{"id":"https://openalex.org/W2591526472","doi":"https://doi.org/10.1109/ecai.2016.7861161","title":"The influence of data replication in the knowledge discovery in distributed databases process","display_name":"The influence of data replication in the knowledge discovery in distributed databases process","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2591526472","doi":"https://doi.org/10.1109/ecai.2016.7861161","mag":"2591526472"},"language":"en","primary_location":{"id":"doi:10.1109/ecai.2016.7861161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecai.2016.7861161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","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/A5079973125","display_name":"Valentin Pupezescu","orcid":null},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]},{"id":"https://openalex.org/I141595442","display_name":"University of Bucharest","ror":"https://ror.org/02x2v6p15","country_code":"RO","type":"education","lineage":["https://openalex.org/I141595442"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Valentin Pupezescu","raw_affiliation_strings":["Applied Electronics & Information Engineering Dept., Polytechnic University of Bucharest, Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Applied Electronics & Information Engineering Dept., Polytechnic University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I141595442","https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019030496","display_name":"Radu R\u0103descu","orcid":"https://orcid.org/0000-0003-3756-067X"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]},{"id":"https://openalex.org/I141595442","display_name":"University of Bucharest","ror":"https://ror.org/02x2v6p15","country_code":"RO","type":"education","lineage":["https://openalex.org/I141595442"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Radu Radescu","raw_affiliation_strings":["Applied Electronics & Information Engineering Dept., Polytechnic University of Bucharest, Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Applied Electronics & Information Engineering Dept., Polytechnic University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I141595442","https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079973125"],"corresponding_institution_ids":["https://openalex.org/I141595442","https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80909981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9926000237464905,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9926000237464905,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9922999739646912,"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/T10320","display_name":"Neural Networks and Applications","score":0.9904000163078308,"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/computer-science","display_name":"Computer science","score":0.8439618349075317},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.6551254987716675},{"id":"https://openalex.org/keywords/replication","display_name":"Replication (statistics)","score":0.6090022325515747},{"id":"https://openalex.org/keywords/nosql","display_name":"NoSQL","score":0.5555562376976013},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.49618014693260193},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4683833718299866},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.46735548973083496},{"id":"https://openalex.org/keywords/distributed-design-patterns","display_name":"Distributed design patterns","score":0.44737565517425537},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.4289765954017639},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.33254724740982056},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33241623640060425},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.2750985324382782}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8439618349075317},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.6551254987716675},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.6090022325515747},{"id":"https://openalex.org/C2779599972","wikidata":"https://www.wikidata.org/wiki/Q82231","display_name":"NoSQL","level":3,"score":0.5555562376976013},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.49618014693260193},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4683833718299866},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.46735548973083496},{"id":"https://openalex.org/C42112101","wikidata":"https://www.wikidata.org/wiki/Q5283146","display_name":"Distributed design patterns","level":3,"score":0.44737565517425537},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.4289765954017639},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.33254724740982056},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33241623640060425},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.2750985324382782},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ecai.2016.7861161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecai.2016.7861161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1542418432","https://openalex.org/W1593249691","https://openalex.org/W2163598528","https://openalex.org/W2407692855","https://openalex.org/W2766736793","https://openalex.org/W2790326132","https://openalex.org/W4321844731","https://openalex.org/W6632591069","https://openalex.org/W6682610290"],"related_works":["https://openalex.org/W2621972978","https://openalex.org/W4385834214","https://openalex.org/W3129344858","https://openalex.org/W3001928035","https://openalex.org/W2791661407","https://openalex.org/W4320802139","https://openalex.org/W4301431331","https://openalex.org/W2588045195","https://openalex.org/W2957025774","https://openalex.org/W2889462242"],"abstract_inverted_index":{"The":[0,89,102,115,125,151,200],"process":[1,56],"of":[2,21,34,57,117,166,203,213,218,239,249],"knowledge":[3,12],"discovery":[4],"applied":[5],"in":[6,18,41,106,170,220],"distributed":[7,22,69,135,144,149,172,247],"databases":[8],"implies":[9],"finding":[10],"useful":[11,259],"from":[13,121],"mining":[14,137,143],"data":[15,39,50,65,118,136,145],"sets":[16],"stored":[17,40],"real":[19,147],"implementations":[20],"databases.":[23,45,150],"Distributed":[24,160,205],"Databases":[25],"represents":[26],"a":[27,32,164,171,182],"software":[28],"system":[29,252],"that":[30],"allows":[31],"multitude":[33],"applications":[35],"to":[36,174,181,260],"access":[37],"the":[38,49,55,64,93,99,107,111,122,129,132,157,191,197,204,214,241,250],"local":[42],"or":[43],"remote":[44],"In":[46,186],"this":[47],"scenario,":[48],"distribution":[51,116],"is":[52,119,156,208,253],"achieved":[53],"through":[54],"replication.":[58,234],"Nowadays":[59],"many":[60],"solutions":[61],"for":[62,142],"storing":[63,75,78,97],"are":[66,163,258],"available:":[67],"relational":[68,100,148,221],"Database":[70],"Management":[71],"Systems":[72],"(DBMS),":[73],"NoSQL":[74],"solutions,":[76,79],"NewSQL":[77],"graph":[80],"oriented":[81,84],"databases,":[82,85,87],"object":[83],"object-relational":[86],"etc.":[88,273],"present":[90,126],"study":[91],"analyzes":[92],"most":[94,133,215],"commonly":[95],"used":[96,105,190,216],"solution:":[98],"model.":[101],"replication":[103,219],"topology":[104],"related":[108],"experiments":[109,188],"was":[110],"classical":[112,192],"publisher-subscriber":[113],"topology.":[114],"made":[120],"publisher":[123],"system.":[124],"work":[127],"studies":[128],"interaction":[130],"between":[131],"suited":[134],"architecture":[138],"(Distributed":[139],"Committee":[140,161,206],"Machines)":[141],"and":[146,229,246],"chosen":[152],"Data":[153],"Mining":[154],"task":[155],"classification":[158,178],"one.":[159],"Machines":[162],"group":[165],"neuronal":[167],"networks":[168],"working":[169],"procedure":[173],"obtain":[175],"an":[176],"improved":[177],"performance":[179,202],"compared":[180],"single":[183],"neural":[184],"structure.":[185],"these":[187,237],"we":[189],"multilayer":[193],"perceptron":[194],"trained":[195],"with":[196,231],"backpropagation":[198],"algorithm.":[199],"execution":[201,242],"Machine":[207],"analyzed,":[209],"based":[210],"on":[211],"some":[212],"types":[217,238],"databases:":[222],"snapshot":[223],"replication,":[224,226,228],"merge":[225],"transactional":[227,230],"queued":[232],"updating":[233],"For":[235],"all":[236],"replications":[240],"performances":[243],"(distributed":[244],"speedup":[245],"efficiency)":[248],"entire":[251],"also":[254],"analyzed.":[255],"These":[256],"results":[257],"numerous":[261],"research":[262],"fields:":[263],"adaptive":[264],"e-learning":[265],"applications,":[266],"medical":[267],"diagnosis,":[268],"artificial":[269],"intelligence,":[270],"business":[271],"management,":[272]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}