{"id":"https://openalex.org/W2995857146","doi":"https://doi.org/10.1109/tencon.2019.8929442","title":"A Parallel and Distributed Radial Basis Function Network for Big Data Analytics","display_name":"A Parallel and Distributed Radial Basis Function Network for Big Data Analytics","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2995857146","doi":"https://doi.org/10.1109/tencon.2019.8929442","mag":"2995857146"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2019.8929442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","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/A5022128880","display_name":"Sk. Kamaruddin","orcid":"https://orcid.org/0000-0002-1887-7391"},"institutions":[{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S.K. Kamaruddin","raw_affiliation_strings":["SCIS, University of Hyderabad, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"SCIS, University of Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I36893310"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073505371","display_name":"Vadlamani Ravi","orcid":"https://orcid.org/0000-0003-0082-6227"},"institutions":[{"id":"https://openalex.org/I150312865","display_name":"Institute for Development and Research in Banking Technology","ror":"https://ror.org/00ta0g865","country_code":"IN","type":"government","lineage":["https://openalex.org/I150312865"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vadlamani Ravi","raw_affiliation_strings":["Centre of Excellence in Analytics, Institute for Development and Research in Banking Technology, Castle Hills Road No. 1, Masab Tank, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Centre of Excellence in Analytics, Institute for Development and Research in Banking Technology, Castle Hills Road No. 1, Masab Tank, Hyderabad, India","institution_ids":["https://openalex.org/I150312865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022128880"],"corresponding_institution_ids":["https://openalex.org/I36893310"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16522205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5931","issue":null,"first_page":"395","last_page":"399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998999834060669,"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/T10320","display_name":"Neural Networks and Applications","score":0.9998999834060669,"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/T10057","display_name":"Face and Expression Recognition","score":0.9954000115394592,"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":0.9922000169754028,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8268685936927795},{"id":"https://openalex.org/keywords/radial-basis-function-network","display_name":"Radial basis function network","score":0.7051382064819336},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6617892384529114},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.6335375308990479},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.5807426571846008},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5617461800575256},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46951574087142944},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4412415027618408},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4243493378162384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4115886688232422},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3493393659591675},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.34029096364974976}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8268685936927795},{"id":"https://openalex.org/C132917294","wikidata":"https://www.wikidata.org/wiki/Q2679684","display_name":"Radial basis function network","level":4,"score":0.7051382064819336},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6617892384529114},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.6335375308990479},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.5807426571846008},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5617461800575256},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46951574087142944},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4412415027618408},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4243493378162384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4115886688232422},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3493393659591675},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34029096364974976},{"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":[{"id":"doi:10.1109/tencon.2019.8929442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1964168965","https://openalex.org/W1983343516","https://openalex.org/W1990368529","https://openalex.org/W2041364355","https://openalex.org/W2073459066","https://openalex.org/W2108399535","https://openalex.org/W2116762767","https://openalex.org/W2136891251","https://openalex.org/W2145867514","https://openalex.org/W2171277043","https://openalex.org/W2171975443","https://openalex.org/W2293747114","https://openalex.org/W6646302160","https://openalex.org/W6668990524","https://openalex.org/W6681551814"],"related_works":["https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W4388692845","https://openalex.org/W3202731209","https://openalex.org/W3211874991","https://openalex.org/W4230534566","https://openalex.org/W1992876914","https://openalex.org/W2184586959","https://openalex.org/W2105180757","https://openalex.org/W162769146"],"abstract_inverted_index":{"Radial":[0],"Basis":[1],"Function":[2],"Network":[3],"(RBFN)":[4],"is":[5,46,57,111,117],"one":[6],"of":[7,38,44,59,74,82,86,125],"the":[8,87,114,126],"versatile":[9],"neural":[10],"network":[11],"architectures,":[12],"in":[13,32,54,66],"that":[14,113],"it":[15],"can":[16],"be":[17],"used":[18],"to":[19,48,118,128],"solve":[20],"regression":[21],"as":[22,24,49],"well":[23],"classification":[25],"tasks.":[26],"The":[27,41,51,84],"proposed":[28],"work":[29,56],"implements":[30],"RBFN":[31,45,127],"a":[33,120],"parallel":[34,62,75,123],"and":[35,69,72,95,122],"distributed":[36,63,121],"environment":[37],"Apache":[39],"Spark.":[40],"new":[42],"version":[43,124],"referred":[47],"PRBFN.":[50],"main":[52],"contribution":[53],"this":[55],"embedding":[58],"K-Means||":[60],"(a":[61],"clustering":[64],"method)":[65],"between":[67],"input":[68],"hidden":[70],"layer":[71],"implementation":[73],"least":[76],"square":[77],"estimation":[78],"employing":[79],"outer":[80],"product":[81],"matrices.":[83],"effectiveness":[85],"PRBFN":[88],"was":[89],"tested":[90],"on":[91],"HEPMASS,":[92],"HIGGS,":[93],"ccFraud,":[94],"Amazon":[96],"Movie":[97],"Review":[98],"(for":[99],"sentiment":[100],"classification)":[101],"datasets":[102],"under":[103],"10":[104],"Fold":[105],"Cross":[106],"Validation":[107],"(10-FCV)":[108],"setup.":[109],"It":[110],"emphasized":[112],"chief":[115],"objective":[116],"present":[119],"handle":[129],"big":[130],"datasets.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}