{"id":"https://openalex.org/W4403717329","doi":"https://doi.org/10.1145/3690407.3690522","title":"An optimized product model based on the K-means++ algorithm","display_name":"An optimized product model based on the K-means++ algorithm","publication_year":2024,"publication_date":"2024-06-21","ids":{"openalex":"https://openalex.org/W4403717329","doi":"https://doi.org/10.1145/3690407.3690522"},"language":"en","primary_location":{"id":"doi:10.1145/3690407.3690522","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690407.3690522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms","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/A5114390358","display_name":"Liping Zang","orcid":null},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liping Zang","raw_affiliation_strings":["Zhengzhou University of Aeronautics, Zhengzhou, Henan, China"],"raw_orcid":"https://orcid.org/0009-0007-8444-6489","affiliations":[{"raw_affiliation_string":"Zhengzhou University of Aeronautics, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I192868223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019875629","display_name":"Qinyuan Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinyuan Xue","raw_affiliation_strings":["Zhengzhou University of Aeronautics, Zhengzhou, Henan, China"],"raw_orcid":"https://orcid.org/0009-0001-2285-8038","affiliations":[{"raw_affiliation_string":"Zhengzhou University of Aeronautics, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I192868223"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinru Wang","orcid":"https://orcid.org/0009-0001-3041-2984"},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinru Wang","raw_affiliation_strings":["Zhengzhou University of Aeronautics, Zhengzhou, Henan, China"],"raw_orcid":"https://orcid.org/0009-0001-3041-2984","affiliations":[{"raw_affiliation_string":"Zhengzhou University of Aeronautics, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I192868223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101998617","display_name":"Bao Tian","orcid":"https://orcid.org/0000-0002-8433-714X"},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao Tian","raw_affiliation_strings":["Zhengzhou University of Aeronautics, Zhengzhou, Henan, China"],"raw_orcid":"https://orcid.org/0000-0002-8433-714X","affiliations":[{"raw_affiliation_string":"Zhengzhou University of Aeronautics, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I192868223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030096689","display_name":"Suguo Zhu","orcid":"https://orcid.org/0000-0001-8243-1127"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suguo Zhu","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0001-8243-1127","affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114390358"],"corresponding_institution_ids":["https://openalex.org/I192868223"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16173266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"677","last_page":"684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.3986999988555908,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.3986999988555908,"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/T14484","display_name":"Technology and Data Analysis","score":0.3971000015735626,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11891","display_name":"Big Data and Business Intelligence","score":0.392300009727478,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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":0.5977548956871033},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5838590264320374},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.47553491592407227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16161590814590454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5977548956871033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5838590264320374},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.47553491592407227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16161590814590454},{"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:10.1145/3690407.3690522","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690407.3690522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"To":[0],"precisely":[1],"uncover":[2],"the":[3,36,62,67,108],"primary":[4],"sales":[5,15,37,68],"patterns":[6],"of":[7,35,66,70],"supermarket":[8,19],"vegetable":[9,41,48],"products,":[10],"this":[11],"study":[12],"leverages":[13],"detailed":[14],"data":[16,78],"from":[17],"a":[18],"spanning":[20],"nearly":[21],"three":[22,51],"years.":[23],"The":[24,43],"K-means++":[25],"clustering":[26,44],"algorithm":[27],"was":[28],"employed":[29],"to":[30],"conduct":[31],"an":[32],"in-depth":[33],"analysis":[34],"correlation":[38],"among":[39],"individual":[40,72],"categories.":[42],"results":[45],"scientifically":[46],"categorize":[47],"items":[49],"into":[50],"groups:":[52],"fast-moving,":[53],"average-moving,":[54],"and":[55,80,92,105],"slow-moving.":[56],"This":[57],"classification":[58],"not":[59],"only":[60],"enhances":[61],"supermarket's":[63,109],"precise":[64],"understanding":[65],"performance":[69],"each":[71],"product":[73,93],"but":[74],"also":[75],"provides":[76],"robust":[77],"support":[79],"reference":[81],"for":[82],"subsequent":[83],"decision-making":[84],"in":[85,98],"areas":[86],"such":[87],"as":[88],"inventory":[89,100],"replenishment":[90],"strategies":[91],"pricing.":[94],"Ultimately,":[95],"it":[96],"aids":[97],"optimizing":[99],"management,":[101],"improving":[102],"operational":[103],"efficiency,":[104],"ultimately":[106],"enhancing":[107],"overall":[110],"profit":[111],"margins.":[112]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}