{"id":"https://openalex.org/W3215968917","doi":"https://doi.org/10.1142/s0219265921430088","title":"An Effective Model for Consumer Need Prediction Using Big Data Analytics","display_name":"An Effective Model for Consumer Need Prediction Using Big Data Analytics","publication_year":2021,"publication_date":"2021-11-22","ids":{"openalex":"https://openalex.org/W3215968917","doi":"https://doi.org/10.1142/s0219265921430088","mag":"3215968917"},"language":"en","primary_location":{"id":"doi:10.1142/s0219265921430088","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219265921430088","pdf_url":null,"source":{"id":"https://openalex.org/S63112013","display_name":"Journal of Interconnection Networks","issn_l":"0219-2659","issn":["0219-2659","1793-6713"],"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":"Journal of Interconnection Networks","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/A5113937440","display_name":"Yihao Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yihao Tian","raw_affiliation_strings":["School of Public Administration, Sichuan University, Chengdu, Sichuan 610065, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Public Administration, Sichuan University, Chengdu, Sichuan 610065, P. R. China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113937440"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.964,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80428683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"22","issue":"Supp02","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9955999851226807,"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"}},{"id":"https://openalex.org/T11536","display_name":"Consumer Retail Behavior Studies","score":0.9879999756813049,"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/big-data","display_name":"Big data","score":0.8216894865036011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7026649713516235},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.6037454605102539},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.571304202079773},{"id":"https://openalex.org/keywords/consumer-behaviour","display_name":"Consumer behaviour","score":0.5456047058105469},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5326098203659058},{"id":"https://openalex.org/keywords/customer-relationship-management","display_name":"Customer relationship management","score":0.48536574840545654},{"id":"https://openalex.org/keywords/customer-intelligence","display_name":"Customer intelligence","score":0.47880181670188904},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43749749660491943},{"id":"https://openalex.org/keywords/scrutiny","display_name":"Scrutiny","score":0.4317959249019623},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.4175838828086853},{"id":"https://openalex.org/keywords/customer-retention","display_name":"Customer retention","score":0.35381340980529785},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3352258801460266},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.20420780777931213},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.17503556609153748},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1245114803314209}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8216894865036011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7026649713516235},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.6037454605102539},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.571304202079773},{"id":"https://openalex.org/C23213687","wikidata":"https://www.wikidata.org/wiki/Q301468","display_name":"Consumer behaviour","level":2,"score":0.5456047058105469},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5326098203659058},{"id":"https://openalex.org/C98825075","wikidata":"https://www.wikidata.org/wiki/Q485643","display_name":"Customer relationship management","level":2,"score":0.48536574840545654},{"id":"https://openalex.org/C57660159","wikidata":"https://www.wikidata.org/wiki/Q5196460","display_name":"Customer intelligence","level":5,"score":0.47880181670188904},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43749749660491943},{"id":"https://openalex.org/C2776050585","wikidata":"https://www.wikidata.org/wiki/Q7439360","display_name":"Scrutiny","level":2,"score":0.4317959249019623},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.4175838828086853},{"id":"https://openalex.org/C101276457","wikidata":"https://www.wikidata.org/wiki/Q5196474","display_name":"Customer