{"id":"https://openalex.org/W4389747869","doi":"https://doi.org/10.1109/tbdata.2023.3342643","title":"Bi-Selection of Instances and Features Based on Neighborhood Importance Degree","display_name":"Bi-Selection of Instances and Features Based on Neighborhood Importance Degree","publication_year":2023,"publication_date":"2023-12-14","ids":{"openalex":"https://openalex.org/W4389747869","doi":"https://doi.org/10.1109/tbdata.2023.3342643"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2023.3342643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2023.3342643","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","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/A5061062034","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0002-7435-1511"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":["Department of Applied Mathematics, Xi&#x2019;an University of Technology, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-7435-1511","affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Xi&#x2019;an University of Technology, Xi&#x2019;an, Shaanxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101279654","display_name":"Zhaoqian He","orcid":"https://orcid.org/0009-0003-0999-6406"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhaoqian He","raw_affiliation_strings":["Department of Applied Mathematics, Xi&#x2019;an University of Technology, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0003-0999-6406","affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Xi&#x2019;an University of Technology, Xi&#x2019;an, Shaanxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012023654","display_name":"Jinhai Li","orcid":"https://orcid.org/0000-0002-5206-9304"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhai Li","raw_affiliation_strings":["Faculty of Science, Kunming University of Science and Technology, Kunming, Yunnan, China"],"raw_orcid":"https://orcid.org/0000-0002-5206-9304","affiliations":[{"raw_affiliation_string":"Faculty of Science, Kunming University of Science and Technology, Kunming, Yunnan, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001122836","display_name":"Changlin Mei","orcid":null},"institutions":[{"id":"https://openalex.org/I27599042","display_name":"Xi'an Polytechnic University","ror":"https://ror.org/03442p831","country_code":"CN","type":"education","lineage":["https://openalex.org/I27599042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changlin Mei","raw_affiliation_strings":["Department of Finance and Statistics, Xi&#x2019;an Polytechnic University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Finance and Statistics, Xi&#x2019;an Polytechnic University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I27599042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100610815","display_name":"Yanyan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Yang","raw_affiliation_strings":["School of Software Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061062034"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1337,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89660781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"10","issue":"4","first_page":"415","last_page":"428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.998199999332428,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9944000244140625,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9879999756813049,"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/computer-science","display_name":"Computer science","score":0.7602417469024658},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6689991354942322},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5880038738250732},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5672686100006104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5364736914634705},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.496552050113678},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48250341415405273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45883482694625854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32645806670188904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7602417469024658},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6689991354942322},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5880038738250732},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5672686100006104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5364736914634705},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.496552050113678},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48250341415405273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45883482694625854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32645806670188904},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2023.3342643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2023.3342643","