{"id":"https://openalex.org/W4242424362","doi":"https://doi.org/10.23919/icact.2018.8323674","title":"A classification approach with different feature sets to predict the quality of different types of wine using machine learning techniques","display_name":"A classification approach with different feature sets to predict the quality of different types of wine using machine learning techniques","publication_year":2018,"publication_date":"2018-02-01","ids":{"openalex":"https://openalex.org/W4242424362","doi":"https://doi.org/10.23919/icact.2018.8323674"},"language":"en","primary_location":{"id":"doi:10.23919/icact.2018.8323674","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact.2018.8323674","pdf_url":null,"source":{"id":"https://openalex.org/S4363608106","display_name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","raw_type":"proceedings-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/A5042941412","display_name":"Satyabrata Aich","orcid":"https://orcid.org/0000-0003-4034-5882"},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Satyabrata Aich","raw_affiliation_strings":["Department of Computer Engineering, Inje University, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Inje University, South Korea","institution_ids":["https://openalex.org/I104338594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074894055","display_name":"Ahmed Abdulhakim Al-Absi","orcid":"https://orcid.org/0000-0001-6272-7756"},"institutions":[{"id":"https://openalex.org/I4210123477","display_name":"Kyungdong University","ror":"https://ror.org/02qedp211","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210123477"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ahmed Abdulhakim Al-Absi","raw_affiliation_strings":["Department of Computer Engineering, Kyungdong University-Global Campus, Gangwondo, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Kyungdong University-Global Campus, Gangwondo, South Korea","institution_ids":["https://openalex.org/I4210123477"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073706357","display_name":"Kueh Lee Hui","orcid":"https://orcid.org/0009-0006-3587-130X"},"institutions":[{"id":"https://openalex.org/I51226738","display_name":"Dong-A University","ror":"https://ror.org/03qvtpc38","country_code":"KR","type":"education","lineage":["https://openalex.org/I51226738"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kueh Lee Hui","raw_affiliation_strings":["Dept. of Electrical Engineering, Dong-A University, South Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Dong-A University, South Korea","institution_ids":["https://openalex.org/I51226738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059484387","display_name":"John Tark Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I51226738","display_name":"Dong-A University","ror":"https://ror.org/03qvtpc38","country_code":"KR","type":"education","lineage":["https://openalex.org/I51226738"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"John Tark Lee","raw_affiliation_strings":["Dept. of Electrical Engineering, Dong-A University, South Korea"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Dong-A University, South Korea","institution_ids":["https://openalex.org/I51226738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023601908","display_name":"Mangal Sain","orcid":"https://orcid.org/0000-0001-7298-7930"},"institutions":[{"id":"https://openalex.org/I102786147","display_name":"Dongseo University","ror":"https://ror.org/00wygsf57","country_code":"KR","type":"education","lineage":["https://openalex.org/I102786147"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Mangal Sain","raw_affiliation_strings":["Departrnent of Computer Engineering, Dongseo University, South Korea"],"affiliations":[{"raw_affiliation_string":"Departrnent of Computer Engineering, Dongseo University, South Korea","institution_ids":["https://openalex.org/I102786147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042941412"],"corresponding_institution_ids":["https://openalex.org/I104338594"],"apc_list":null,"apc_paid":null,"fwci":5.8112,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.97007874,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10750","display_name":"Fermentation and Sensory Analysis","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10750","display_name":"Fermentation and Sensory Analysis","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11796","display_name":"Horticultural and Viticultural