{"id":"https://openalex.org/W7119474658","doi":"https://doi.org/10.1504/ijdmmm.2025.150988","title":"Knowledge discovery for anthropometric measures using data mining techniques","display_name":"Knowledge discovery for anthropometric measures using data mining techniques","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7119474658","doi":"https://doi.org/10.1504/ijdmmm.2025.150988"},"language":"en","primary_location":{"id":"doi:10.1504/ijdmmm.2025.150988","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijdmmm.2025.150988","pdf_url":null,"source":{"id":"https://openalex.org/S42848612","display_name":"International Journal of Data Mining Modelling and Management","issn_l":"1759-1163","issn":["1759-1163","1759-1171"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Mining, Modelling and Management","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/A5032441495","display_name":"Ali Chegini","orcid":"https://orcid.org/0000-0002-1448-3555"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Chegini","raw_affiliation_strings":["Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023578901","display_name":"Alireza Dehghan","orcid":"https://orcid.org/0000-0003-2284-2682"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Alireza Dehghan","raw_affiliation_strings":["Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079534336","display_name":"Rouzbeh Ghousi","orcid":"https://orcid.org/0000-0002-5839-5792"},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Rouzbeh Ghousi","raw_affiliation_strings":["Department of Industrial Engineering, Iran University of Science and Technology, Narmak, Tehran, 16844, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Iran University of Science and Technology, Narmak, Tehran, 16844, Iran","institution_ids":["https://openalex.org/I67009956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69443524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"4","first_page":"406","last_page":"432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.29159998893737793,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.29159998893737793,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12279","display_name":"Body Composition Measurement Techniques","score":0.14259999990463257,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.03920000046491623,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/anthropometry","display_name":"Anthropometry","score":0.6930000185966492},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5956000089645386},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5519999861717224},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5138000249862671},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4747999906539917},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.37380000948905945},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.32690000534057617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7476999759674072},{"id":"https://openalex.org/C61427482","wikidata":"https://www.wikidata.org/wiki/Q6656244","display_name":"Anthropometry","level":2,"score":0.6930000185966492},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6389999985694885},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5956000089645386},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5519999861717224},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5138000249862671},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4747999906539917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4171000123023987},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4077000021934509},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.37380000948905945},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3531999886035919},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C2780221984","wikidata":"https://www.wikidata.org/wiki/Q131191","display_name":"Body mass index","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C111442797","wikidata":"https://www.wikidata.org/wiki/Q7291446","display_name":"Rand index","level":3,"score":0.2531999945640564},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijdmmm.2025.150988","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijdmmm.2025.150988","pdf_url":null,"source":{"id":"https://openalex.org/S42848612","display_name":"International Journal of Data Mining Modelling and Management","issn_l":"1759-1163","issn":["1759-1163","1759-1171"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Mining, Modelling and Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.462249755859375,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,23,44,105,128],"article":[1],"presents":[2],"a":[3],"novel":[4],"application":[5],"for":[6,57],"data":[7,25,54,61],"mining":[8,62,95],"techniques":[9,83],"on":[10],"anthropometric":[11,24,42,58,111],"measures":[12],"to":[13,50,69,78,88,96],"uncover":[14,97],"hidden":[15],"relationships":[16],"and":[17,40,75,85,92,102,115,134,138],"associations":[18],"between":[19,99,110],"different":[20],"body":[21,36,100],"measurements.":[22,59],"consists":[26],"of":[27],"111":[28],"samples":[29],"with":[30,113],"15":[31],"features":[32],"including":[33,66],"basic":[34],"demographics,":[35],"mass":[37],"index":[38],"(BMI),":[39],"ten":[41],"measures.":[43],"research":[45],"utilises":[46],"the":[47,80,125],"CRISP-DM":[48],"methodology":[49],"form":[51],"an":[52],"applicable":[53],"analytics":[55],"framework":[56],"Various":[60],"methods":[63],"were":[64],"applied":[65],"regression":[67],"analysis":[68],"predict":[70],"stature,":[71],"clustering":[72],"algorithms":[73],"(K-means":[74],"hierarchical":[76],"clustering)":[77],"segment":[79],"data,":[81],"classification":[82],"(SVM":[84],"decision":[86],"trees)":[87],"categorise":[89],"BMI":[90,103],"status,":[91],"association":[93],"rules":[94],"patterns":[98],"dimensions":[101,112],"category.":[104],"results":[106],"demonstrated":[107],"strong":[108],"correlations":[109],"stature":[114],"weight;":[116],"three":[117],"distinct":[118],"physical":[119],"trait":[120],"profiles":[121],"clusters":[122],"emerging":[123],"from":[124],"K-means":[126],"algorithm.":[127],"findings":[129],"can":[130],"facilitate":[131],"ergonomic":[132],"design":[133],"promote":[135],"health":[136],"assessments,":[137],"personalised":[139],"interventions.":[140]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-09T00:00:00"}
