{"id":"https://openalex.org/W4313451580","doi":"https://doi.org/10.1109/iccr56254.2022.9996037","title":"Retracted: Performance Analysis of Multi-objective Data Placement Technique and Sine Optimization Algorithm to Measure Prediction in Large Volume of Data Storage","display_name":"Retracted: Performance Analysis of Multi-objective Data Placement Technique and Sine Optimization Algorithm to Measure Prediction in Large Volume of Data Storage","publication_year":2022,"publication_date":"2022-10-06","ids":{"openalex":"https://openalex.org/W4313451580","doi":"https://doi.org/10.1109/iccr56254.2022.9996037"},"language":"en","primary_location":{"id":"doi:10.1109/iccr56254.2022.9996037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccr56254.2022.9996037","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Cyber Resilience (ICCR)","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/A5011152895","display_name":"H. Sudarsan Kumar Raju","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"H. Sudarsan Kumar Raju","raw_affiliation_strings":["Saveetha University,Department of computer science and Engineering,Chennai,India","Department of computer science and Engineering, Saveetha University, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha University,Department of computer science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of computer science and Engineering, Saveetha University, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101720154","display_name":"M. Nalini","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Nalini","raw_affiliation_strings":["Saveetha University,Department of computer science and Engineering,Chennai,India","Department of computer science and Engineering, Saveetha University, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha University,Department of computer science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of computer science and Engineering, Saveetha University, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066355600","display_name":"Preethika Murugan","orcid":"https://orcid.org/0000-0003-3700-4403"},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Senthil Murugan","raw_affiliation_strings":["Saveetha University,Department of computer science and Engineering,Chennai,India","Department of computer science and Engineering, Saveetha University, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha University,Department of computer science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of computer science and Engineering, Saveetha University, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011152895"],"corresponding_institution_ids":["https://openalex.org/I85461943"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18325792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.991599977016449,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.991599977016449,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9847000241279602,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9796000123023987,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.640927791595459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6050043702125549},{"id":"https://openalex.org/keywords/sine","display_name":"Sine","score":0.5821962356567383},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5153622031211853},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4960509240627289},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.48980188369750977},{"id":"https://openalex.org/keywords/iterated-function","display_name":"Iterated function","score":0.48903927206993103},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4139837622642517},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2955256700515747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2707865238189697},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2559821605682373}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.640927791595459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6050043702125549},{"id":"https://openalex.org/C186661526","wikidata":"https://www.wikidata.org/wiki/Q13647261","display_name":"Sine","level":2,"score":0.5821962356567383},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5153622031211853},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4960509240627289},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.48980188369750977},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.48903927206993103},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4139837622642517},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2955256700515747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2707865238189697},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2559821605682373},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccr56254.2022.9996037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccr56254.2022.9996037","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Cyber Resilience (ICCR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2085548088","https://openalex.org/W2287081603","https://openalex.org/W2343305032","https://openalex.org/W2344491042","https://openalex.org/W2466787422","https://openalex.org/W2566041289","https://openalex.org/W2582591522","https://openalex.org/W2582973379","https://openalex.org/W2612336800","https://openalex.org/W2756359217","https://openalex.org/W2791968837","https://openalex.org/W2800922581","https://openalex.org/W2886544667","https://openalex.org/W2895062810","https://openalex.org/W2915876222","https://openalex.org/W2952984514","https://openalex.org/W2960281203","https://openalex.org/W2965055566","https://openalex.org/W2969273852","https://openalex.org/W3011309709","https://openalex.org/W3012298750","https://openalex.org/W3014405544","https://openalex.org/W3027872128","https://openalex.org/W3029903276","https://openalex.org/W3033634275","https://openalex.org/W3044848609","https://openalex.org/W3082996359","https://openalex.org/W3092415779","https://openalex.org/W3096252857","https://openalex.org/W3138243008","https://openalex.org/W3143732745","https://openalex.org/W3168763132","https://openalex.org/W3169069422","https://openalex.org/W3171338731","https://openalex.org/W4200204739","https://openalex.org/W4200239397","https://openalex.org/W4212919402","https://openalex.org/W4213118007","https://openalex.org/W4289830854","https://openalex.org/W4294151799"],"related_works":["https://openalex.org/W3103325625","https://openalex.org/W4255837520","https://openalex.org/W1486898455","https://openalex.org/W2387011115","https://openalex.org/W3090727460","https://openalex.org/W2073248645","https://openalex.org/W3212179065","https://openalex.org/W2184070258","https://openalex.org/W3087997050","https://openalex.org/W2348923905"],"abstract_inverted_index":{"The":[0,59],"motto":[1],"of":[2,82],"the":[3,8,42,72,75,80,83,97],"study":[4,76],"is":[5],"to":[6,40,54],"optimize":[7,41],"storage":[9],"locations":[10],"using":[11],"a":[12,85],"multi-objective":[13,86],"data":[14,26,45,87,95,101],"placement":[15,27,46,88],"technique":[16,28,47,89],"algorithm":[17,29,34,57],"and":[18,21,31],"sine":[19,32,55],"optimization":[20,33,56],"comparing":[22],"their":[23],"accuracy.":[24],"Multi-objective":[25,44],"(N=10)":[30,35],"was":[36],"iterated":[37],"20":[38],"times":[39],"data.":[43],"has":[48],"significantly":[49],"better":[50],"accuracy":[51,99],"(99.99%)":[52],"compared":[53],"(99.94%).":[58],"statistical":[60],"significance":[61],"difference":[62],"0.01":[63],"(p\u00a1":[64],"0.05":[65],"independent":[66],"sample":[67],"test)":[68],"value":[69],"states":[70],"that":[71],"results":[73],"in":[74,100],"are":[77],"significant.":[78],"With":[79],"limits":[81],"study,":[84],"with":[90],"credit":[91],"card":[92],"fraud":[93],"detection":[94],"offers":[96],"best":[98],"optimization.":[102]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2023-01-06T00:00:00"}