retention","level":4,"score":0.35381340980529785},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3352258801460266},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.20420780777931213},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.17503556609153748},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1245114803314209},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"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/C140781008","wikidata":"https://www.wikidata.org/wiki/Q1221081","display_name":"Service quality","level":3,"score":0.0},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219265921430088","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219265921430088","pdf_url":null,"source":{"id":"https://openalex.org/S63112013","display_name":"Journal of Interconnection Networks","issn_l":"0219-2659","issn":["0219-2659","1793-6713"],"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":"Journal of Interconnection Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1965696806","https://openalex.org/W2021596425","https://openalex.org/W2059212242","https://openalex.org/W2072592616","https://openalex.org/W2131635820","https://openalex.org/W2141810254","https://openalex.org/W2516687061","https://openalex.org/W2519607311","https://openalex.org/W2527897905","https://openalex.org/W2537510798","https://openalex.org/W2593039428","https://openalex.org/W2734162370","https://openalex.org/W2741866445","https://openalex.org/W2796163979","https://openalex.org/W2801076278","https://openalex.org/W2810542758","https://openalex.org/W2893074001","https://openalex.org/W2901657898","https://openalex.org/W2963907970","https://openalex.org/W3013001613","https://openalex.org/W3028474513","https://openalex.org/W3030953462","https://openalex.org/W3049557313","https://openalex.org/W3112150325","https://openalex.org/W3147423475","https://openalex.org/W4206718995"],"related_works":["https://openalex.org/W632044111","https://openalex.org/W1973295013","https://openalex.org/W2385901836","https://openalex.org/W1970053881","https://openalex.org/W2184573879","https://openalex.org/W2124748206","https://openalex.org/W4244653254","https://openalex.org/W2552443160","https://openalex.org/W2096938671","https://openalex.org/W2368761584"],"abstract_inverted_index":{"Big":[0,207],"data":[1,5,69,99,199,208],"is":[2,28,74,86,148,151],"an":[3],"unstructured":[4],"set":[6],"with":[7,114],"a":[8,29,44,48,87,158,183],"considerable":[9],"volume,":[10],"coming":[11],"from":[12,60],"various":[13,23],"sources":[14],"such":[15],"as":[16],"the":[17,54,132,141,146,212],"internet,":[18],"business":[19],"organizations,":[20],"etc.,":[21],"in":[22,120,140,211],"formats.":[24],"Predicting":[25],"consumer":[26,39,161,198],"behavior":[27,64,84,108,162],"core":[30],"responsibility":[31],"for":[32,47,154],"most":[33,133,155,160],"dealers.":[34],"Market":[35],"research":[36,50],"can":[37,42,110],"show":[38],"intentions;":[40],"it":[41,150],"be":[43],"big":[45,98,176],"order":[46],"best-designed":[49],"project":[51],"to":[52,79,103,117,181,189],"penetrate":[53],"veil,":[55],"protecting":[56],"real":[57],"customer":[58,68,105,222],"motivations":[59],"closer":[61],"scrutiny.":[62],"Customer":[63,83],"usually":[65,172],"focuses":[66],"on":[67],"mining,":[70],"and":[71,89,97,130,195,226],"each":[72],"model":[73,124,184],"structured":[75],"at":[76],"one":[77,81],"stage":[78],"answer":[80],"query.":[82],"prediction":[85,228],"complex":[88],"unpredictable":[90],"challenge.":[91],"In":[92],"this":[93],"paper,":[94],"advanced":[95],"mathematical":[96],"analytical":[100],"(BDA)":[101],"methods":[102],"predict":[104,190],"behavior.":[106],"Predictive":[107],"analytics":[109,209],"provide":[111],"modern":[112],"marketers":[113],"multiple":[115],"insights":[116],"optimize":[118],"efforts":[119],"their":[121],"strategies.":[122],"This":[123,178],"goes":[125],"beyond":[126],"analyzing":[127],"historical":[128],"evidence":[129],"making":[131],"knowledgeable":[134],"assumptions":[135],"about":[136],"what":[137],"will":[138],"happen":[139],"future":[142],"using":[143,175],"mathematical.":[144],"Because":[145],"method":[147,205],"complex,":[149],"quite":[152,173],"straightforward":[153],"customers.":[156],"As":[157],"result,":[159],"models,":[163],"so":[164],"many":[165],"variables":[166],"that":[167,170],"produce":[168],"predictions":[169],"are":[171],"accurate":[174],"data.":[177],"paper":[179],"attempts":[180],"develop":[182],"of":[185],"association":[186],"rule":[187],"mining":[188],"customers\u2019":[191],"behavior,":[192],"improve":[193],"accuracy,":[194],"derive":[196],"major":[197],"patterns.":[200],"The":[201],"finding":[202],"recommended":[203],"BDA":[204],"improves":[206],"usability":[210],"organization":[213],"(98.2%),":[214],"risk":[215],"management":[216],"ratio":[217,224,229],"(96.2%),":[218],"operational":[219],"cost":[220],"(97.1%),":[221],"feedback":[223],"(98.5%),":[225],"demand":[227],"(95.2%).":[230]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}