{"id":"https://openalex.org/W4396879109","doi":"https://doi.org/10.1145/3647444.3647880","title":"A Study on Largescale Applications of Big Data in Modern Era","display_name":"A Study on Largescale Applications of Big Data in Modern Era","publication_year":2023,"publication_date":"2023-11-23","ids":{"openalex":"https://openalex.org/W4396879109","doi":"https://doi.org/10.1145/3647444.3647880"},"language":"en","primary_location":{"id":"doi:10.1145/3647444.3647880","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3647880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence","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/A5098009681","display_name":"Dharmi Kapadiya","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145362","display_name":"Institute of Technology Management","ror":"https://ror.org/03c4qaa56","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210145362","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dharmi Kapadiya","raw_affiliation_strings":["Computer Science and Engineering, Swami Keshvanand Institute of Technology, Management &amp; Gramothan, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Swami Keshvanand Institute of Technology, Management &amp; Gramothan, India","institution_ids":["https://openalex.org/I4210145362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098009682","display_name":"Chezal Shekhawat","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145362","display_name":"Institute of Technology Management","ror":"https://ror.org/03c4qaa56","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210145362","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chezal Shekhawat","raw_affiliation_strings":["Computer Science and Engineering, Swami Keshvanand Institute of Technology, Management &amp; Gramothan, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Swami Keshvanand Institute of Technology, Management &amp; Gramothan, India","institution_ids":["https://openalex.org/I4210145362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100613232","display_name":"Priyanka Sharma","orcid":"https://orcid.org/0000-0002-9503-1170"},"institutions":[{"id":"https://openalex.org/I4210145362","display_name":"Institute of Technology Management","ror":"https://ror.org/03c4qaa56","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210145362","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Priyanka Sharma","raw_affiliation_strings":["Computer Science &amp; Engineering, Swami Keshvanand Institute of Technology, Management &amp; Gramothan, India"],"affiliations":[{"raw_affiliation_string":"Computer Science &amp; Engineering, Swami Keshvanand Institute of Technology, Management &amp; Gramothan, India","institution_ids":["https://openalex.org/I4210145362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5098009681"],"corresponding_institution_ids":["https://openalex.org/I4210145362"],"apc_list":null,"apc_paid":null,"fwci":2.6685,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.92960099,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14280","display_name":"Big Data Technologies and Applications","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/T14280","display_name":"Big Data Technologies and Applications","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/T14484","display_name":"Technology and Data Analysis","score":0.9746999740600586,"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":0.9361000061035156,"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/big-data","display_name":"Big data","score":0.5992258787155151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5340323448181152},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38856208324432373},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13569870591163635}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5992258787155151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5340323448181152},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38856208324432373},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13569870591163635}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3647444.3647880","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3647880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2131307433","https://openalex.org/W2514525844","https://openalex.org/W2559577518","https://openalex.org/W3135431196","https://openalex.org/W4206091887","https://openalex.org/W4292466542","https://openalex.org/W4297394737","https://openalex.org/W4327560022","https://openalex.org/W4379932972","https://openalex.org/W4381571128","https://openalex.org/W4382243807","https://openalex.org/W4382776062","https://openalex.org/W4386609836","https://openalex.org/W4387350610","https://openalex.org/W4389385784","https://openalex.org/W4390845318","https://openalex.org/W4391698244","https://openalex.org/W6751291396","https://openalex.org/W6776813969","https://openalex.org/W6788913070"],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2551093110","https://openalex.org/W2148016376","https://openalex.org/W4237919137","https://openalex.org/W3184179822","https://openalex.org/W3095362084","https://openalex.org/W3003361536"],"abstract_inverted_index":{"Big":[0],"data":[1,10,55,75,111,153,175,187],"has":[2,48,81],"brought":[3],"a":[4,121,193],"profound":[5],"revolution":[6],"across":[7,202],"industries,":[8],"redefining":[9],"management":[11],"and":[12,19,36,68,96,102,130,143,178,198],"decision-making":[13,197],"paradigms.":[14],"The":[15,107],"utilization":[16],"of":[17,46,109,151,171,185],"vast":[18],"diverse":[20],"datasets":[21],"enables":[22],"institutions":[23],"to":[24,41,61,89,114],"make":[25],"more":[26],"informed":[27],"risk":[28],"assessments,":[29],"identify":[30],"fraudulent":[31],"activities":[32],"with":[33],"greater":[34],"accuracy":[35],"offer":[37],"personalized":[38,63],"services":[39],"tailored":[40],"individual":[42],"needs.":[43],"A":[44],"lot":[45],"transformation":[47],"been":[49,82],"seen":[50],"various":[51,59,203],"areas":[52],"as":[53],"big":[54,85,110,152,186],"analytics":[56],"is":[57,155],"empowering":[58],"industries":[60],"deliver":[62],"medicine,":[64],"predict":[65],"disease":[66],"outbreaks,":[67],"optimized":[69],"treatment":[70],"plans":[71],"based":[72],"on":[73],"comprehensive":[74],"analysis.":[76],"Additionally,":[77],"the":[78,115,149,157,161,169],"marketing":[79,100],"domain":[80],"reshaped":[83],"by":[84,164],"data,":[86],"allowing":[87],"businesses":[88],"gain":[90],"valuable":[91],"insights":[92],"into":[93],"customer":[94,105],"preferences":[95],"behaviors,":[97],"enabling":[98],"targeted":[99],"campaigns":[101],"ultimately":[103],"enhancing":[104],"satisfaction.":[106],"influence":[108],"also":[112,159],"extends":[113],"transportation":[116,141],"sector,":[117],"where":[118,195],"it":[119],"plays":[120],"pivotal":[122],"role":[123],"in":[124,137],"real-time":[125],"traffic":[126],"management,":[127],"route":[128],"optimization,":[129],"predictive":[131],"maintenance.":[132],"This":[133],"data-driven":[134,196],"approach":[135],"results":[136],"reduced":[138],"congestion,":[139],"improved":[140],"efficiency,":[142],"enhanced":[144],"overall":[145],"travel":[146],"experiences.":[147],"While":[148],"potential":[150],"applications":[154,184],"immense,":[156],"paper":[158],"acknowledges":[160],"challenges":[162],"posed":[163],"handling":[165],"massive":[166],"datasets,":[167],"emphasizing":[168],"importance":[170],"scalable":[172],"infrastructure,":[173],"robust":[174],"privacy":[176],"measures,":[177],"stringent":[179],"security":[180],"protocols.":[181],"Here,":[182],"broad":[183],"are":[188,191],"demonstrated":[189],"that":[190],"shaping":[192],"future":[194],"innovation":[199],"drive":[200],"progress":[201],"sectors.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
