{"id":"https://openalex.org/W3213038890","doi":"https://doi.org/10.1145/3480433.3480443","title":"Construction of Wine Quality Prediction Model based on Machine Learning Algorithm","display_name":"Construction of Wine Quality Prediction Model based on Machine Learning Algorithm","publication_year":2021,"publication_date":"2021-07-23","ids":{"openalex":"https://openalex.org/W3213038890","doi":"https://doi.org/10.1145/3480433.3480443","mag":"3213038890"},"language":"en","primary_location":{"id":"doi:10.1145/3480433.3480443","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3480433.3480443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Artificial Intelligence and Virtual Reality (AIVR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5017595443","display_name":"Haoyu Zhang","orcid":"https://orcid.org/0000-0003-3348-7444"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Zhang","raw_affiliation_strings":["Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008074674","display_name":"Zhile Wang","orcid":"https://orcid.org/0000-0002-5468-1169"},"institutions":[{"id":"https://openalex.org/I4210126646","display_name":"Vanke (China)","ror":"https://ror.org/0329dzd04","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126646"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhile Wang","raw_affiliation_strings":["Vanke Mesha Academy, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanke Mesha Academy, China","institution_ids":["https://openalex.org/I4210126646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101133673","display_name":"Jiawei He","orcid":"https://orcid.org/0009-0006-0412-9284"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei He","raw_affiliation_strings":["Shenzhen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066083069","display_name":"Jijiao Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jijiao Tong","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13535","display_name":"Wireless Sensor Networks and IoT","score":0.3709999918937683,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13535","display_name":"Wireless Sensor Networks and IoT","score":0.3709999918937683,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14139","display_name":"E-commerce and Technology Innovations","score":0.35510000586509705,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.3343999981880188,"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/random-forest","display_name":"Random forest","score":0.8535007834434509},{"id":"https://openalex.org/keywords/cart","display_name":"Cart","score":0.7904720306396484},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.75750732421875},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7152997255325317},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6875132322311401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6747068166732788},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6732850074768066},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.6162628531455994},{"id":"https://openalex.org/keywords/wine","display_name":"Wine","score":0.5820171236991882},{"id":"https://openalex.org/keywords/logistic-model-tree","display_name":"Logistic model tree","score":0.550532341003418},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4943716526031494},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48346787691116333},{"id":"https://openalex.org/keywords/random-tree","display_name":"Random tree","score":0.4807717204093933},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.4786444902420044},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.47281184792518616},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.4706399142742157},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.468310683965683},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4659505784511566},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4545135498046875},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4537111520767212},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34454014897346497},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.32590699195861816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17928162217140198}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8535007834434509},{"id":"https://openalex.org/C2777275308","wikidata":"https://www.wikidata.org/wiki/Q234668","display_name":"Cart","level":2,"score":0.7904720306396484},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75750732421875},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7152997255325317},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6875132322311401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6747068166732788},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6732850074768066},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.6162628531455994},{"id":"https://openalex.org/C55952523","wikidata":"https://www.wikidata.org/wiki/Q3014419","display_name":"Wine","level":2,"score":0.5820171236991882},{"id":"https://openalex.org/C61722155","wikidata":"https://www.wikidata.org/wiki/Q6667643","display_name":"Logistic model tree","level":3,"score":0.550532341003418},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4943716526031494},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48346787691116333},{"id":"https://openalex.org/C2776839635","wikidata":"https://www.wikidata.org/wiki/Q14942679","display_name":"Random tree","level":4,"score":0.4807717204093933},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.4786444902420044},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.47281184792518616},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.4706399142742157},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.468310683965683},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4659505784511566},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4545135498046875},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4537111520767212},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34454014897346497},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.32590699195861816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17928162217140198},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3480433.3480443","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3480433.3480443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Artificial Intelligence and Virtual Reality (AIVR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2028722260","https://openalex.org/W4237781669","https://openalex.org/W4238891373"],"related_works":["https://openalex.org/W2338994166","https://openalex.org/W4225160365","https://openalex.org/W2964553505","https://openalex.org/W4318606143","https://openalex.org/W4367335967","https://openalex.org/W2280390767","https://openalex.org/W3204879874","https://openalex.org/W4246559028","https://openalex.org/W2591672004","https://openalex.org/W4285816185"],"abstract_inverted_index":{"In":[0,98],"the":[1,24,37,93,110],"study,":[2],"our":[3],"group":[4],"choose":[5],"a":[6,18,66,106],"set":[7],"of":[8,10,39,95,112],"quality":[9,25,38],"red":[11,40],"wine":[12,41],"as":[13],"data":[14],"set.":[15],"To":[16],"get":[17,65],"more":[19],"accurate":[20],"result,":[21],"we":[22,30,82],"turn":[23],"into":[26],"binary":[27,70],"classification.":[28],"And":[29],"try":[31,83],"to":[32,35,84,108],"build":[33],"models":[34],"predict":[36],"based":[42],"on":[43],"machine":[44],"learning":[45],"algorithms,":[46],"including":[47],"Decision":[48],"Tree,":[49],"Boosting,":[50],"Classification":[51],"and":[52,55,61,76,91],"regression":[53],"tree":[54,71],"Random":[56,62,89],"Forest.":[57],"Among":[58],"them,":[59],"CART":[60,75],"Forest":[63,90],"both":[64],"high":[67],"accuracy.":[68],"A":[69],"is":[72,79,105],"built":[73],"with":[74,88],"feature":[77],"importance":[78],"analyzed.":[80],"Meanwhile,":[81],"combine":[85],"logistic":[86],"algorithm":[87],"compare":[92],"accuracy":[94,111],"different":[96],"models.":[97,114],"this":[99],"way,":[100],"it's":[101],"found":[102],"that":[103],"there":[104],"way":[107],"improve":[109],"these":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
