{"id":"https://openalex.org/W3089379360","doi":"https://doi.org/10.1186/s40537-020-00352-3","title":"A novel method of constrained feature selection by the measurement of pairwise constraints uncertainty","display_name":"A novel method of constrained feature selection by the measurement of pairwise constraints uncertainty","publication_year":2020,"publication_date":"2020-10-02","ids":{"openalex":"https://openalex.org/W3089379360","doi":"https://doi.org/10.1186/s40537-020-00352-3","mag":"3089379360"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-020-00352-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00352-3","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00352-3","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00352-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013127809","display_name":"Mehrdad Rostami","orcid":"https://orcid.org/0000-0001-5710-217X"},"institutions":[{"id":"https://openalex.org/I3124704065","display_name":"University of Kurdistan","ror":"https://ror.org/04k89yk85","country_code":"IR","type":"education","lineage":["https://openalex.org/I3124704065"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mehrdad Rostami","raw_affiliation_strings":["Department of Computer Engineering, University of Kurdistan, Sanandaj, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Kurdistan, Sanandaj, Iran","institution_ids":["https://openalex.org/I3124704065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065051130","display_name":"Kamal Berahmand","orcid":"https://orcid.org/0000-0003-4459-0703"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Kamal Berahmand","raw_affiliation_strings":["Department of Science and Engineering, Queensland University of Technology, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4459-0703","affiliations":[{"raw_affiliation_string":"Department of Science and Engineering, Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037377774","display_name":"Saman Forouzandeh","orcid":"https://orcid.org/0000-0002-5952-156X"},"institutions":[{"id":"https://openalex.org/I170733385","display_name":"University of Applied Science and Technology","ror":"https://ror.org/04r58gt57","country_code":"IR","type":"education","lineage":["https://openalex.org/I170733385"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Saman Forouzandeh","raw_affiliation_strings":["Department of Computer Engineering, University of Applied Science and Technology, Center of Tehran Municipality, ICT org, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Applied Science and Technology, Center of Tehran Municipality, ICT org, Tehran, Iran","institution_ids":["https://openalex.org/I170733385"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065051130"],"corresponding_institution_ids":["https://openalex.org/I160993911"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":7.3382,"has_fulltext":true,"cited_by_count":62,"citation_normalized_percentile":{"value":0.97726318,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"7","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":0.991599977016449,"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":0.991599977016449,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7504806518554688},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7073718905448914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6907461285591125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5887739062309265},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5488208532333374},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5369733572006226},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5236727595329285},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5099941492080688},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.48939934372901917},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.48390254378318787},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4783077538013458},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4557594060897827},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45060279965400696},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4492741823196411},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4385344088077545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21034955978393555},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09399017691612244}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7504806518554688},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7073718905448914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6907461285591125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5887739062309265},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5488208532333374},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5369733572006226},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5236727595329285},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5099941492080688},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.48939934372901917},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.48390254378318787},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4783077538013458},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4557594060897827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45060279965400696},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4492741823196411},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4385344088077545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21034955978393555},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09399017691612244},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-020-00352-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00352-3","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00352-3","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b5820da2eb63498c9ff87f6ae9802a6f","is_oa":true,"landing_page_url":"https://doaj.org/article/b5820da2eb63498c9ff87f6ae9802a6f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 7, Iss 1, Pp 1-21 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-020-00352-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00352-3","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00352-3","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320983","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3089379360.pdf","grobid_xml":"https://content.openalex.org/works/W3089379360.