{"id":"https://openalex.org/W4406417945","doi":"https://doi.org/10.1109/ic3i61595.2024.10828582","title":"Advanced Hybrid Intelligence Framework for Scalable and Robust Big Data Analytics","display_name":"Advanced Hybrid Intelligence Framework for Scalable and Robust Big Data Analytics","publication_year":2024,"publication_date":"2024-09-18","ids":{"openalex":"https://openalex.org/W4406417945","doi":"https://doi.org/10.1109/ic3i61595.2024.10828582"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i61595.2024.10828582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i61595.2024.10828582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Contemporary Computing and Informatics (IC3I)","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/A5033193793","display_name":"S P Sreeja","orcid":"https://orcid.org/0000-0003-4340-784X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"S P Sreeja","raw_affiliation_strings":["New Horizon College of Engineering,Master of Computer Application,Bangalore,India"],"affiliations":[{"raw_affiliation_string":"New Horizon College of Engineering,Master of Computer Application,Bangalore,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115894655","display_name":"D Sreenivasulu","orcid":null},"institutions":[{"id":"https://openalex.org/I138535024","display_name":"Aeronautical Development Agency","ror":"https://ror.org/016d6bq56","country_code":"IN","type":"government","lineage":["https://openalex.org/I138535024"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D Sreenivasulu","raw_affiliation_strings":["Institute of Aeronautical Engineering, Dundigal,Computer Science and Engineering (Data Science),Hyderabad,India,500043"],"affiliations":[{"raw_affiliation_string":"Institute of Aeronautical Engineering, Dundigal,Computer Science and Engineering (Data Science),Hyderabad,India,500043","institution_ids":["https://openalex.org/I138535024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031816107","display_name":"Alok Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Alok Jain","raw_affiliation_strings":["Lovely Professional University,Phagwara,India"],"affiliations":[{"raw_affiliation_string":"Lovely Professional University,Phagwara,India","institution_ids":["https://openalex.org/I110360157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070044199","display_name":"R. Akhilesh Reddy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Akhilesh Reddy","raw_affiliation_strings":["MLR Institute of Technology,Department of CSE-AI&ML,Hyderabad,Telangana,India"],"affiliations":[{"raw_affiliation_string":"MLR Institute of Technology,Department of CSE-AI&ML,Hyderabad,Telangana,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002987570","display_name":"Fatimah Dhari Jabbar","orcid":"https://orcid.org/0000-0002-1461-1502"},"institutions":[{"id":"https://openalex.org/I3131779051","display_name":"Iraqi University","ror":"https://ror.org/01wfhkb67","country_code":"IQ","type":"education","lineage":["https://openalex.org/I3131779051"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Fatimah Dhari Jabbar","raw_affiliation_strings":["The Islamic University,College of Medical Technology,Radiology Techniques Department,Najaf,Iraq"],"affiliations":[{"raw_affiliation_string":"The Islamic University,College of Medical Technology,Radiology Techniques Department,Najaf,Iraq","institution_ids":["https://openalex.org/I3131779051"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107451905","display_name":"V. Keerthi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. Keerthi","raw_affiliation_strings":["GRIET, Bachupally,Department of CSE,Hyderabad,Telangana,India"],"affiliations":[{"raw_affiliation_string":"GRIET, Bachupally,Department of CSE,Hyderabad,Telangana,India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5033193793"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41271955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1529","last_page":"1535"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9700999855995178,"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"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9700999855995178,"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/T10320","display_name":"Neural Networks and Applications","score":0.9577999711036682,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.954200029373169,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7930756211280823},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.744225800037384},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6157381534576416},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6110504269599915},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5158066749572754},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"Business