{"id":"https://openalex.org/W4294811458","doi":"https://doi.org/10.1109/access.2022.3204760","title":"Unsupervised Outlier Detection Mechanism for Tea Traceability Data","display_name":"Unsupervised Outlier Detection Mechanism for Tea Traceability Data","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4294811458","doi":"https://doi.org/10.1109/access.2022.3204760"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3204760","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3204760","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09878343.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09878343.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076227674","display_name":"Honggang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Honggang Yang","raw_affiliation_strings":["School of Information and Computer Science, Anhui Agricultural University, Hefei, China","School of Information and Computer Science, Anhui Agricultural University, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Computer Science, Anhui Agricultural University, Hefei, China","institution_ids":["https://openalex.org/I140221134"]},{"raw_affiliation_string":"School of Information and Computer Science, Anhui Agricultural University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066155183","display_name":"Shaowen Li","orcid":"https://orcid.org/0000-0001-7599-8360"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaowen Li","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Smart Agricultural Technology and Equipment, Hefei, China","Anhui Provincial Key Laboratory of Smart Agricultural Technology and Equipment, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0001-7599-8360","affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Smart Agricultural Technology and Equipment, Hefei, China","institution_ids":["https://openalex.org/I140221134"]},{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Smart Agricultural Technology and Equipment, Hefei, Anhui, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015891747","display_name":"Lijing Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijing Tu","raw_affiliation_strings":["School of Information and Computer Science, Anhui Agricultural University, Hefei, China","School of Information and Computer Science, Anhui Agricultural University, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Computer Science, Anhui Agricultural University, Hefei, China","institution_ids":["https://openalex.org/I140221134"]},{"raw_affiliation_string":"School of Information and Computer Science, Anhui Agricultural University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103450496","display_name":"Rongrong Ma","orcid":"https://orcid.org/0009-0002-8380-8170"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongrong Ma","raw_affiliation_strings":["School of Information and Computer Science, Anhui Agricultural University, Hefei, China","School of Information and Computer Science, Anhui Agricultural University, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Computer Science, Anhui Agricultural University, Hefei, China","institution_ids":["https://openalex.org/I140221134"]},{"raw_affiliation_string":"School of Information and Computer Science, Anhui Agricultural University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100430560","display_name":"Yin Chen","orcid":"https://orcid.org/0000-0002-3351-5065"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Chen","raw_affiliation_strings":["School of Information and Computer Science, Anhui Agricultural University, Hefei, China","School of Information and Computer Science, Anhui Agricultural University, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Computer Science, Anhui Agricultural University, Hefei, China","institution_ids":["https://openalex.org/I140221134"]},{"raw_affiliation_string":"School of Information and Computer Science, Anhui Agricultural University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I140221134"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076227674"],"corresponding_institution_ids":["https://openalex.org/I140221134"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9714,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79815709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"94818","last_page":"94831"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.807389497756958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7721860408782959},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7433964014053345},{"id":"https://openalex.org/keywords/traceability","display_name":"Traceability","score":0.7080950736999512},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.6664787530899048},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6255475282669067},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6169471144676208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47804027795791626},{"id":"https://openalex.org/keywords/local-outlier-factor","display_name":"Local outlier factor","score":0.47694650292396545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4126995801925659},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.18279588222503662},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.1316223442554474}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.807389497756958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7721860408782959},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7433964014053345},{"id":"https://openalex.org/C153876917","wikidata":"https://www.wikidata.org/wiki/Q899704","display_name":"Traceability","level":2,"score":0.7080950736999512},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.6664787530899048},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6255475282669067},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6169471144676208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47804027795791626},{"id":"https://openalex.org/C169029474","wikidata":"https://www.wikidata.org/wiki/Q387942","display_name":"Local