{"id":"https://openalex.org/W4211009598","doi":"https://doi.org/10.1142/s0219622022500079","title":"Sequential Clustering and Classification Approach to Analyze Sales Performance of Retail Stores Based on Point-of-Sale Data","display_name":"Sequential Clustering and Classification Approach to Analyze Sales Performance of Retail Stores Based on Point-of-Sale Data","publication_year":2022,"publication_date":"2022-02-10","ids":{"openalex":"https://openalex.org/W4211009598","doi":"https://doi.org/10.1142/s0219622022500079"},"language":"en","primary_location":{"id":"doi:10.1142/s0219622022500079","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622022500079","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology & Decision Making","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/A5020290986","display_name":"Chao-Lung Yang","orcid":"https://orcid.org/0000-0001-5585-0094"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chao-Lung Yang","raw_affiliation_strings":["Department of Industrial Management, National Taiwan University of Science and Technology, No 43, Sec 4, Keelung Rd, Daan Dist., Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Management, National Taiwan University of Science and Technology, No 43, Sec 4, Keelung Rd, Daan Dist., Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101912702","display_name":"Thi Phuong Quyen Nguyen","orcid":"https://orcid.org/0000-0002-8559-8050"},"institutions":[{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thi Phuong Quyen Nguyen","raw_affiliation_strings":["Faculty of Project Management, The University of Danang- University of Science and Technology, 54 Nguyen Luong Bang, Danang, Vietnam"],"affiliations":[{"raw_affiliation_string":"Faculty of Project Management, The University of Danang- University of Science and Technology, 54 Nguyen Luong Bang, Danang, Vietnam","institution_ids":["https://openalex.org/I3129492623"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020290986"],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":0.678,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71014353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"21","issue":"03","first_page":"885","last_page":"910"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.876611590385437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7075554728507996},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5840144753456116},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5766960978507996},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.542288601398468},{"id":"https://openalex.org/keywords/point-of-sale","display_name":"Point of sale","score":0.5352523922920227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3280947506427765},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10992521047592163}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.876611590385437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7075554728507996},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5840144753456116},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5766960978507996},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.542288601398468},{"id":"https://openalex.org/C58033187","wikidata":"https://www.wikidata.org/wiki/Q386147","display_name":"Point of sale","level":2,"score":0.5352523922920227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3280947506427765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10992521047592163},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219622022500079","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622022500079","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology & Decision Making","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:ijitdm:v:21:y:2022:i:03:n:s0219622022500079","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219622022500079","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1254992154","display_name":null,"funder_award_id":"106-2221-E-011-106-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G5804331865","display_name":null,"funder_award_id":"109-2218-E-011-010","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W564469058","https://openalex.org/W1956861943","https://openalex.org/W1964346230","https://openalex.org/W1986528992","https://openalex.org/W1991408562","https://openalex.org/W2016352379","https://openalex.org/W2033258526","https://openalex.org/W2042995932","https://openalex.org/W2064929970","https://openalex.org/W2069587649","https://openalex.org/W2070902649","https://openalex.org/W2075935227","https://openalex.org/W2077188668","https://openalex.org/W2083539786","https://openalex.org/W2096352448","https://openalex.org/W2096380349","https://openalex.org/W2112802728","https://openalex.org/W2116661285","https://openalex.org/W2126105956","https://openalex.org/W2153428294","https://openalex.org/W2160039585","https://openalex.org/W2181619128","https://openalex.org/W2278519563","https://openalex.org/W2491816151","https://openalex.org/W2780508324","https://openalex.org/W2782305878","https://openalex.org/W2782871443","https://openalex.org/W2791315675","https://openalex.org/W2892035503","https://openalex.org/W3096808766","https://openalex.org/W3109288977","https://openalex.org/W3135485754","https://openalex.org/W3139896449","https://openalex.org/W4236631531","https://openalex.org/W4237353770","https://openalex.org/W4244129836","https://openalex.org/W4244508735"],"related_works":["https://openalex.org/W2739612537","https://openalex.org/W2349174696","https://openalex.org/W2360241746","https://openalex.org/W4313041667","https://openalex.org/W2767599893","https://openalex.org/W2381572297","https://openalex.org/W3114770763","https://openalex.org/W1793033844","https://openalex.org/W2894876869","https://openalex.org/W31967605"],"abstract_inverted_index":{"Point-of-Sale":[0],"(POS)":[1],"data":[2,28,57,158],"analysis":[3,29,159],"is":[4,40,45,91],"usually":[5],"used":[6,46],"to":[7,17,31,47,96,131],"explore":[8],"sales":[9,43,117,133,144],"performance":[10,118,134],"in":[11,25,65,93],"business":[12],"commence.":[13],"This":[14],"manuscript":[15],"aims":[16],"combine":[18],"unsupervised":[19],"clustering":[20,55,79,101,109],"and":[21,102,146],"supervised":[22],"classification":[23,74,123],"methods":[24],"an":[26],"integrated":[27],"framework":[30,95],"analyze":[32],"the":[33,49,70,73,78,94,98,113,126,132,147,161],"real-world":[34],"POS":[35],"data.":[36],"Clustering":[37],"method,":[38],"which":[39,76],"performed":[41],"on":[42],"dataset,":[44],"cluster":[48],"stores":[50,121],"into":[51],"several":[52],"groups.":[53],"The":[54,104,141],"results,":[56],"labels,":[58],"are":[59],"then":[60],"combined":[61],"with":[62,160],"other":[63],"information":[64,149],"store":[66,83,148],"features":[67,84],"dataset":[68],"as":[69],"inputs":[71],"of":[72,100,116,119,138,157],"model":[75],"classifies":[77],"labels":[80],"by":[81],"using":[82],"dataset.":[85],"Non-dominated":[86],"sorting":[87],"generic":[88],"algorithm-II":[89],"(NSGA-II)":[90],"applied":[92],"employ":[97],"multi-objective":[99],"classification.":[103],"experimental":[105],"case":[106],"study":[107],"shows":[108],"results":[110],"can":[111,124,150],"reveal":[112,125],"hidden":[114],"structure":[115],"retail":[120,139],"while":[122],"major":[127],"factors":[128],"that":[129],"effect":[130],"under":[135,154],"different":[136],"group":[137],"stores.":[140],"correlations":[142],"between":[143],"clusters":[145],"be":[151],"obtained":[152],"sequentially":[153],"a":[155],"series":[156],"proposed":[162],"framework.":[163]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}