Research","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.735785186290741},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7215341925621033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6915736198425293},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6874470114707947},{"id":"https://openalex.org/keywords/wine","display_name":"Wine","score":0.6734368801116943},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5818041563034058},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5753671526908875},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5398733615875244},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5389298796653748},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5384340882301331},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4682026505470276},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4458007216453552},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.41560375690460205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.329058974981308}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.735785186290741},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7215341925621033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6915736198425293},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6874470114707947},{"id":"https://openalex.org/C55952523","wikidata":"https://www.wikidata.org/wiki/Q3014419","display_name":"Wine","level":2,"score":0.6734368801116943},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5818041563034058},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5753671526908875},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5398733615875244},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5389298796653748},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5384340882301331},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4682026505470276},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4458007216453552},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.41560375690460205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.329058974981308},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icact.2018.8323674","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact.2018.8323674","pdf_url":null,"source":{"id":"https://openalex.org/S4363608106","display_name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W204924188","https://openalex.org/W1205329048","https://openalex.org/W1915331089","https://openalex.org/W2002353621","https://openalex.org/W2029252861","https://openalex.org/W2051275465","https://openalex.org/W2063689928","https://openalex.org/W2063942697","https://openalex.org/W2092829070","https://openalex.org/W2103459159","https://openalex.org/W2181807843","https://openalex.org/W2242491276","https://openalex.org/W2274158210","https://openalex.org/W2316007417","https://openalex.org/W2622382573","https://openalex.org/W2911964244","https://openalex.org/W4232855474","https://openalex.org/W6608247228","https://openalex.org/W6627921463","https://openalex.org/W6686291944"],"related_works":["https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4321636153","https://openalex.org/W4313289487"],"abstract_inverted_index":{"In":[0,86,129,174],"the":[1,6,18,27,43,46,51,56,64,79,83,87,103,118,130,150,154,163,215,238,243,250],"past":[2,131],"few":[3,89,132],"years,":[4],"with":[5,82,157,226],"availability":[7],"of":[8,10,58,96,102,117,126,153,165,168],"lot":[9,95],"wine":[11,24,136,169,239],"brands":[12],"it":[13,73,123],"is":[14,74],"difficult":[15],"to":[16,54,78,109,121,135,161,224,241,246],"identify":[17],"good":[19,251],"quality":[20,23,57,164,252],"wines.":[21],"Good":[22],"depends":[25],"on":[26,50,63],"so":[28,145],"many":[29],"important":[30,244],"factors":[31,245],"such":[32,189],"as":[33,36,38,70,72,190,195,197],"chemical,":[34],"scientific":[35],"well":[37,71,196],"technical":[39],"factors.":[40,173],"However":[41],"in":[42,98,124],"previous":[44],"study":[45,53,66,81],"researchers":[47],"always":[48],"focus":[49],"subjective":[52,65],"define":[55],"wine.":[59,253],"The":[60],"result":[61,113],"based":[62,211],"takes":[67],"much":[68],"time":[69],"not":[75],"effective":[76],"compared":[77,149],"objective":[80],"analytical":[84],"methods.":[85],"last":[88],"year's":[90],"machine":[91],"learning":[92,105],"techniques":[93,106],"caught":[94],"attention":[97],"every":[99],"field.":[100],"Most":[101],"machines":[104],"are":[107],"able":[108],"produce":[110],"highly":[111],"accurate":[112],"that":[114],"compels":[115],"most":[116],"data":[119,137],"scientist":[120],"implement":[122],"case":[125],"predictive":[127],"analytics.":[128],"works":[133],"related":[134],"has":[138,148,180],"been":[139,181],"studied":[140],"using":[141,230],"different":[142,155,158,166,185,227],"classifiers,":[143],"however":[144],"far":[146],"nobody":[147],"performance":[151,216],"metrics":[152],"classifiers":[156,212],"feature":[159,186,205,228],"sets":[160,229],"predict":[162],"type":[167],"by":[170,183],"considering":[171,184],"several":[172],"this":[175],"paper":[176],"a":[177],"new":[178],"approach":[179,201,203],"proposed":[182],"selection":[187,206],"algorithm":[188],"Principal":[191],"Component":[192],"Analysis":[193],"(PCA)":[194],"Recursive":[198],"Feature":[199],"Elimination":[200],"(RFE)":[202],"for":[204,213],"and":[207],"nonlinear":[208],"decision":[209],"tree":[210],"analyzing":[214],"metrics.":[217],"We":[218],"found":[219],"accuracies":[220],"ranging":[221],"from":[222],"94.51%":[223],"97.79%":[225],"Random":[231],"Forest":[232],"classifier.":[233],"This":[234],"analysis":[235],"will":[236],"help":[237],"experts":[240],"know":[242],"consider":[247],"while":[248],"selecting":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