intelligence","score":0.5073646903038025},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.4472917318344116},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3022295832633972},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1656525731086731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7930756211280823},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.744225800037384},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6157381534576416},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6110504269599915},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5158066749572754},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.5073646903038025},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.4472917318344116},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3022295832633972},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1656525731086731}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i61595.2024.10828582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i61595.2024.10828582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2735903900","https://openalex.org/W2799709817","https://openalex.org/W2799819179","https://openalex.org/W2924170386","https://openalex.org/W2999211502","https://openalex.org/W3013411140","https://openalex.org/W3041878535","https://openalex.org/W3092511540","https://openalex.org/W3096431201","https://openalex.org/W3132995022","https://openalex.org/W3165558508","https://openalex.org/W3175987922","https://openalex.org/W4224903304","https://openalex.org/W4289522611","https://openalex.org/W4295836565","https://openalex.org/W4364379124","https://openalex.org/W4376287559","https://openalex.org/W4383224715","https://openalex.org/W4387348238","https://openalex.org/W4388849303","https://openalex.org/W4389557388","https://openalex.org/W4391217311","https://openalex.org/W4391230221","https://openalex.org/W4392451047","https://openalex.org/W4392451187","https://openalex.org/W4392478182","https://openalex.org/W4393169790","https://openalex.org/W4394575236","https://openalex.org/W4402295313"],"related_works":["https://openalex.org/W2807997669","https://openalex.org/W2913151401","https://openalex.org/W4367856707","https://openalex.org/W2048156096","https://openalex.org/W3068949829","https://openalex.org/W3130756120","https://openalex.org/W4226266853","https://openalex.org/W2150941767","https://openalex.org/W3123352720","https://openalex.org/W4391096297"],"abstract_inverted_index":{"The":[0],"phenomena":[1],"of":[2,8,33,42,50,78,85,92,123,126,150,157],"data":[3,16,44,115,181,191],"explosion":[4],"in":[5,121,133],"different":[6,148],"areas":[7],"life":[9],"require":[10],"enhanced":[11],"methods":[12,62],"to":[13,38,63,135,174],"performing":[14],"big":[15,43,114,180,190],"analysis.":[17,45],"This":[18,141],"paper":[19],"proposes":[20],"the":[21,31,40,48,65,83,90,96,102,109,124,127,136,145,155,166,175],"Hybrid":[22],"Intelligent":[23],"Machine":[24],"Learning":[25],"System":[26],"(HIMLS)":[27],"which":[28,67,94],"work":[29],"through":[30],"combination":[32],"multiple":[34],"machine":[35,138],"learning":[36,58,71,139],"approaches":[37],"improve":[39],"efficacy":[41],"HIMLS":[46,88,169],"applies":[47],"benefits":[49],"both":[51],"supervised":[52],"and":[53,60,72,130,154],"unsupervised":[54],"learning,":[55],"integrates":[56],"deep":[57],"models":[59],"ensemble":[61],"solve":[64],"difficulties":[66],"are":[68],"from":[69],"high-dimension":[70],"heterogeneous":[73],"data.":[74],"As":[75],"a":[76,118,171],"result":[77],"combining":[79],"feature":[80],"selection":[81],"with":[82],"process":[84],"dimensionality":[86,93],"reduction":[87],"moderates":[89],"curse":[91],"enhances":[95],"models\u2019":[97],"predictive":[98],"capability":[99],"while":[100],"lowering":[101],"computational":[103],"requirements.":[104],"It":[105],"is":[106],"proved":[107],"that":[108,147],"system":[110],"works":[111],"on":[112],"actual":[113],"implementation,":[116],"exhibits":[117],"better":[119],"solution":[120,173],"terms":[122],"accuracy":[125],"model,":[128],"size,":[129],"stability":[131],"aspects":[132],"contrast":[134],"conventional":[137],"approaches.":[140],"research":[142],"also":[143],"analyses":[144],"effects":[146],"techniques":[149],"hyperparameters":[151],"optimization":[152],"select":[153],"involvement":[156],"distributed":[158],"computing":[159],"systems":[160],"for":[161,188],"speeding":[162],"up":[163],"analytics.":[164],"Thus":[165],"study":[167],"infers":[168],"as":[170],"suitable":[172],"shortcomings":[176],"characterized":[177],"by":[178],"current":[179],"analytical":[182],"techniques,":[183],"giving":[184],"an":[185],"efficient":[186],"method":[187],"harnessing":[189],"solutions.":[192]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}