{"id":"https://openalex.org/W1552774211","doi":"https://doi.org/10.3233/ida-140687","title":"Cluster-based sampling of multiclass imbalanced data","display_name":"Cluster-based sampling of multiclass imbalanced data","publication_year":2014,"publication_date":"2014-10-29","ids":{"openalex":"https://openalex.org/W1552774211","doi":"https://doi.org/10.3233/ida-140687","mag":"1552774211"},"language":"en","primary_location":{"id":"doi:10.3233/ida-140687","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-140687","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","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/A5020823042","display_name":"Wanthanee Prachuabsupakij","orcid":null},"institutions":[{"id":"https://openalex.org/I198105771","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21","country_code":"TH","type":"education","lineage":["https://openalex.org/I198105771"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Wanthanee Prachuabsupakij","raw_affiliation_strings":["Department of Computer Science, Faculty of Science, Kasetsart University, Bangkok, Thailand","Department of Computer Science, Faculty of Science, Kasetsart University, Bangkok Thailand#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Science, Kasetsart University, Bangkok, Thailand","institution_ids":["https://openalex.org/I198105771"]},{"raw_affiliation_string":"Department of Computer Science, Faculty of Science, Kasetsart University, Bangkok Thailand#TAB#","institution_ids":["https://openalex.org/I198105771"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035301456","display_name":"Nuanwan Soonthornphisaj","orcid":"https://orcid.org/0000-0001-7987-0911"},"institutions":[{"id":"https://openalex.org/I198105771","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21","country_code":"TH","type":"education","lineage":["https://openalex.org/I198105771"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nuanwan Soonthornphisaj","raw_affiliation_strings":["Department of Computer Science, Faculty of Science, Kasetsart University, Bangkok, Thailand","Department of Computer Science, Faculty of Science, Kasetsart University, Bangkok Thailand#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Science, Kasetsart University, Bangkok, Thailand","institution_ids":["https://openalex.org/I198105771"]},{"raw_affiliation_string":"Department of Computer Science, Faculty of Science, Kasetsart University, Bangkok Thailand#TAB#","institution_ids":["https://openalex.org/I198105771"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020823042"],"corresponding_institution_ids":["https://openalex.org/I198105771"],"apc_list":null,"apc_paid":null,"fwci":0.818,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.792208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"18","issue":"6","first_page":"1109","last_page":"1135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.986299991607666,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.9298394918441772},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.9241241812705994},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.7928131818771362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.786629855632782},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7393187284469604},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.6064419746398926},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5778883099555969},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5609498620033264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5423316955566406},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5416659712791443},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5065246820449829},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.46672382950782776},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.44838380813598633},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4114140570163727},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4100741446018219},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37041619420051575},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.10050976276397705}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.9298394918441772},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.9241241812705994},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.7928131818771362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.786629855632782},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7393187284469604},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.6064419746398926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5778883099555969},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5609498620033264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5423316955566406},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5416659712791443},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5065246820449829},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.46672382950782776},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.44838380813598633},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4114140570163727},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4100741446018219},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37041619420051575},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.10050976276397705},{"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-140687","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-140687","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322437","display_name":"National Science and Technology Development Agency","ror":"https://ror.org/04vy95b61"},{"id":"https://openalex.org/F4320322722","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21"},{"id":"https://openalex.org/F4320324279","display_name":"Ministry of Science and Technology of Thailand","ror":"https://ror.org/02nfy5246"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W45730320","https://openalex.org/W108158602","https://openalex.org/W127528661","https://openalex.org/W144837275","https://openalex.org/W152772766","https://openalex.org/W166419612","https://openalex.org/W358409636","https://openalex.org/W1483660231","https://openalex.org/W1539455868","https://openalex.org/W1555468418","https://openalex.org/W1556311489","https://openalex.org/W1563938718","https://openalex.org/W1565746575","https://openalex.org/W1570448133","https://openalex.org/W1581587400","https://openalex.org/W1582984768","https://openalex.org/W1585473864","https://openalex.org/W1588282782","https://openalex.org/W1591261915","https://openalex.org/W1865117140","https://openalex.org/W1912982817","https://openalex.org/W1941659294","https://openalex.org/W1965895350","https://openalex.org/W1968331929","https://openalex.org/W1970261191","https://openalex.org/W1974758710","https://openalex.org/W1988790447","https://openalex.org/W1997079092","https://openalex.org/W2006020859","https://openalex.org/W2007926292","https://openalex.org/W2010789233","https://openalex.org/W2011376672","https://openalex.org/W2013313366","https://openalex.org/W2015452969","https://openalex.org/W2023299139","https://openalex.org/W2024223694","https://openalex.org/W2043193014","https://openalex.org/W2055271333","https://openalex.org/W2093461052","https://openalex.org/W2096235960","https://openalex.org/W2096945460","https://openalex.org/W2100805904","https://openalex.org/W2103614420","https://openalex.org/W2106030336","https://openalex.org/W2106136950","https://openalex.org/W2108949035","https://openalex.org/W2112076978","https://openalex.org/W2113540758","https://openalex.org/W2114968414","https://openalex.org/W2124710650","https://openalex.org/W2128965734","https://openalex.org/W2131118883","https://openalex.org/W2132791018","https://openalex.org/W2135248138","https://openalex.org/W2135493362","https://openalex.org/W2136256517","https://openalex.org/W2139986471","https://openalex.org/W2140111865","https://openalex.org/W2141921295","https://openalex.org/W2143534004","https://openalex.org/W2145384715","https://openalex.org/W2148143831","https://openalex.org/W2150854651","https://openalex.org/W2153150899","https://openalex.org/W2157402278","https://openalex.org/W2165888424","https://openalex.org/W2166244185","https://openalex.org/W2171286664","https://openalex.org/W2397926752","https://openalex.org/W2912934387","https://openalex.org/W2966207845","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W4308469503","https://openalex.org/W32988189","https://openalex.org/W2904737874","https://openalex.org/W2399571531","https://openalex.org/W80466363","https://openalex.org/W4288337828","https://openalex.org/W2947132063","https://openalex.org/W4287816717","https://openalex.org/W3188632291","https://openalex.org/W2023639956"],"abstract_inverted_index":{"The":[0],"aim":[1],"of":[2],"this":[3,18],"paper":[4],"is":[5],"to":[6],"improve":[7],"the":[8,13],"classification":[9,34],"performance":[10],"based":[11,26],"on":[12,27],"multiclass":[14],"imbalanced":[15],"datasets.":[16],"In":[17],"paper,":[19],"we":[20],"introduce":[21],"a":[22],"new":[23],"resampling":[24],"approach":[25],"Clustering":[28],"with":[29],"sampling":[30],"for":[31],"Multiclass":[32],"Imbalanced":[33],"using":[35],"Ens":[36]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
