{"id":"https://openalex.org/W4321491764","doi":"https://doi.org/10.1155/2023/4196920","title":"Semisupervised Bacterial Heuristic Feature Selection Algorithm for High\u2010Dimensional Classification with Missing Labels","display_name":"Semisupervised Bacterial Heuristic Feature Selection Algorithm for High\u2010Dimensional Classification with Missing Labels","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321491764","doi":"https://doi.org/10.1155/2023/4196920"},"language":"en","primary_location":{"id":"doi:10.1155/2023/4196920","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/4196920","pdf_url":"https://downloads.hindawi.com/journals/ijis/2023/4196920.pdf","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/ijis/2023/4196920.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100766854","display_name":"Hong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Wang","raw_affiliation_strings":["College of Management, Shenzhen University, Shenzhen","College of Management, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062336355","display_name":"Yikun Ou","orcid":"https://orcid.org/0000-0003-0783-3075"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikun Ou","raw_affiliation_strings":["College of Management, Shenzhen University, Shenzhen","College of Management, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328536","display_name":"Yixin Wang","orcid":"https://orcid.org/0000-0002-2789-7909"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixin Wang","raw_affiliation_strings":["College of Management, Shenzhen University, Shenzhen","College of Management, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076297880","display_name":"Tongtong Xing","orcid":"https://orcid.org/0000-0002-1210-3010"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongtong Xing","raw_affiliation_strings":["College of Management, Shenzhen University, Shenzhen","College of Management, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024347300","display_name":"Lijing Tan","orcid":"https://orcid.org/0000-0002-3744-0312"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijing Tan","raw_affiliation_strings":["School of Management, Shenzhen Institute of Information Technology, Shenzhen","School of Management, Shenzhen Institute of Information Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Shenzhen Institute of Information Technology, Shenzhen","institution_ids":["https://openalex.org/I158809036"]},{"raw_affiliation_string":"School of Management, Shenzhen Institute of Information Technology, Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024347300"],"corresponding_institution_ids":["https://openalex.org/I158809036"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":{"value":2500,"currency":"USD","value_usd":2500},"fwci":1.035,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80293925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"2023","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.996399998664856,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.996399998664856,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9962000250816345,"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/T10057","display_name":"Face and Expression Recognition","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/feature-selection","display_name":"Feature selection","score":0.7624495029449463},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7260207533836365},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.7024349570274353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6348305344581604},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6309962868690491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.61555016040802},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5616628527641296},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5060195326805115},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4904053211212158},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39135462045669556},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3812825679779053}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7624495029449463},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7260207533836365},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.7024349570274353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6348305344581604},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6309962868690491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.61555016040802},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5616628527641296},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5060195326805115},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4904053211212158},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39135462045669556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3812825679779053},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/2023/4196920","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/4196920","pdf_url":"https://downloads.hindawi.com/journals/ijis/2023/4196920.pdf","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/2023/4196920","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/4196920","pdf_url":"https://downloads.hindawi.com/journals/ijis/2023/4196920.pdf","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1033160706","display_name":null,"funder_award_id":"2020A1515010752","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939747385","display_name":null,"funder_award_id":"71901152","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5970483548","display_name":null,"funder_award_id":"2020A1515010752","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6107177493","display_name":null,"funder_award_id":"5150107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G62913877","display_name":null,"funder_award_id":"2021WCXTD002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7485822598","display_name":null,"funder_award_id":"51501075","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4321491764.pdf"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1964537798","https://openalex.org/W2013885787","https://openalex.org/W2051314441","https://openalex.org/W2074148701","https://openalex.org/W2122122715","https://openalex.org/W2504658994","https://openalex.org/W2508589543","https://openalex.org/W2546550103","https://openalex.org/W2550934283","https://openalex.org/W2590822257","https://openalex.org/W2604226975","https://openalex.org/W2605861043","https://openalex.org/W2791980930","https://openalex.org/W2798925681","https://openalex.org/W2799791930","https://openalex.org/W2890843359","https://openalex.org/W2898354835","https://openalex.org/W2902479064","https://openalex.org/W2910010166","https://openalex.org/W2912293312","https://openalex.org/W2928048063","https://openalex.org/W2929508119","https://openalex.org/W2938690292","https://openalex.org/W2940740645","https://openalex.org/W2944479754","https://openalex.org/W2948110362","https://openalex.org/W2963521811","https://openalex.org/W2965763508","https://openalex.org/W2990991805","https://openalex.org/W2997412521","https://openalex.org/W2997786303","https://openalex.org/W3001998614","https://openalex.org/W3011975155","https://openalex.org/W3019871518","https://openalex.org/W3042146368","https://openalex.org/W3044892563","https://openalex.org/W3084996758","https://openalex.org/W3087084215","https://openalex.org/W3110879849","https://openalex.org/W3113371924","https://openalex.org/W3126347848","https://openalex.org/W3128011543","https://openalex.org/W3130601214","https://openalex.org/W3167375140","https://openalex.org/W3185076117","https://openalex.org/W3195285466","https://openalex.org/W4200115207","https://openalex.org/W4200120532","https://openalex.org/W4200439167","https://openalex.org/W4206437360","https://openalex.org/W4210844402","https://openalex.org/W4234632613","https://openalex.org/W4281788067"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W3095877357","https://openalex.org/W183202219","https://openalex.org/W2072565696","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Feature":[0],"selection":[1,49,120,126,133],"is":[2,63,75],"a":[3,44,56],"crucial":[4],"method":[5],"for":[6,93],"discovering":[7],"relevant":[8],"features":[9],"in":[10,29,38,145],"high\u2010dimensional":[11,34],"data.":[12],"However,":[13],"most":[14],"studies":[15],"primarily":[16],"focus":[17],"on":[18,111],"completely":[19],"labeled":[20],"data,":[21],"ignoring":[22],"the":[23,53,71,90,99,102,139],"frequent":[24],"occurrence":[25],"of":[26,101,107,147],"missing":[27,67],"labels":[28],"real\u2010world":[30],"problems.":[31],"To":[32,51,97],"address":[33],"and":[35,83,128,150],"label\u2010missing":[36,54],"problems":[37],"data":[39],"classification":[40,148],"simultaneously,":[41],"we":[42],"proposed":[43,103,140],"semisupervised":[45,60],"bacterial":[46,72,123],"heuristic":[47,73,124,131],"feature":[48,95,119,125,132,152],"algorithm.":[50],"track":[52],"problem,":[55],"k":[57],"\u2010nearest":[58],"neighbor":[59],"learning":[61],"strategy":[62],"designed":[64],"to":[65,88],"reconstruct":[66],"labels.":[68],"In":[69],"addition,":[70],"algorithm":[74,141],"improved":[76],"using":[77],"hierarchical":[78],"population":[79,85],"initialization,":[80],"dynamic":[81],"learning,":[82],"elite":[84],"evolution":[86],"strategies":[87],"enhance":[89],"search":[91],"capacity":[92],"various":[94],"combinations.":[96],"verify":[98],"effectiveness":[100],"algorithm,":[104],"three":[105],"groups":[106],"comparison":[108],"experiments":[109],"based":[110],"eight":[112],"datasets":[113],"are":[114],"employed,":[115],"including":[116],"two":[117,129],"traditional":[118],"methods,":[121],"four":[122],"algorithms,":[127],"swarm\u2010based":[130],"algorithms.":[134],"Experimental":[135],"results":[136],"demonstrate":[137],"that":[138],"has":[142],"obvious":[143],"advantages":[144],"terms":[146],"accuracy":[149],"selected":[151],"numbers.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
