{"id":"https://openalex.org/W1526351492","doi":"https://doi.org/10.3233/ida-2012-00558","title":"Fast classification for large data sets via random selection clustering and Support Vector Machines","display_name":"Fast classification for large data sets via random selection clustering and Support Vector Machines","publication_year":2012,"publication_date":"2012-11-16","ids":{"openalex":"https://openalex.org/W1526351492","doi":"https://doi.org/10.3233/ida-2012-00558","mag":"1526351492"},"language":"en","primary_location":{"id":"doi:10.3233/ida-2012-00558","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-2012-00558","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/A5100683740","display_name":"Xiaoou Li","orcid":"https://orcid.org/0000-0003-3087-7375"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Xiaoou Li","raw_affiliation_strings":["Departamento de Computacion, Cinvestav-Ipn, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Departamento de Computacion, Cinvestav-Ipn, Mexico City, Mexico","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048103294","display_name":"Jair Cervantes","orcid":"https://orcid.org/0000-0003-2012-8151"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Jair Cervantes","raw_affiliation_strings":["Departamento de Computacion, Cinvestav-Ipn, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Departamento de Computacion, Cinvestav-Ipn, Mexico City, Mexico","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008201587","display_name":"Wen Yu","orcid":"https://orcid.org/0000-0002-9540-7924"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Wen Yu","raw_affiliation_strings":["Departamento de Control Automatico, Cinvestav-Ipn, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Departamento de Control Automatico, Cinvestav-Ipn, Mexico City, Mexico","institution_ids":["https://openalex.org/I68368234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100683740"],"corresponding_institution_ids":["https://openalex.org/I68368234"],"apc_list":null,"apc_paid":null,"fwci":1.3727,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.81762166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"6","first_page":"897","last_page":"914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9987999796867371,"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":0.9987999796867371,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.988099992275238,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7383543252944946},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.717221736907959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6137444376945496},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5942647457122803},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5373194813728333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47503167390823364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45094019174575806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4157508313655853}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7383543252944946},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.717221736907959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6137444376945496},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5942647457122803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5373194813728333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47503167390823364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45094019174575806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4157508313655853}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-2012-00558","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-2012-00558","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W168462225","https://openalex.org/W645913295","https://openalex.org/W1512098439","https://openalex.org/W1514940655","https://openalex.org/W1563088657","https://openalex.org/W1574862351","https://openalex.org/W1622263187","https://openalex.org/W1938740620","https://openalex.org/W1965059296","https://openalex.org/W1973310094","https://openalex.org/W1995064042","https://openalex.org/W1997346006","https://openalex.org/W1999902215","https://openalex.org/W2005622485","https://openalex.org/W2029494882","https://openalex.org/W2053677366","https://openalex.org/W2058324463","https://openalex.org/W2059651397","https://openalex.org/W2083603092","https://openalex.org/W2091632079","https://openalex.org/W2095885101","https://openalex.org/W2099665470","https://openalex.org/W2100038678","https://openalex.org/W2100531911","https://openalex.org/W2109790537","https://openalex.org/W2110663062","https://openalex.org/W2112612641","https://openalex.org/W2114966857","https://openalex.org/W2116283693","https://openalex.org/W2119773896","https://openalex.org/W2125283600","https://openalex.org/W2125687218","https://openalex.org/W2130992008","https://openalex.org/W2141057577","https://openalex.org/W2141676302","https://openalex.org/W2143684265","https://openalex.org/W2153233077","https://openalex.org/W2153635508","https://openalex.org/W2170756173","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W1948992892","https://openalex.org/W2104657898","https://openalex.org/W1886884218","https://openalex.org/W2804364458","https://openalex.org/W1910826599","https://openalex.org/W1980100242","https://openalex.org/W2530420969","https://openalex.org/W2051187167"],"abstract_inverted_index":{"Support":[0],"Vector":[1],"Machines":[2],"(SVMs)":[3],"are":[4,11],"high-accuracy":[5],"classifiers.":[6],"However,":[7],"normal":[8],"SVM":[9,31],"algorithms":[10],"unsuitable":[12],"for":[13,34],"classification":[14,32],"of":[15,20],"large":[16],"data":[17],"sets":[18],"because":[19],"their":[21],"training":[22],"complexity.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27],"propose":[28],"a":[29],"novel":[30],"approach":[33]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
