{"id":"https://openalex.org/W2906137527","doi":"https://doi.org/10.1109/access.2018.2889122","title":"Fast Data Reduction With Granulation-Based Instances Importance Labeling","display_name":"Fast Data Reduction With Granulation-Based Instances Importance Labeling","publication_year":2018,"publication_date":"2018-12-21","ids":{"openalex":"https://openalex.org/W2906137527","doi":"https://doi.org/10.1109/access.2018.2889122","mag":"2906137527"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2889122","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2889122","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08585005.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08585005.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100656312","display_name":"Xiaoyan Sun","orcid":"https://orcid.org/0000-0002-1386-6853"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyan Sun","raw_affiliation_strings":["Information and Control Engineering College, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1386-6853","affiliations":[{"raw_affiliation_string":"Information and Control Engineering College, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351579","display_name":"Lian Liu","orcid":"https://orcid.org/0000-0002-7833-2131"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lian Liu","raw_affiliation_strings":["Information and Control Engineering College, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7833-2131","affiliations":[{"raw_affiliation_string":"Information and Control Engineering College, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101638206","display_name":"Cong Geng","orcid":"https://orcid.org/0000-0001-7366-4543"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Geng","raw_affiliation_strings":["Information and Control Engineering College, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Control Engineering College, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101028670","display_name":"Shaofeng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaofeng Yang","raw_affiliation_strings":["Asset Management Co., Ltd., China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Asset Management Co., Ltd., China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100656312"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6775,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78680004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"33587","last_page":"33597"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9993000030517578,"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":0.9993000030517578,"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/T11652","display_name":"Imbalanced Data Classification Techniques","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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/reduction","display_name":"Reduction (mathematics)","score":0.6019708514213562},{"id":"https://openalex.org/keywords/data-reduction","display_name":"Data reduction","score":0.5462772250175476},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5333813428878784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.528829038143158},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48092886805534363},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.4482986629009247},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.41469883918762207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3809766173362732},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3623139262199402},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29080480337142944},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.18479210138320923},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.15815430879592896}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6019708514213562},{"id":"https://openalex.org/C153914771","wikidata":"https://www.wikidata.org/wiki/Q5227343","display_name":"Data reduction","level":2,"score":0.5462772250175476},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5333813428878784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.528829038143158},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48092886805534363},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.4482986629009247},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.41469883918762207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3809766173362732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3623139262199402},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29080480337142944},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.18479210138320923},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.15815430879592896},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2889122","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2889122","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08585005.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b0067616156646b88162e4feb7020415","is_oa":true,"landing_page_url":"https://doaj.org/article/b0067616156646b88162e4feb7020415","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 33587-33597 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2889122","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2889122","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08585005.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5736638667","display_name":null,"funder_award_id":"61876184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8596261532","display_name":null,"funder_award_id":"61473298","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2906137527.pdf","grobid_xml":"https://content.openalex.org/works/W2906137527.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1863785983","https://openalex.org/W1965551184","https://openalex.org/W1968933949","https://openalex.org/W1982801133","https://openalex.org/W1994410331","https://openalex.org/W1998995856","https://openalex.org/W2002350524","https://openalex.org/W2014403077","https://openalex.org/W2040263621","https://openalex.org/W2057958859","https://openalex.org/W2088598596","https://openalex.org/W2104715395","https://openalex.org/W2107686700","https://openalex.org/W2109574129","https://openalex.org/W2111171370","https://openalex.org/W2122496402","https://openalex.org/W2243049275","https://openalex.org/W2319660501","https://openalex.org/W2367299683","https://openalex.org/W2408839727","https://openalex.org/W2471432754","https://openalex.org/W2521377511","https://openalex.org/W2607281691","https://openalex.org/W2762646486","https://openalex.org/W2786552456","https://openalex.org/W2787714175","https://openalex.org/W2794679165","https://openalex.org/W3120740533","https://openalex.org/W6675978457","https://openalex.org/W6980681139","https://openalex.org/W7061787549"],"related_works":["https://openalex.org/W2029016205","https://openalex.org/W2100576227","https://openalex.org/W2056496840","https://openalex.org/W2355043271","https://openalex.org/W2351220851","https://openalex.org/W4311427401","https://openalex.org/W2087637582","https://openalex.org/W2984382626","https://openalex.org/W2168287352","https://openalex.org/W2171627141"],"abstract_inverted_index":{"Data":[0,16,18],"reduction":[1,19,47,60,172,183,207],"has":[2],"become":[3],"greatly":[4,194],"significant":[5],"prior":[6],"to":[7,22,66,75,103,143],"applying":[8,95],"instance-based":[9],"machine":[10],"learning":[11,50,77],"algorithms":[12],"in":[13,42,45,114,168],"the":[14,24,76,109,161,190,196,206,210,214],"Big":[15],"era.":[17],"is":[20,83,117,141,176,209],"used":[21],"reduce":[23,195],"size":[25,46,171,208],"of":[26,111,157],"data":[27,59,81,158,182],"sets":[28,159],"while":[29],"retaining":[30],"representative":[31],"data.":[32],"Existing":[33],"algorithms,":[34],"however,":[35],"suffer":[36],"from":[37,160],"heavy":[38],"computational":[39,197],"cost":[40,198],"and":[41,49,164,174,199],"having":[43],"tradeoff":[44],"rate":[48],"accuracy.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55],"propose":[56],"a":[57,104,201],"fast":[58],"approach":[61],"by":[62,94,178],"using":[63],"granular":[64],"computing":[65],"label":[67],"important":[68],"instances,":[69],"i.e.,":[70],"instances":[71,125],"with":[72,153,180],"higher":[73,202],"contributions":[74],"task.":[78],"The":[79,138,185],"original":[80],"set":[82],"first":[84],"granulated":[85],"into":[86],"<inline-formula":[87,96,144],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[88,97,145],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[89,98,146],"<tex-math":[90,99,147],"notation=\"LaTeX\">$K$":[91,100],"</tex-math></inline-formula>":[92,101,149],"granules":[93],"-means":[102],"mapped":[105],"lower-dimension":[106],"space.":[107],"Then,":[108],"importance":[110,127],"each":[112],"instance":[113],"every":[115],"granule":[116],"labeled":[118],"based":[119],"on":[120],"its":[121,165],"Hausdorff":[122],"distance.":[123],"Those":[124],"whose":[126],"values":[128],"are":[129,136],"lower":[130],"than":[131],"an":[132],"experimentally":[133],"tuned":[134],"threshold":[135],"eliminated.":[137],"presented":[139],"algorithm":[140,192],"applied":[142],"notation=\"LaTeX\">$k$":[148],"NN":[150],"classification":[151,169,203],"tasks":[152],"eighteen":[154],"different":[155],"sizes":[156],"UCI":[162],"repository,":[163],"outstanding":[166],"performance":[167],"accuracy,":[170],"rate,":[173],"runtime":[175],"illustrated":[177],"comparing":[179],"seven":[181],"methods.":[184],"experimental":[186],"results":[187],"demonstrate":[188],"that":[189],"proposed":[191],"can":[193],"achieve":[200],"accuracy":[204],"when":[205],"same":[211],"for":[212],"all":[213],"compared":[215],"algorithms.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}