{"id":"https://openalex.org/W4396218692","doi":"https://doi.org/10.1145/3641343.3641449","title":"Research on Vegetable Sales Forecasting and Pricing Optimization Based on ARIMA and Greedy Algorithm","display_name":"Research on Vegetable Sales Forecasting and Pricing Optimization Based on ARIMA and Greedy Algorithm","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4396218692","doi":"https://doi.org/10.1145/3641343.3641449"},"language":"en","primary_location":{"id":"doi:10.1145/3641343.3641449","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641343.3641449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 3rd International Conference on Electronic Information Technology and Smart Agriculture","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/A5014926875","display_name":"Qiyuan Zheng","orcid":"https://orcid.org/0009-0000-0859-7401"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiyuan Zheng","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Dalian Polytechnic University, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Dalian Polytechnic University, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076582097","display_name":"Hanlin Feng","orcid":"https://orcid.org/0009-0002-0418-7370"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanlin Feng","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Dalian Polytechnic University, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Dalian Polytechnic University, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017380463","display_name":"Jingze Li","orcid":"https://orcid.org/0009-0003-3959-4862"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingze Li","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Dalian Polytechnic University, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Dalian Polytechnic University, China","institution_ids":["https://openalex.org/I88372448"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014926875"],"corresponding_institution_ids":["https://openalex.org/I88372448"],"apc_list":null,"apc_paid":null,"fwci":0.2513,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64154422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"477","last_page":"484"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9728999733924866,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9728999733924866,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9668999910354614,"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/T11059","display_name":"Market Dynamics and Volatility","score":0.9204000234603882,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.7836675643920898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6100966334342957},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5073291659355164},{"id":"https://openalex.org/keywords/transaction-data","display_name":"Transaction data","score":0.4936746060848236},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4905375838279724},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4794989228248596},{"id":"https://openalex.org/keywords/knapsack-problem","display_name":"Knapsack problem","score":0.4660903513431549},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.45502856373786926},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.40812885761260986},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.3880431056022644},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3798332214355469},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.31447434425354004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23331722617149353},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21603432297706604},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.20310533046722412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18009892106056213},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1694777011871338},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1564532220363617}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.7836675643920898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6100966334342957},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5073291659355164},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.4936746060848236},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4905375838279724},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4794989228248596},{"id":"https://openalex.org/C113138325","wikidata":"https://www.wikidata.org/wiki/Q864457","display_name":"Knapsack problem","level":2,"score":0.4660903513431549},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.45502856373786926},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.40812885761260986},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.3880431056022644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3798332214355469},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.31447434425354004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23331722617149353},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21603432297706604},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.20310533046722412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18009892106056213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1694777011871338},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1564532220363617},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3641343.3641449","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641343.3641449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 3rd International Conference on Electronic Information Technology and Smart Agriculture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W83947481","https://openalex.org/W1969173997","https://openalex.org/W1986702319","https://openalex.org/W1988937492","https://openalex.org/W2038498050","https://openalex.org/W2069508080","https://openalex.org/W3002148598","https://openalex.org/W4246219036","https://openalex.org/W4302441299","https://openalex.org/W6603421324","https://openalex.org/W6671436456","https://openalex.org/W6677096361","https://openalex.org/W7029321148"],"related_works":["https://openalex.org/W2357796514","https://openalex.org/W2393014972","https://openalex.org/W2357595179","https://openalex.org/W2351136238","https://openalex.org/W2891162720","https://openalex.org/W3171554204","https://openalex.org/W3199776955","https://openalex.org/W2169800510","https://openalex.org/W2167807475","https://openalex.org/W3112089036"],"abstract_inverted_index":{"This":[0,37],"paper":[1],"mainly":[2],"uses":[3],"linear":[4],"regression":[5],"analysis,":[6],"ARIMA":[7,83],"model,":[8],"greedy":[9,200],"algorithm":[10,201],"and":[11,33,64,91,102,117,135,158,175,188,217],"other":[12],"methods":[13],"to":[14,22,81,87,98,171,181,193,204],"solve":[15],"the":[16,25,30,60,65,71,89,92,100,104,109,128,136,146,164,177,183,199,206,213,220],"main":[17],"problems":[18],"such":[19],"as":[20,192],"how":[21],"accurately":[23],"predict":[24,70,88,99],"sales":[26,44,72,114],"trend,":[27],"effectively":[28],"make":[29,113],"replenishment":[31,106,116],"plan":[32],"reasonable":[34],"price":[35,101],"strategy.":[36],"study":[38],"collected":[39,165],"various":[40],"data":[41,58,61,129,168,180],"of":[42,74,120],"vegetable":[43,76,122],"in":[45,49],"a":[46,195],"shopping":[47],"mall":[48],"two":[50],"years.":[51],"The":[52],"box":[53],"plot":[54],"is":[55,62,85,96,130,142,148,202],"used":[56,86,97,203],"for":[57,108],"preprocessing,":[59],"visualized,":[63],"outliers":[66],"are":[67,169],"removed.":[68],"First,":[69],"volume":[73],"each":[75,121],"category":[77],"from":[78],"July":[79,125,224],"1":[80],"7.The":[82],"model":[84,95],"price,":[90],"adjusted":[93],"grid":[94],"give":[103,205,219],"daily":[105],"strategy":[107,222],"next":[110],"week.":[111],"Further":[112],"forecast,":[115],"pricing":[118,221],"decision":[119],"item":[123,137],"on":[124,223],"1.":[126],"And":[127],"preprocessed":[131],"by":[132,160],"average":[133],"value,":[134],"number":[138],"without":[139],"transaction":[140],"information":[141],"screened":[143],"out.":[144],"Then":[145],"problem":[147,152],"transformed":[149],"into":[150],"knapsack":[151],"(a":[153],"combinatorial":[154],"optimization":[155],"NP-complete":[156],"problem)":[157],"solved":[159],"dynamic":[161],"programming.":[162],"Next,":[163],"loss":[166,186],"rate":[167,187],"introduced":[170],"further":[172],"clean,":[173],"screen":[174],"modify":[176],"previously":[178],"processed":[179],"establish":[182,194],"correlation":[184],"between":[185],"shelf":[189],"life,":[190],"so":[191],"new":[196],"model.":[197],"Finally,":[198],"optimal":[207],"solution,":[208],"select":[209],"33":[210],"goods":[211],"with":[212],"highest":[214],"expected":[215],"profit,":[216],"finally":[218],"1,":[225],"2023.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}