{"id":"https://openalex.org/W2985614340","doi":"https://doi.org/10.1017/s0890060419000258","title":"Intelligent product-gene acquisition method based on <i>K</i>-means clustering and mutual information-based feature selection algorithm","display_name":"Intelligent product-gene acquisition method based on <i>K</i>-means clustering and mutual information-based feature selection algorithm","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2985614340","doi":"https://doi.org/10.1017/s0890060419000258","mag":"2985614340"},"language":"en","primary_location":{"id":"doi:10.1017/s0890060419000258","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060419000258","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","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/A5012240754","display_name":"Pan Li","orcid":"https://orcid.org/0000-0003-1827-4539"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Li","raw_affiliation_strings":["School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1827-4539","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110692342","display_name":"Yanzhao Ren","orcid":"https://orcid.org/0000-0002-2148-6615"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanzhao Ren","raw_affiliation_strings":["College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395033","display_name":"Yan Yan","orcid":"https://orcid.org/0000-0001-8555-0156"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yan","raw_affiliation_strings":["School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101457292","display_name":"Guoxin Wang","orcid":"https://orcid.org/0000-0003-2363-8595"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoxin Wang","raw_affiliation_strings":["School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101457292"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.4446,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.62798997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"33","issue":"4","first_page":"469","last_page":"483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10672","display_name":"Design Education and Practice","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10672","display_name":"Design Education and Practice","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.992900013923645,"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/T11729","display_name":"Product Development and Customization","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7031799554824829},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5754959583282471},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5620816349983215},{"id":"https://openalex.org/keywords/knowledge-acquisition","display_name":"Knowledge acquisition","score":0.5434743165969849},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5384113788604736},{"id":"https://openalex.org/keywords/product-design","display_name":"Product design","score":0.5098373293876648},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4993131160736084},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47060829401016235},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4383949339389801},{"id":"https://openalex.org/keywords/conceptual-design","display_name":"Conceptual design","score":0.41181665658950806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.268778532743454},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.11410245299339294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10454627871513367}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7031799554824829},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5754959583282471},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5620816349983215},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.5434743165969849},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5384113788604736},{"id":"https://openalex.org/C120823896","wikidata":"https://www.wikidata.org/wiki/Q1043226","display_name":"Product design","level":3,"score":0.5098373293876648},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4993131160736084},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47060829401016235},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4383949339389801},{"id":"https://openalex.org/C120208923","wikidata":"https://www.wikidata.org/wiki/Q5158435","display_name":"Conceptual design","level":2,"score":0.41181665658950806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.268778532743454},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.11410245299339294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10454627871513367},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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":1,"locations":[{"id":"doi:10.1017/s0890060419000258","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060419000258","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W845100301","https://openalex.org/W1246422849","https://openalex.org/W1532325895","https://openalex.org/W1889288034","https://openalex.org/W1901616594","https://openalex.org/W1964024933","https://openalex.org/W1964042173","https://openalex.org/W1965058542","https://openalex.org/W1975094942","https://openalex.org/W1981897672","https://openalex.org/W1986171286","https://openalex.org/W2003509249","https://openalex.org/W2006915611","https://openalex.org/W2009407598","https://openalex.org/W2010570343","https://openalex.org/W2017337590","https://openalex.org/W2022858091","https://openalex.org/W2023674625","https://openalex.org/W2033889706","https://openalex.org/W2044927436","https://openalex.org/W2044970816","https://openalex.org/W2053827385","https://openalex.org/W2059091201","https://openalex.org/W2067123255","https://openalex.org/W2076326095","https://openalex.org/W2077073413","https://openalex.org/W2085483902","https://openalex.org/W2088394912","https://openalex.org/W2088490283","https://openalex.org/W2089154017","https://openalex.org/W2090768754","https://openalex.org/W2096336486","https://openalex.org/W2108924389","https://openalex.org/W2114771311","https://openalex.org/W2122410182","https://openalex.org/W2127218421","https://openalex.org/W2131651107","https://openalex.org/W2133842908","https://openalex.org/W2135102480","https://openalex.org/W2137665890","https://openalex.org/W2149772057","https://openalex.org/W2150933041","https://openalex.org/W2151040995","https://openalex.org/W2151587352","https://openalex.org/W2153227355","https://openalex.org/W2154053567","https://openalex.org/W2155236943","https://openalex.org/W2158122810","https://openalex.org/W2161506385","https://openalex.org/W2165835468","https://openalex.org/W2167101736","https://openalex.org/W2167436013","https://openalex.org/W2173312389","https://openalex.org/W2259905042","https://openalex.org/W2293283613","https://openalex.org/W2297788108","https://openalex.org/W2301283861","https://openalex.org/W2322990480","https://openalex.org/W2360759129","https://openalex.org/W2370146013","https://openalex.org/W2372432853","https://openalex.org/W2486385961","https://openalex.org/W2527878402","https://openalex.org/W2588683570","https://openalex.org/W2623293810","https://openalex.org/W2743086754","https://openalex.org/W2998216295","https://openalex.org/W3146387425","https://openalex.org/W4235147021","https://openalex.org/W4285719527","https://openalex.org/W6656033341","https://openalex.org/W6669399007","https://openalex.org/W6680753811","https://openalex.org/W6692465121","https://openalex.org/W6733956028","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W2090259340","https://openalex.org/W4310225030","https://openalex.org/W2083665254","https://openalex.org/W2393816671","https://openalex.org/W1534720161","https://openalex.org/W2804957450","https://openalex.org/W2069285411"],"abstract_inverted_index":{"Abstract":[0],"Conceptual":[1],"design":[2,9,41,71,96,192,253],"is":[3,21,46,66,73,88,100,165,214],"a":[4,231],"key":[5,178],"stage":[6,20],"of":[7,55,85,93,105,118,128,147,185,227],"product":[8,171,179,187,228,247],"and":[10,28,34,52,63,81,103,132,159,188,208],"has":[11],"received":[12],"increasing":[13],"attention":[14],"in":[15,114,167,174],"recent":[16],"years.":[17],"However,":[18],"this":[19,115,168,175],"characterized":[22],"by":[23,124],"limited":[24,62,135,207],"information,":[25],"large":[26],"uncertainty,":[27],"multidisciplinary":[29],"aspects.":[30],"Thus,":[31,194],"increased":[32],"workload":[33],"time":[35],"cost":[36],"are":[37,110,122,134,177,200],"associated":[38],"with":[39,90],"conceptual":[40,95,191],"information":[42,65,180],"acquisition;":[43],"sometimes,":[44],"it":[45],"difficult":[47,67],"to":[48,60,68,77,198,230,241],"develop":[49,78],"novel":[50,79],"solutions":[51,57,80,195],"the":[53,56,83,91,94,101,119,125,129,143,183,186,190,220,235,245],"feasibility":[54],"obtained":[58,196],"according":[59,197],"these":[61],"uncertain":[64,209],"guarantee.":[69],"Genetics-based":[70],"(GBD)":[72],"an":[74,150],"effective":[75],"approach":[76],"improve":[82],"reuse":[84],"knowledge,":[86],"which":[87],"consistent":[89],"goal":[92],"process.":[97,193],"Product-gene":[98],"acquisition":[99,130,152,226],"premise":[102],"basis":[104],"GBD.":[106],"At":[107],"present,":[108],"there":[109,133],"few":[111],"reported":[112],"studies":[113,136],"area;":[116],"most":[117],"existing":[120],"works":[121],"constrained":[123],"structural":[126],"aspects":[127],"process,":[131],"on":[137,155,206],"specific":[138,144],"implementation":[139,145],"techniques.":[140],"To":[141],"explore":[142],"technologies":[146],"product-gene":[148],"acquisition,":[149],"intelligent":[151,225],"method":[153,222,237],"based":[154,205],"K":[156],"-means":[157],"clustering":[158],"mutual":[160],"information-based":[161],"feature":[162],"selection":[163],"algorithm":[164],"proposed":[166,221,236],"paper.":[169],"The":[170,216],"genes":[172,229,248],"defined":[173],"paper":[176],"that":[181,204,219],"determines":[182],"nature":[184],"influences":[189],"them":[199],"more":[201],"feasible":[202],"than":[203],"information.":[210],"An":[211],"illustrative":[212],"example":[213],"presented.":[215],"results":[217],"show":[218],"can":[223],"achieve":[224],"certain":[232],"extent.":[233],"Further,":[234],"will":[238],"allow":[239],"designers":[240],"quickly":[242],"search":[243],"for":[244],"corresponding":[246],"when":[249],"performing":[250],"similar":[251],"functional":[252],"tasks.":[254]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-01-15T23:16:33.117629","created_date":"2025-10-10T00:00:00"}