"defects":[34],"or":[35],"machine":[36],"faults":[37],"rare":[39],"events":[40],"whose":[41],"detection":[42],"is":[43,61,127,137],"utmost":[45],"importance.":[46],"In":[47,63],"this":[48],"new":[51],"combining":[54],"an":[55,58],"oversampling":[56],"and":[57,85,108,117,148],"undersampling":[59],"techniques":[60],"treated.":[62],"prove":[66],"effectiveness":[68],"proposed":[71],"approach,":[72,153],"several":[73],"tests":[74],"have":[75,88],"been":[76,89],"developed.":[77],"Two":[78],"classifiers":[79,132],"based":[80],"on":[81,97],"Support":[82],"Vector":[83],"Machine":[84],"Decision":[86],"Tree":[87],"designed,":[90],"which":[91],"applied":[93],"four":[98],"datasets:":[99],"synthetic":[101],"dataset,":[102],"widely":[104],"used":[105],"public":[106],"two":[109,131],"datasets.":[111],"obtained":[113,144],"results":[114],"presented":[116],"discussed":[118],"paper;":[121],"particular,":[123],"performance":[125],"that":[126,142],"achieved":[128],"by":[129],"through":[133,149],"our":[134],"approach":[136],"compared":[138],"ones":[141],"without":[145],"any":[146],"classical":[151],"SMOTE":[152],"respectively.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
