{"id":"https://openalex.org/W4408313750","doi":"https://doi.org/10.1007/s13278-025-01423-0","title":"Syngo: synthetic genetic oversampling technique for textual data","display_name":"Syngo: synthetic genetic oversampling technique for textual data","publication_year":2025,"publication_date":"2025-03-11","ids":{"openalex":"https://openalex.org/W4408313750","doi":"https://doi.org/10.1007/s13278-025-01423-0"},"language":"en","primary_location":{"id":"doi:10.1007/s13278-025-01423-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-025-01423-0","pdf_url":null,"source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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":"Social Network Analysis and Mining","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/s13278-025-01423-0","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092767620","display_name":"Sihem Nouas","orcid":null},"institutions":[{"id":"https://openalex.org/I83332908","display_name":"University of Blida","ror":"https://ror.org/03g41pw14","country_code":"DZ","type":"education","lineage":["https://openalex.org/I83332908"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Sihem Nouas","raw_affiliation_strings":["LRDSI Laboratory, Department of Computer Science, Faculty of Sciences, University of Blida 1, Blida, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LRDSI Laboratory, Department of Computer Science, Faculty of Sciences, University of Blida 1, Blida, Algeria","institution_ids":["https://openalex.org/I83332908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036480766","display_name":"Lamia Oukid","orcid":null},"institutions":[{"id":"https://openalex.org/I83332908","display_name":"University of Blida","ror":"https://ror.org/03g41pw14","country_code":"DZ","type":"education","lineage":["https://openalex.org/I83332908"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Lamia Oukid","raw_affiliation_strings":["LRDSI Laboratory, Department of Computer Science, Faculty of Sciences, University of Blida 1, Blida, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LRDSI Laboratory, Department of Computer Science, Faculty of Sciences, University of Blida 1, Blida, Algeria","institution_ids":["https://openalex.org/I83332908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024049568","display_name":"Fatima Boumahdi","orcid":"https://orcid.org/0000-0001-6255-9713"},"institutions":[{"id":"https://openalex.org/I83332908","display_name":"University of Blida","ror":"https://ror.org/03g41pw14","country_code":"DZ","type":"education","lineage":["https://openalex.org/I83332908"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Fatima Boumahdi","raw_affiliation_strings":["LRDSI Laboratory, Department of Computer Science, Faculty of Sciences, University of Blida 1, Blida, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LRDSI Laboratory, Department of Computer Science, Faculty of Sciences, University of Blida 1, Blida, Algeria","institution_ids":["https://openalex.org/I83332908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024049568","https://openalex.org/A5036480766","https://openalex.org/A5092767620"],"corresponding_institution_ids":["https://openalex.org/I83332908"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":2.1782,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88066623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"15","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9927999973297119,"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":0.9927999973297119,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9878000020980835,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9842000007629395,"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":0.868607759475708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6368497014045715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5439997911453247},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5100210309028625},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.46518152952194214},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.368801474571228},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.36865025758743286},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3329389691352844},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3203744888305664},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3182608485221863},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2289380431175232}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.868607759475708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6368497014045715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5439997911453247},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5100210309028625},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.46518152952194214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.368801474571228},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.36865025758743286},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3329389691352844},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3203744888305664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3182608485221863},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2289380431175232},{"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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13278-025-01423-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-025-01423-0","pdf_url":null,"source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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":"Social