{"id":"https://openalex.org/W4410772376","doi":"https://doi.org/10.1145/3727353.3727482","title":"Research on the Construction of Precision Marketing Strategy under Data Mining Technology","display_name":"Research on the Construction of Precision Marketing Strategy under Data Mining Technology","publication_year":2025,"publication_date":"2025-01-10","ids":{"openalex":"https://openalex.org/W4410772376","doi":"https://doi.org/10.1145/3727353.3727482"},"language":"en","primary_location":{"id":"doi:10.1145/3727353.3727482","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727482","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727482","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727482","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008571420","display_name":"Liangliang Ma","orcid":"https://orcid.org/0000-0002-4336-4440"},"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":"Liangliang Ma","raw_affiliation_strings":["Dalian Polytechnic University, Dalian, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0002-4336-4440","affiliations":[{"raw_affiliation_string":"Dalian Polytechnic University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I88372448"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5008571420"],"corresponding_institution_ids":["https://openalex.org/I88372448"],"apc_list":null,"apc_paid":null,"fwci":1.7501,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84762533,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"805","last_page":"810"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.930899977684021,"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":0.930899977684021,"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":0.5401721000671387},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4578195810317993},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39834678173065186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5401721000671387},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4578195810317993},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39834678173065186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3727353.3727482","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727482","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727482","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3727353.3727482","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727482","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727482","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410772376.pdf","grobid_xml":"https://content.openalex.org/works/W4410772376.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"With":[0],"the":[1,77,93,102,111,120,149,158,176,203,219],"rise":[2],"of":[3,6,13,21,70,80,114,122,130,151,162,180,207,222],"a":[4,18,90,128,137,190],"series":[5],"technologies":[7],"such":[8],"as":[9,155],"big":[10,115],"data,":[11],"Internet":[12],"Things,":[14],"and":[15,35,47,61,63,67,72,84,125,160,164,183,205,213],"media":[16],"integration,":[17],"huge":[19],"amount":[20],"data":[22,71,116,147,216],"resources":[23],"have":[24],"accumulated":[25],"within":[26],"enterprises,":[27],"covering":[28],"consumer":[29],"behavior,":[30],"market":[31,95],"trends,":[32],"competitor":[33],"dynamics":[34],"other":[36],"aspects,":[37],"which":[38,74,196],"is":[39,197],"an":[40],"important":[41],"basis":[42],"for":[43,199,218],"enterprises":[44,86,141,200],"to":[45,87,139,156,201],"formulate":[46],"adjust":[48],"marketing":[49,53,82,132,166],"strategies.":[50,167],"However,":[51],"traditional":[52],"strategies":[54],"often":[55],"rely":[56],"too":[57],"much":[58],"on":[59,101],"experience":[60],"intuition,":[62],"lack":[64],"in-depth":[65],"analysis":[66,178],"processing":[68],"means":[69],"information,":[73],"further":[75],"restricts":[76],"implementation":[78,161],"effect":[79],"enterprise":[81,123,223],"programs":[83],"leads":[85],"be":[88],"at":[89],"disadvantage":[91],"in":[92,119],"fierce":[94],"competition.":[96],"In":[97],"this":[98,106,172],"regard,":[99],"based":[100],"actual":[103],"application":[104,112,221],"requirements,":[105],"paper":[107],"will":[108],"deeply":[109],"explore":[110],"feasibility":[113],"mining":[117],"technology":[118],"field":[121],"marketing,":[124],"put":[126],"forward":[127,175],"set":[129],"precise":[131,165],"strategy":[133],"construction":[134],"framework,":[135],"with":[136],"view":[138],"helping":[140],"extract":[142],"valuable":[143],"information":[144],"from":[145],"massive":[146],"through":[148,186],"innovation":[150],"technical":[152],"means,":[153],"so":[154],"guide":[157],"formulation":[159],"personalized":[163],"Practice":[168],"has":[169],"proved":[170],"that":[171],"framework":[173],"puts":[174],"classification":[177],"method":[179],"user":[181,192,209],"portraits,":[182],"clusters":[184],"users":[185],"K-Means":[187],"algorithm,":[188],"forming":[189],"brand-new":[191],"value":[193],"evaluation":[194],"system,":[195],"convenient":[198],"identify":[202],"characteristics":[204],"needs":[206],"different":[208],"groups":[210],"more":[211],"accurately,":[212],"provides":[214],"strong":[215],"support":[217],"landing":[220],"precision":[224],"marketing.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-14T07:44:22.658603","created_date":"2025-10-10T00:00:00"}
