{"id":"https://openalex.org/W4391094347","doi":"https://doi.org/10.1109/bigdata59044.2023.10386491","title":"Big Data and Data Visualization Challenges","display_name":"Big Data and Data Visualization Challenges","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391094347","doi":"https://doi.org/10.1109/bigdata59044.2023.10386491"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata59044.2023.10386491","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5009145964","display_name":"Manoj Muniswamaiah","orcid":null},"institutions":[{"id":"https://openalex.org/I126863827","display_name":"Pace University","ror":"https://ror.org/047p7y759","country_code":"US","type":"education","lineage":["https://openalex.org/I126863827"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manoj Muniswamaiah","raw_affiliation_strings":["Seidenberg School of CSIS, Pace University, White Plains, New York"],"affiliations":[{"raw_affiliation_string":"Seidenberg School of CSIS, Pace University, White Plains, New York","institution_ids":["https://openalex.org/I126863827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077426642","display_name":"Tilak Agerwala","orcid":null},"institutions":[{"id":"https://openalex.org/I126863827","display_name":"Pace University","ror":"https://ror.org/047p7y759","country_code":"US","type":"education","lineage":["https://openalex.org/I126863827"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tilak Agerwala","raw_affiliation_strings":["Seidenberg School of CSIS, Pace University, White Plains, New York"],"affiliations":[{"raw_affiliation_string":"Seidenberg School of CSIS, Pace University, White Plains, New York","institution_ids":["https://openalex.org/I126863827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030425537","display_name":"Charles C. Tappert","orcid":null},"institutions":[{"id":"https://openalex.org/I126863827","display_name":"Pace University","ror":"https://ror.org/047p7y759","country_code":"US","type":"education","lineage":["https://openalex.org/I126863827"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles C. Tappert","raw_affiliation_strings":["Seidenberg School of CSIS, Pace University, White Plains, New York"],"affiliations":[{"raw_affiliation_string":"Seidenberg School of CSIS, Pace University, White Plains, New York","institution_ids":["https://openalex.org/I126863827"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":67},"biblio":{"volume":null,"issue":null,"first_page":"6227","last_page":"6229"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9985,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9985,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9802,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9716,"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/representation","display_name":"Representation","score":0.4363802},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.43318373}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8607402},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.80026215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7656238},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.7312914},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.6939082},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.69191265},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.47264662},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4363802},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.43318373},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.42043158},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36790854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13122615},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata59044.2023.10386491","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":7,"referenced_works":["https://openalex.org/W2966541941","https://openalex.org/W3008890070","https://openalex.org/W3105258172","https://openalex.org/W3136016411","https://openalex.org/W4300337599","https://openalex.org/W4306918221","https://openalex.org/W4399213764"],"related_works":["https://openalex.org/W4313443867","https://openalex.org/W3185027765","https://openalex.org/W3010975807","https://openalex.org/W2295030662","https://openalex.org/W2151530263","https://openalex.org/W2105200106","https://openalex.org/W2104025928","https://openalex.org/W2096373083","https://openalex.org/W2027333138","https://openalex.org/W1574055964"],"abstract_inverted_index":{"Big":[0,21,121],"Data":[1,22,122],"has":[2,18,23],"gained":[3],"attention":[4],"due":[5],"to":[6,84,94,115],"its":[7],"significant":[8],"impact":[9],"on":[10],"society.":[11],"With":[12],"the":[13,39,53,59,70,77,86,96,99,117],"growth":[14],"of":[15,35,38,55,72,76,98,120],"IoT,":[16],"data":[17,56,61,100,103],"grown":[19],"exponentially.":[20],"played":[24],"an":[25,81],"essential":[26],"role":[27],"in":[28,52],"decision-making.":[29],"After":[30],"collecting":[31],"a":[32,46,50],"large":[33],"volume":[34],"data,":[36,88],"one":[37],"critical":[40],"tasks":[41],"is":[42,49,62,105],"performing":[43],"analysis.":[44],"As":[45],"result,":[47],"there":[48],"rise":[51],"adoption":[54],"visualization,":[57],"where":[58],"raw":[60],"converted":[63],"into":[64],"useful":[65],"information":[66],"through":[67],"research":[68],"and":[69,89],"generation":[71],"patterns.":[73],"The":[74],"representation":[75],"natural":[78],"numbers":[79],"offers":[80],"easier":[82,93],"way":[83],"interpret":[85],"collected":[87],"thus,":[90],"it":[91,107],"becomes":[92],"comprehend":[95],"significance":[97],"collected.":[101],"While":[102],"visualization":[104],"significant,":[106],"faces":[108],"numerous":[109],"challenges;":[110],"therefore,":[111],"this":[112],"paper":[113],"aims":[114],"provide":[116],"different":[118],"challenges":[119],"visualization.":[123]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4391094347","counts_by_year":[],"updated_date":"2025-01-18T08:54:36.366137","created_date":"2024-01-23"}