{"id":"https://openalex.org/W4399117126","doi":"https://doi.org/10.1145/3659211.3659337","title":"Calculation and Analysis of Supermarket Data Based on the Optimization Mathematical Model","display_name":"Calculation and Analysis of Supermarket Data Based on the Optimization Mathematical Model","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4399117126","doi":"https://doi.org/10.1145/3659211.3659337"},"language":"en","primary_location":{"id":"doi:10.1145/3659211.3659337","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3659211.3659337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management","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/A5098922040","display_name":"Yulin Hou","orcid":"https://orcid.org/0009-0002-0975-6157"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yulin Hou","raw_affiliation_strings":["Harbin University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0002-0975-6157","affiliations":[{"raw_affiliation_string":"Harbin University of Science and Technology, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098922041","display_name":"Hanyu Du","orcid":null},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyu Du","raw_affiliation_strings":["Harbin University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0007-9304-2910","affiliations":[{"raw_affiliation_string":"Harbin University of Science and Technology, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5098922042","display_name":"Wenzhe Jin","orcid":"https://orcid.org/0009-0005-0548-9639"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhe Jin","raw_affiliation_strings":["Harbin University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0005-0548-9639","affiliations":[{"raw_affiliation_string":"Harbin University of Science and Technology, China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5098922040"],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.50437361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"731","last_page":"735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.24060000479221344,"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"}},"topics":[{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.24060000479221344,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6478545665740967},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.5561102628707886},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5490713715553284},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5360707640647888},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5087922215461731},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.5071024894714355},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.46993833780288696},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.4503740072250366},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.43342119455337524},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.41380977630615234},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39084428548812866},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2272326648235321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17915356159210205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6478545665740967},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.5561102628707886},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5490713715553284},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5360707640647888},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5087922215461731},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.5071024894714355},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.46993833780288696},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.4503740072250366},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.43342119455337524},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.41380977630615234},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39084428548812866},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2272326648235321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17915356159210205},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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:10.1145/3659211.3659337","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3659211.3659337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2524345910","https://openalex.org/W4235156100","https://openalex.org/W4236258584","https://openalex.org/W4300950750","https://openalex.org/W4321375787","https://openalex.org/W4321764620"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"This":[0],"article":[1],"uses":[2],"methods":[3,81],"such":[4],"as":[5],"computational":[6,83],"modeling":[7],"and":[8,67,77,112],"data":[9,39,50,61,66],"analysis":[10,62],"to":[11,34,63,93,116],"analyze":[12],"the":[13,46,56,65,74,90,108,118,122],"statistical":[14,69],"laws":[15],"of":[16,48,51,89],"commercial":[17],"super":[18],"large":[19],"data.":[20],"Based":[21],"on":[22],"this,":[23],"a":[24,86,103],"mathematical":[25,104],"model":[26,105],"for":[27,106],"optimizing":[28,107],"maximum":[29,36,109],"revenue":[30],"decision-making":[31],"is":[32,41,124],"established":[33],"obtain":[35,68,94,117],"revenue.":[37],"Firstly,":[38],"preprocessing":[40],"carried":[42],"out,":[43],"starting":[44],"from":[45],"perspective":[47],"big":[49],"different":[52],"vegetable":[53],"categories,":[54],"using":[55,73],"time":[57],"series":[58],"method":[59],"in":[60,82],"calculate":[64],"distribution":[70],"patterns.":[71],"Then,":[72,97],"K-means":[75],"clustering":[76],"Sperman":[78],"correlation":[79,91],"coefficient":[80],"modeling,":[84],"draw":[85],"thermal":[87],"map":[88],"coefficients":[92],"their":[95],"interrelationships.":[96],"considering":[98],"various":[99],"constraint":[100],"factors,":[101],"establish":[102],"profit":[110,123],"decision,":[111],"use":[113],"Matlab":[114],"programming":[115],"optimal":[119],"solution":[120],"when":[121],"maximum.":[125]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