outlier factor","level":3,"score":0.47694650292396545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4126995801925659},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.18279588222503662},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.1316223442554474},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3204760","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3204760","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09878343.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:554df03b11cc45b0820f13bb9f482053","is_oa":true,"landing_page_url":"https://doaj.org/article/554df03b11cc45b0820f13bb9f482053","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 94818-94831 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3204760","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3204760","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09878343.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4294811458.pdf","grobid_xml":"https://content.openalex.org/works/W4294811458.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1548161163","https://openalex.org/W1986332411","https://openalex.org/W1995443851","https://openalex.org/W2019014808","https://openalex.org/W2051744261","https://openalex.org/W2061243822","https://openalex.org/W2123880622","https://openalex.org/W2370198784","https://openalex.org/W2614957088","https://openalex.org/W2798089113","https://openalex.org/W2974112764","https://openalex.org/W2997377600","https://openalex.org/W3002146114","https://openalex.org/W3006480895","https://openalex.org/W3009613264","https://openalex.org/W3013075373","https://openalex.org/W3015088739","https://openalex.org/W3024017681","https://openalex.org/W3090879274","https://openalex.org/W3120952719","https://openalex.org/W3126284104","https://openalex.org/W3127652646","https://openalex.org/W3129161690","https://openalex.org/W3131152125","https://openalex.org/W3135534956","https://openalex.org/W3155322940","https://openalex.org/W3157818903","https://openalex.org/W3158356984","https://openalex.org/W3158460633","https://openalex.org/W3165463321","https://openalex.org/W3166328096","https://openalex.org/W3167938468","https://openalex.org/W3168229439","https://openalex.org/W3169667233","https://openalex.org/W3171573673","https://openalex.org/W3180609604","https://openalex.org/W3185486533","https://openalex.org/W3197003110","https://openalex.org/W4223971800","https://openalex.org/W4226060502","https://openalex.org/W4254182148","https://openalex.org/W4282980030","https://openalex.org/W4286870569","https://openalex.org/W6773808317"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W2770832849","https://openalex.org/W3111802945","https://openalex.org/W205872183","https://openalex.org/W114119537","https://openalex.org/W4240627425","https://openalex.org/W2761705761","https://openalex.org/W2904893831","https://openalex.org/W4377236448","https://openalex.org/W2946096271"],"abstract_inverted_index":{"The":[0],"presence":[1],"of":[2,21,94,104,122,134,211],"outliers":[3,127,189],"in":[4,137,190],"tea":[5,22,34,40,95,156,191,203,212],"traceability":[6,35,41,96,192,204,213],"data":[7,36,42,52,205],"can":[8,168,185,206],"mislead":[9],"customers":[10],"and":[11,19,49,82,147,179],"have":[12],"a":[13,100],"significant":[14],"impact":[15],"on":[16,59,74,159],"the":[17,46,51,70,120,125,132,135,145,148,155,164,171,177,181,188,197,209],"reputation":[18],"profits":[20],"companies.":[23,157],"To":[24],"solve":[25],"this":[26],"problem,":[27],"an":[28],"unsupervised":[29,91,112,172,198],"outlier":[30,92,113,173,199],"detection":[31,93,114,174,200],"mechanism":[32,201],"for":[33,111,202],"is":[37,43,53,87,116],"proposed.":[38],"Firstly,":[39],"uploaded":[44],"to":[45,55,65,89,130,139,143,154],"MySQL":[47],"database,":[48],"then":[50],"preprocessed":[54],"aggregate":[56],"features":[57],"based":[58,73],"relevance,":[60],"which":[61],"makes":[62],"it":[63],"easier":[64],"identify":[66,187],"abnormal":[67],"features.":[68],"Secondly,":[69],"LOKI":[71],"algorithm":[72,175,184],"Local":[75],"Outlier":[76],"Factor":[77],"(LOF),":[78],"Isolation":[79],"Forest":[80],"(IForest),":[81],"K-Nearest":[83],"Neighbors":[84],"(KNN)":[85],"algorithms":[86,115],"used":[88],"achieve":[90],"data.":[97,193,214],"In":[98],"addition,":[99],"Density-Based":[101],"Spatial":[102],"Clustering":[103],"Applications":[105],"with":[106],"Noise":[107],"(DBSCAN-based)":[108],"tuning":[109,166],"method":[110,167],"also":[117],"provided.":[118],"Finally,":[119],"types":[121],"anomalies":[123,136],"among":[124],"identified":[126,129],"are":[128,151],"investigate":[131],"causes":[133],"order":[138],"develop":[140],"remedial":[141],"procedures":[142],"eliminate":[144],"anomalies,":[146],"analysis":[149],"results":[150],"fed":[152],"back":[153],"Experiments":[158],"real":[160],"datasets":[161],"show":[162],"that":[163,180,196],"DBSCAN-based":[165],"effectively":[169,186,207],"help":[170],"optimize":[176],"parameters,":[178],"LOF-KNN-IForest":[182],"(LOKI)":[183],"This":[194],"proves":[195],"guarantee":[208],"quality":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-05-20T08:49:12.498775","created_date":"2025-10-10T00:00:00"}
