{"id":"https://openalex.org/W4318022677","doi":"https://doi.org/10.1142/s0218001423500088","title":"Feature Selection Based on the Discriminative Significance for Sparse Binary-Valued and Imbalanced Dataset","display_name":"Feature Selection Based on the Discriminative Significance for Sparse Binary-Valued and Imbalanced Dataset","publication_year":2023,"publication_date":"2023-01-26","ids":{"openalex":"https://openalex.org/W4318022677","doi":"https://doi.org/10.1142/s0218001423500088"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001423500088","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001423500088","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5044254634","display_name":"Qiuming Zhu","orcid":"https://orcid.org/0000-0002-5059-4308"},"institutions":[{"id":"https://openalex.org/I122266389","display_name":"University of Nebraska at Omaha","ror":"https://ror.org/04yrkc140","country_code":"US","type":"education","lineage":["https://openalex.org/I122266389"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qiuming Zhu","raw_affiliation_strings":["Department of Computer Science, University of Nebraska at Omaha, Omaha, NE 68182, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Nebraska at Omaha, Omaha, NE 68182, USA","institution_ids":["https://openalex.org/I122266389"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5044254634"],"corresponding_institution_ids":["https://openalex.org/I122266389"],"apc_list":null,"apc_paid":null,"fwci":0.5245,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68929026,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"37","issue":"03","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":0.9998000264167786,"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":0.9998000264167786,"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":0.9962000250816345,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8485449552536011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.718471109867096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6809710264205933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6771738529205322},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6582857966423035},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5328363180160522},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4897727966308594},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4867560863494873},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4862569570541382},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4462498426437378},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4384712278842926},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4283732771873474},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3762754797935486},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.31569045782089233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1957356333732605}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8485449552536011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.718471109867096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6809710264205933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6771738529205322},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6582857966423035},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5328363180160522},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4897727966308594},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4867560863494873},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4862569570541382},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4462498426437378},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4384712278842926},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4283732771873474},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3762754797935486},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.31569045782089233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1957356333732605},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001423500088","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001423500088","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W910462606","https://openalex.org/W1647645866","https://openalex.org/W2013715930","https://openalex.org/W2032223996","https://openalex.org/W2053609837","https://openalex.org/W2061480162","https://openalex.org/W2119387367","https://openalex.org/W2155653793","https://openalex.org/W2158698691","https://openalex.org/W2296045491","https://openalex.org/W2916913565","https://openalex.org/W3015986104","https://openalex.org/W3030391949","https://openalex.org/W3168319761","https://openalex.org/W4206300474"],"related_works":["https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W2773500201","https://openalex.org/W2061273563","https://openalex.org/W2285052147","https://openalex.org/W4287995534","https://openalex.org/W2743258233","https://openalex.org/W2998168123","https://openalex.org/W2970216048","https://openalex.org/W2345184372"],"abstract_inverted_index":{"Identifying":[0],"the":[1,10,47,59,64,80,84,88,94,98,109,115,119,125,131],"significant,":[2],"or":[3],"dominant,":[4],"features":[5,85,89,116],"is":[6,76],"important":[7],"to":[8,46,69,78,93],"reveal":[9],"cause-and-effect":[11],"relations":[12],"in":[13,39],"many":[14],"pattern":[15],"recognition":[16],"applications,":[17],"such":[18],"as":[19],"medical":[20],"diagnosis,":[21],"gene":[22],"analysis,":[23],"cyber":[24],"security,":[25],"finance":[26],"and":[27,37,86,104,117,127],"insurance":[28],"fraud":[29],"detection,":[30],"etc.":[31],"Samples":[32],"that":[33,108],"are":[34],"sparsely":[35],"populated":[36],"binary-valued":[38,128],"highly":[40],"imbalanced":[41],"datasets":[42,106],"pose":[43],"a":[44],"challenge":[45],"identification":[48],"of":[49,63,83,97,114,130],"these":[50],"features.":[51],"This":[52],"paper":[53],"explores":[54],"an":[55],"approach":[56,75,110],"based":[57],"on":[58,102,124],"confusion":[60],"matrix":[61],"measurement":[62],"feature":[65],"values":[66],"with":[67,91],"respect":[68,92],"their":[70],"potential":[71],"classification":[72],"outcomes.":[73],"The":[74],"able":[77],"compute":[79],"Discriminative":[81],"Significances":[82],"rank":[87],"unbiasedly":[90],"imbalance":[95],"ratios":[96],"datasets.":[99,133],"Experiment":[100],"results":[101],"real-world":[103],"experimental":[105],"show":[107],"made":[111],"consistent":[112],"evaluations":[113],"identified":[118],"most":[120],"significant":[121],"ones":[122],"accordingly":[123],"sparse":[126],"samples":[129],"class-imbalanced":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