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3114920020","display_name":null,"funder_award_id":"12371514","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4388412398","display_name":null,"funder_award_id":"11971211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G687151345","display_name":null,"funder_award_id":"12271420","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7211328900","display_name":null,"funder_award_id":"12171388","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1512234690","https://openalex.org/W1524157153","https://openalex.org/W1527854642","https://openalex.org/W1994410331","https://openalex.org/W1995875735","https://openalex.org/W1996323836","https://openalex.org/W2013267216","https://openalex.org/W2024172683","https://openalex.org/W2041182276","https://openalex.org/W2057532020","https://openalex.org/W2059429344","https://openalex.org/W2071978572","https://openalex.org/W2107686700","https://openalex.org/W2130211837","https://openalex.org/W2131687179","https://openalex.org/W2134086158","https://openalex.org/W2137205163","https://openalex.org/W2143821562","https://openalex.org/W2158633287","https://openalex.org/W2158724449","https://openalex.org/W2167101736","https://openalex.org/W2170729459","https://openalex.org/W2295845123","https://openalex.org/W2395763878","https://openalex.org/W2574401261","https://openalex.org/W2609332722","https://openalex.org/W2699869760","https://openalex.org/W2803748664","https://openalex.org/W2807198477","https://openalex.org/W2887660732","https://openalex.org/W2910351322","https://openalex.org/W2912707296","https://openalex.org/W2952429360","https://openalex.org/W2956917852","https://openalex.org/W2994713090","https://openalex.org/W2998216295","https://openalex.org/W3004511681","https://openalex.org/W3009567802","https://openalex.org/W3029713334","https://openalex.org/W3033372010","https://openalex.org/W3119432884","https://openalex.org/W3164150245","https://openalex.org/W3189365424","https://openalex.org/W3195285466","https://openalex.org/W3199552928","https://openalex.org/W3206609021","https://openalex.org/W4255833381","https://openalex.org/W4285061533","https://openalex.org/W4289792606","https://openalex.org/W4312478715","https://openalex.org/W4319871506","https://openalex.org/W4322576590","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2382278777","https://openalex.org/W2107349454","https://openalex.org/W2353240132","https://openalex.org/W1964260090","https://openalex.org/W2375932290","https://openalex.org/W1486178390","https://openalex.org/W138553499","https://openalex.org/W2131323062","https://openalex.org/W4308273529"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,51,58,72,74,95,106,114,177,187],"the":[3,23,48,56,70,85,112,145,175],"most":[4],"important":[5],"concepts":[6],"for":[7,138],"classification":[8,192],"learning,":[9],"neighborhood":[10,32,59,80,87,97,108,140],"granules":[11,33],"obtained":[12],"by":[13,55],"dividing":[14],"adjacent":[15],"objects":[16],"or":[17],"instances":[18,54,75,126,164],"can":[19,184],"be":[20],"regarded":[21],"as":[22],"minimal":[24],"elements":[25],"to":[26,38,47,91,123,162,173],"simulate":[27],"human":[28],"cognition.":[29],"At":[30],"present,":[31],"have":[34],"been":[35,45],"successfully":[36],"applied":[37],"knowledge":[39],"acquisition.":[40],"Nevertheless,":[41],"little":[42],"work":[43],"has":[44],"devoted":[46],"simultaneous":[49],"selection":[50,119,134,147,150],"features":[52,77],"and":[53,76,103,148,165,191],"use":[57],"granules.":[60],"To":[61],"fill":[62],"this":[63,68],"gap,":[64],"we":[65,110],"investigate":[66],"in":[67,198],"paper":[69],"issue":[71],"bi-selection":[73,153],"based":[78,127,155],"on":[79,128,156],"importance":[81],"degree":[82],"(NID).":[83],"Firstly,":[84],"conditional":[86],"entropy":[88],"is":[89,121,136,159],"defined":[90],"measure":[92],"decision":[93,101,141],"uncertainty":[94,102],"a":[96,107,139,152],"granule.":[98],"Considering":[99],"both":[100,188],"coverage":[104],"ability":[105],"granule,":[109],"propose":[111],"concept":[113],"NID.":[115,129],"Then,":[116],"an":[117,131],"instance":[118,146],"algorithm":[120,135],"formulated":[122],"select":[124,163],"representative":[125],"Furthermore,":[130],"NID-based":[132],"feature":[133,149],"provided":[137],"system.":[142],"By":[143],"integrating":[144],"methods,":[151],"approach":[154],"NID":[157],"(BSNID)":[158],"finally":[160],"proposed":[161],"features.":[166],"Lastly,":[167],"some":[168],"numerical":[169],"experiments":[170],"are":[171],"conducted":[172],"evaluate":[174],"performance":[176],"BSNID.":[178],"The":[179],"results":[180],"demonstrate":[181],"that":[182],"BSNID":[183],"take":[185],"account":[186],"reduction":[189],"ratio":[190],"accuracy":[193],"and,":[194],"therefore,":[195],"performs":[196],"satisfactorily":[197],"effectiveness.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