Network Analysis and Mining","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s13278-025-01423-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-025-01423-0","pdf_url":null,"source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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":"Social Network Analysis and Mining","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1496056137","https://openalex.org/W1551909886","https://openalex.org/W1867431247","https://openalex.org/W1965337628","https://openalex.org/W1985074645","https://openalex.org/W2053724458","https://openalex.org/W2076817280","https://openalex.org/W2104933073","https://openalex.org/W2125027820","https://openalex.org/W2132791018","https://openalex.org/W2148143831","https://openalex.org/W2163455955","https://openalex.org/W2402290443","https://openalex.org/W2435760661","https://openalex.org/W2562741369","https://openalex.org/W2759756773","https://openalex.org/W2771169143","https://openalex.org/W2836242602","https://openalex.org/W2897761334","https://openalex.org/W2908285635","https://openalex.org/W2922580172","https://openalex.org/W2956090150","https://openalex.org/W2963532322","https://openalex.org/W2982058750","https://openalex.org/W3036099941","https://openalex.org/W3042297952","https://openalex.org/W3157699413","https://openalex.org/W3202660839","https://openalex.org/W4212831606","https://openalex.org/W4220731972","https://openalex.org/W4285140661","https://openalex.org/W4296770498","https://openalex.org/W4306167560","https://openalex.org/W4311297504","https://openalex.org/W4312067855","https://openalex.org/W4312742960","https://openalex.org/W4322770734","https://openalex.org/W4323519534","https://openalex.org/W4377261825","https://openalex.org/W4378417801","https://openalex.org/W4386500697","https://openalex.org/W4392481289","https://openalex.org/W6601854141","https://openalex.org/W6891832266","https://openalex.org/W6908871739"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W2781247653","https://openalex.org/W4206637278","https://openalex.org/W4386005305","https://openalex.org/W4386214543","https://openalex.org/W127528661","https://openalex.org/W123443654","https://openalex.org/W3055496383","https://openalex.org/W2903718012","https://openalex.org/W3139059142"],"abstract_inverted_index":{"Text":[0],"data":[1,111,170],"often":[2,33],"exhibits":[3],"class":[4,13,26,57,131],"distribution":[5],"imbalance,":[6],"causing":[7],"classifiers":[8],"to":[9,50,77,153],"favor":[10],"the":[11,55,78,84,125,129,136,141,146,155,158],"majority":[12,130,142],"with":[14,46],"a":[15,62,102],"larger":[16],"number":[17],"of":[18,24,80,86,128,157],"samples,":[19],"resulting":[20],"in":[21,83,95,166,178],"frequent":[22],"misclassification":[23],"minority":[25,43,56,64,137],"samples.":[27],"Furthermore,":[28],"numerical":[29],"text":[30,87,169],"representations":[31],"are":[32],"highly":[34],"dimensional.":[35],"Researchers":[36],"have":[37],"proposed":[38,159],"several":[39,151],"methods":[40,177],"employing":[41],"synthetic":[42,52,98],"over-sampling":[44],"technique":[45,104],"k-nearest":[47],"neighbors":[48],"(k-NN)":[49],"generate":[51],"instances":[53,138,144],"for":[54,109],"by":[58,132],"linearly":[59],"interpolating":[60],"between":[61],"chosen":[63],"instance":[65],"and":[66,171],"its":[67],"k-NN":[68],"neighbors.":[69],"However,":[70],"k-NN-based":[71],"approaches":[72],"may":[73],"face":[74],"challenges":[75],"related":[76],"curse":[79],"dimensionality,":[81],"especially":[82],"case":[85],"oversampling.":[88],"To":[89],"address":[90],"these":[91],"challenges,":[92],"we":[93],"introduce":[94],"this":[96],"paper":[97],"genetic":[99,107],"oversampling":[100,176],"(SYNGO),":[101],"novel":[103],"based":[105],"on":[106,116],"algorithms":[108],"high-dimensional":[110],"that":[112,172],"does":[113],"not":[114,134],"rely":[115],"neighboring":[117],"instances.":[118],"Moreover,":[119],"SYNGO":[120],"detects":[121],"new":[122],"patterns":[123],"using":[124],"inherent":[126],"diversity":[127],"introducing":[133],"only":[135],"but":[139],"also":[140],"borderline":[143],"into":[145],"initial":[147],"population.":[148],"We":[149],"conducted":[150],"experiments":[152],"verify":[154],"performance":[156],"method.":[160],"The":[161],"results":[162],"show":[163],"SYNGO\u2019s":[164],"effectiveness":[165],"classifying":[167],"imbalanced":[168],"it":[173],"outperforms":[174],"other":[175],"downstream":[179],"classification":[180],"tasks.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}