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W31541886","https://openalex.org/W204835077","https://openalex.org/W351296582","https://openalex.org/W1485955713","https://openalex.org/W1578099820","https://openalex.org/W1583700199","https://openalex.org/W1963763787","https://openalex.org/W1967040415","https://openalex.org/W1968523955","https://openalex.org/W1982789392","https://openalex.org/W1993573509","https://openalex.org/W1995502233","https://openalex.org/W2000124990","https://openalex.org/W2014102731","https://openalex.org/W2014802425","https://openalex.org/W2025568499","https://openalex.org/W2027902860","https://openalex.org/W2035743720","https://openalex.org/W2068431618","https://openalex.org/W2068833644","https://openalex.org/W2076046792","https://openalex.org/W2089167462","https://openalex.org/W2091255497","https://openalex.org/W2102831150","https://openalex.org/W2109928590","https://openalex.org/W2119387367","https://openalex.org/W2121947440","https://openalex.org/W2125301736","https://openalex.org/W2128728535","https://openalex.org/W2133462743","https://openalex.org/W2133990480","https://openalex.org/W2149620660","https://openalex.org/W2150687401","https://openalex.org/W2156718197","https://openalex.org/W2167101736","https://openalex.org/W2171307033","https://openalex.org/W2296367925","https://openalex.org/W2343420905","https://openalex.org/W2486680205","https://openalex.org/W2550999023","https://openalex.org/W2554676782","https://openalex.org/W2558423823","https://openalex.org/W2767768852","https://openalex.org/W2775279345","https://openalex.org/W2897301007","https://openalex.org/W2900278036","https://openalex.org/W2901693736","https://openalex.org/W2902479064","https://openalex.org/W2905284068","https://openalex.org/W2905311528","https://openalex.org/W2905779127","https://openalex.org/W2940994176","https://openalex.org/W2946807672","https://openalex.org/W2950670285","https://openalex.org/W2957046493","https://openalex.org/W2963891399","https://openalex.org/W2963951026","https://openalex.org/W2980017318","https://openalex.org/W2985207252","https://openalex.org/W3008612536","https://openalex.org/W3022782153","https://openalex.org/W3042146368","https://openalex.org/W3044416185","https://openalex.org/W4249247926","https://openalex.org/W6628085419"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2487162673","https://openalex.org/W2923538289","https://openalex.org/W2011472225","https://openalex.org/W2767338541","https://openalex.org/W3000057026","https://openalex.org/W3048565508","https://openalex.org/W3163984363","https://openalex.org/W2156571267","https://openalex.org/W2747166117"],"abstract_inverted_index":{"Abstract":[0],"In":[1,151,226],"the":[2,5,16,23,85,92,96,101,105,116,122,127,144,152,158,170,186,192,195,210,220,223,228,233,237,245,258,263,267,273],"past":[3],"decades,":[4],"rapid":[6,17],"growth":[7,18],"of":[8,19,47,66,81,124,130,146,160,185,194,222,247,266],"computer":[9],"and":[10,37,54,91,135,143,172,197,243],"database":[11],"technologies":[12],"has":[13,261],"led":[14],"to":[15,60,77,95,118,191,219],"large-scale":[20],"datasets.":[21,205],"On":[22],"other":[24,90],"hand,":[25],"data":[26,53,56,72],"mining":[27],"applications":[28],"with":[29,84,88,217],"high":[30,35],"dimensional":[31],"datasets":[32],"that":[33,209,232,257],"require":[34],"speed":[36],"accuracy":[38,221,239],"are":[39,57,133,139],"rapidly":[40],"increasing.":[41],"Semi-supervised":[42],"learning":[43,49,269],"is":[44,76,100,149,165,181],"a":[45,79,175],"class":[46],"machine":[48,268],"in":[50,121,162],"which":[51,99],"unlabeled":[52],"labeled":[55,71,110],"used":[58,115],"simultaneously":[59],"improve":[61],"feature":[62,67,74,106,178,200],"selection.":[63],"The":[64,183,206],"goal":[65],"selection":[68,107,179,201],"over":[69,108],"partially":[70],"(semi-supervised":[73],"selection)":[75],"choose":[78],"subset":[80],"available":[82],"features":[83,249],"lowest":[86],"redundancy":[87],"each":[89,131,147,156],"highest":[93],"relevancy":[94],"target":[97],"class,":[98],"same":[102],"objective":[103],"as":[104],"entirely":[109],"data.":[111],"This":[112],"method":[113,188,260],"actually":[114],"classification":[117,238,274],"reduce":[119],"ambiguity":[120],"range":[123,164],"values.":[125],"First,":[126],"similarity":[128,173],"values":[129,138],"pair":[132],"collected,":[134],"then":[136],"these":[137],"divided":[140],"into":[141],"intervals,":[142],"average":[145],"interval":[148],"determined.":[150],"next":[153],"step,":[154],"for":[155],"interval,":[157],"number":[159,246],"pairs":[161],"this":[163],"counted.":[166],"Finally,":[167],"by":[168,240,250],"using":[169],"strength":[171],"matrices,":[174],"new":[176],"constraint":[177],"ranking":[180],"proposed.":[182],"performance":[184,193],"presented":[187,234],"was":[189],"compared":[190],"state-of-the-art,":[196],"well-known":[198],"semi-supervised":[199],"approaches":[202,216],"on":[203],"eight":[204],"results":[207,230],"indicate":[208],"proposed":[211,259],"approach":[212,235],"improves":[213],"previous":[214],"related":[215],"respect":[218],"constrained":[224],"score.":[225],"particular,":[227],"numerical":[229],"showed":[231],"improved":[236],"about":[241],"3%":[242],"reduced":[244,262],"selected":[248],"1%.":[251],"Consequently,":[252],"it":[253],"can":[254],"be":[255],"said":[256],"computational":[264],"complexity":[265],"algorithm":[270],"despite":[271],"increasing":[272],"accuracy.":[275]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-23T05:10:03.516525","created_date":"2025-10-10T00:00:00"}
