{"id":"https://openalex.org/W2892920965","doi":"https://doi.org/10.3233/ida-173534","title":"Improved over-sampling techniques based on sparse representation for imbalance problem","display_name":"Improved over-sampling techniques based on sparse representation for imbalance problem","publication_year":2018,"publication_date":"2018-09-26","ids":{"openalex":"https://openalex.org/W2892920965","doi":"https://doi.org/10.3233/ida-173534","mag":"2892920965"},"language":"en","primary_location":{"id":"doi:10.3233/ida-173534","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-173534","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-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/A5011982638","display_name":"Xionggao Zou","orcid":"https://orcid.org/0000-0003-1194-5088"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xionggao Zou","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, Jilin, China","Symbol Computation and Knowledge Engineer of Ministry of Education, Jilin University, Changchun, Jilin, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Symbol Computation and Knowledge Engineer of Ministry of Education, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100940060","display_name":"Yueping Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueping Feng","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, Jilin, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603788","display_name":"Huiying Li","orcid":"https://orcid.org/0000-0002-3637-2581"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huiying Li","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, Jilin, China","Symbol Computation and Knowledge Engineer of Ministry of Education, Jilin University, Changchun, Jilin, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Symbol Computation and Knowledge Engineer of Ministry of Education, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041917148","display_name":"Shuyu Jiang","orcid":"https://orcid.org/0000-0003-4711-4112"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyu Jiang","raw_affiliation_strings":["College of Software, Jilin University, Changchun, Jilin, China","E-mail:"],"affiliations":[{"raw_affiliation_string":"College of Software, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100603788"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":null,"apc_paid":null,"fwci":0.4887,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73240595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":"5","first_page":"939","last_page":"958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9972000122070312,"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":0.9972000122070312,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/sparse-approximation","display_name":"Sparse approximation","score":0.694869875907898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6239874362945557},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6118531823158264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5751767754554749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5637626647949219},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4653858244419098},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.45765697956085205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4537929594516754},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33382129669189453}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.694869875907898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6239874362945557},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6118531823158264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5751767754554749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5637626647949219},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4653858244419098},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.45765697956085205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4537929594516754},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33382129669189453},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-173534","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-173534","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322174","display_name":"People's Government of Jilin Province","ror":"https://ror.org/02fzqav45"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W932624555","https://openalex.org/W1496056137","https://openalex.org/W1969943393","https://openalex.org/W1990748933","https://openalex.org/W1993220166","https://openalex.org/W2040181375","https://openalex.org/W2049736842","https://openalex.org/W2069959554","https://openalex.org/W2084052726","https://openalex.org/W2107138773","https://openalex.org/W2118978333","https://openalex.org/W2128965734","https://openalex.org/W2129812935","https://openalex.org/W2132791018","https://openalex.org/W2133990480","https://openalex.org/W2137277750","https://openalex.org/W2142827986","https://openalex.org/W2148143831","https://openalex.org/W2151975921","https://openalex.org/W2154332973","https://openalex.org/W2160547390","https://openalex.org/W2490420619","https://openalex.org/W3085162807","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2961085424","https://openalex.org/W2795079307","https://openalex.org/W2004814108","https://openalex.org/W2793058541","https://openalex.org/W2387058352","https://openalex.org/W2130187411","https://openalex.org/W2890544631","https://openalex.org/W2511090434","https://openalex.org/W3118638206"],"abstract_inverted_index":{"The":[0,39,134,159,173],"classification":[1,105],"problem":[2,15,35],"of":[3,48,61,69,71,140],"imbalanced":[4],"datasets":[5,166],"has":[6],"received":[7],"much":[8],"attention":[9],"in":[10,18,36,125],"recent":[11],"years.":[12],"This":[13,122],"imbalance":[14,34],"usually":[16],"occurs":[17],"when":[19],"the":[20,33,49,59,66,78,103,137,141,147,170,193],"ratio":[21],"between":[22],"classes":[23],"is":[24,46,201],"high.":[25],"Many":[26],"techniques":[27,114],"have":[28],"been":[29],"developed":[30],"to":[31,64,153],"tackle":[32],"supervised":[37],"learning.":[38],"Synthetic":[40],"Minority":[41],"Over-sam":[42],"pling":[43],"Technique":[44],"(SMOTE)":[45],"one":[47],"most":[50],"effective":[51,203],"over-sampling":[52],"methods":[53,180],"processing":[54],"this":[55,108],"problem,":[56],"which":[57,100],"changes":[58],"distribution":[60],"training":[62],"sets":[63],"balance":[65],"different":[67],"number":[68],"examples":[70],"each":[72],"class.":[73],"However,":[74],"SMOTE":[75,117,142,206],"randomly":[76],"synthesizes":[77],"minority":[79,86],"instances":[80,96],"along":[81],"a":[82,85,150,155],"line":[83],"joining":[84],"instance":[87],"and":[88,97,127,146,189,207],"its":[89],"selected":[90],"nearest":[91],"neighbors,":[92],"ignoring":[93],"nearby":[94],"majority":[95],"isolated":[98],"points,":[99],"would":[101],"affect":[102],"final":[104],"result.":[106],"In":[107],"paper,":[109],"we":[110],"propose":[111],"two":[112],"improved":[113],"based":[115],"on":[116,163,185],"through":[118],"sparse":[119,144,151],"representation":[120],"theory.":[121],"extension":[123],"results":[124,175,194],"Sparse-SMOTE":[126,135],"SROT":[128,148],"(Sparse":[129],"Representation":[130],"Based":[131],"Over-Sampling":[132],"Technique).":[133],"replaces":[136],"k-nearest":[138],"neighbors":[139],"with":[143,205],"representation,":[145],"uses":[149],"dictionary":[152],"create":[154],"synthetic":[156],"sample":[157],"directly.":[158],"experiments":[160],"are":[161],"performed":[162],"10":[164],"UCI":[165],"using":[167],"C4.5":[168],"as":[169],"learning":[171],"algorithm.":[172],"experimental":[174],"show":[176,195],"that":[177,196],"both":[178],"proposed":[179],"can":[181],"achieve":[182],"better":[183],"performance":[184],"TP-Rate,":[186],"F-Measure,":[187],"G-Mean":[188],"AUC":[190],"values.":[191],"Moreover,":[192],"our":[197],"new":[198],"proposals\u2019":[199],"perform":[200],"more":[202],"compared":[204],"some":[208],"other":[209],"approaches.":[210]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}