{"id":"https://openalex.org/W2920567255","doi":"https://doi.org/10.1080/08839514.2019.1583449","title":"Reduction of Training Data Using Parallel Hyperplane for Support Vector Machine","display_name":"Reduction of Training Data Using Parallel Hyperplane for Support Vector Machine","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2920567255","doi":"https://doi.org/10.1080/08839514.2019.1583449","mag":"2920567255"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2019.1583449","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839514.2019.1583449","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5037440522","display_name":"Pardis Birzhandi","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Pardis Birzhandi","raw_affiliation_strings":["College of Software, Sungkyunkwan University, Suwon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Sungkyunkwan University, Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335072","display_name":"Kyung Tae Kim","orcid":"https://orcid.org/0000-0001-6475-6905"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyung Tae Kim","raw_affiliation_strings":["College of Software, Sungkyunkwan University, Suwon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Sungkyunkwan University, Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113853922","display_name":"Byungjun Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byungjun Lee","raw_affiliation_strings":["College of Software, Sungkyunkwan University, Suwon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Sungkyunkwan University, Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079532088","display_name":"Hee Yong Youn","orcid":"https://orcid.org/0000-0003-2833-7628"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hee Yong Youn","raw_affiliation_strings":["College of Software, Sungkyunkwan University, Suwon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Sungkyunkwan University, Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5079532088"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":0.9925,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.79960659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"33","issue":"6","first_page":"497","last_page":"516"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9973000288009644,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9932000041007996,"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/hyperplane","display_name":"Hyperplane","score":0.8804354667663574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8492794036865234},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7844593524932861},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6368635892868042},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6161155700683594},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5885783433914185},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5594781041145325},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5238361954689026},{"id":"https://openalex.org/keywords/data-reduction","display_name":"Data reduction","score":0.4715338349342346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.450923889875412},{"id":"https://openalex.org/keywords/sequential-minimal-optimization","display_name":"Sequential minimal optimization","score":0.43935173749923706},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4078308045864105},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38513505458831787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33649542927742004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08592796325683594}],"concepts":[{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.8804354667663574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8492794036865234},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7844593524932861},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6368635892868042},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6161155700683594},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5885783433914185},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5594781041145325},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5238361954689026},{"id":"https://openalex.org/C153914771","wikidata":"https://www.wikidata.org/wiki/Q5227343","display_name":"Data reduction","level":2,"score":0.4715338349342346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.450923889875412},{"id":"https://openalex.org/C10719679","wikidata":"https://www.wikidata.org/wiki/Q2679145","display_name":"Sequential minimal optimization","level":3,"score":0.43935173749923706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4078308045864105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38513505458831787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33649542927742004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08592796325683594},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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:10.1080/08839514.2019.1583449","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839514.2019.1583449","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9a2e995a8eb14905b491528773da77f3","is_oa":false,"landing_page_url":"https://doaj.org/article/9a2e995a8eb14905b491528773da77f3","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 33, Iss 6, Pp 497-516 (2019)","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3322012971","display_name":null,"funder_award_id":"2017R1A2B2009095","funder_id":"https://openalex.org/F4320322349","funder_display_name":"Ministry of Education, Science and Technology"},{"id":"https://openalex.org/G4906987619","display_name":null,"funder_award_id":"2016R1A6A3A11931385","funder_id":"https://openalex.org/F4320322349","funder_display_name":"Ministry of Education, Science and Technology"},{"id":"https://openalex.org/G800556078","display_name":null,"funder_award_id":"2018-0305-000","funder_id":"https://openalex.org/F4320322349","funder_display_name":"Ministry of Education, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320322349","display_name":"Ministry of Education, Science and Technology","ror":"https://ror.org/01p262204"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W137193333","https://openalex.org/W184442817","https://openalex.org/W319032569","https://openalex.org/W640925362","https://openalex.org/W812309224","https://openalex.org/W1507464753","https://openalex.org/W1563088657","https://openalex.org/W1659225390","https://openalex.org/W1967880316","https://openalex.org/W2003592897","https://openalex.org/W2022750274","https://openalex.org/W2076080604","https://openalex.org/W2100154172","https://openalex.org/W2106462908","https://openalex.org/W2160794449","https://openalex.org/W2164641162","https://openalex.org/W2282723360","https://openalex.org/W2516717842","https://openalex.org/W2608021859"],"related_works":["https://openalex.org/W2383335574","https://openalex.org/W1889103747","https://openalex.org/W1489507320","https://openalex.org/W2348510359","https://openalex.org/W3121830895","https://openalex.org/W2900686919","https://openalex.org/W2047800684","https://openalex.org/W1592900392","https://openalex.org/W2163526212","https://openalex.org/W2036133907"],"abstract_inverted_index":{"Support":[0],"Vector":[1],"Machine":[2],"(SVM)":[3],"is":[4,48],"an":[5],"efficient":[6],"machine":[7],"learning":[8],"technique":[9],"applicable":[10],"to":[11,16,94],"various":[12],"classification":[13,108],"problems":[14],"due":[15],"its":[17,20],"robustness.":[18],"However,":[19],"time":[21,92],"complexity":[22],"grows":[23],"dramatically":[24],"as":[25,109,111],"the":[26,59,62,68,74,85,90,95,105],"number":[27],"of":[28,70,107],"training":[29,54,91],"data":[30,55,71,113],"increases,":[31],"which":[32,50],"makes":[33],"SVM":[34],"impractical":[35],"for":[36],"large-scale":[37],"datasets.":[38],"In":[39,58],"this":[40],"paper,":[41],"a":[42],"novel":[43],"Parallel":[44],"Hyperplane":[45],"(PH)":[46],"scheme":[47,61,87,99],"introduced":[49],"efficiently":[51],"omits":[52],"redundant":[53],"with":[56],"SVM.":[57],"proposed":[60,86],"PHs":[63,75],"are":[64,76],"recursively":[65],"formed":[66],"while":[67,103],"clusters":[69],"points":[72],"outside":[73],"removed":[77],"at":[78],"each":[79],"repetition.":[80],"Computer":[81],"simulation":[82],"reveals":[83],"that":[84],"greatly":[88],"reduces":[89],"compared":[93],"existing":[96],"clustering-based":[97],"reduction":[98,114],"and":[100],"SMO":[101],"scheme,":[102],"allowing":[104],"accuracy":[106],"high":[110],"no":[112],"scheme.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
