{"id":"https://openalex.org/W3029344712","doi":"https://doi.org/10.1186/s40537-020-00306-9","title":"On K-means clustering-based approach for DDBSs design","display_name":"On K-means clustering-based approach for DDBSs design","publication_year":2020,"publication_date":"2020-05-11","ids":{"openalex":"https://openalex.org/W3029344712","doi":"https://doi.org/10.1186/s40537-020-00306-9","mag":"3029344712"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-020-00306-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00306-9","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00306-9","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00306-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012051024","display_name":"Ali A. Amer","orcid":"https://orcid.org/0000-0002-2002-948X"},"institutions":[{"id":"https://openalex.org/I36197038","display_name":"Taiz University","ror":"https://ror.org/03jwcxq96","country_code":"YE","type":"education","lineage":["https://openalex.org/I36197038"]}],"countries":["YE"],"is_corresponding":true,"raw_author_name":"Ali A. Amer","raw_affiliation_strings":["College of Science, Computer Science Department, Taiz University, Taiz, 6803, Yemen"],"raw_orcid":"https://orcid.org/0000-0002-2002-948X","affiliations":[{"raw_affiliation_string":"College of Science, Computer Science Department, Taiz University, Taiz, 6803, Yemen","institution_ids":["https://openalex.org/I36197038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5012051024"],"corresponding_institution_ids":["https://openalex.org/I36197038"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":5.2888,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.95933622,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9987999796867371,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9921000003814697,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8734831809997559},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6409558653831482},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5296986699104309},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.49656134843826294},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.478866308927536},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43043118715286255},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3885253667831421},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2582956552505493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2058255672454834}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8734831809997559},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6409558653831482},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5296986699104309},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.49656134843826294},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.478866308927536},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43043118715286255},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3885253667831421},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2582956552505493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2058255672454834},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-020-00306-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00306-9","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00306-9","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8091437f1da74d4d9a870e08a415f434","is_oa":true,"landing_page_url":"https://doaj.org/article/8091437f1da74d4d9a870e08a415f434","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 7, Iss 1, Pp 1-31 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-020-00306-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00306-9","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00306-9","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3029344712.pdf","grobid_xml":"https://content.openalex.org/works/W3029344712.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1575426398","https://openalex.org/W1971784203","https://openalex.org/W1980073965","https://openalex.org/W2049758109","https://openalex.org/W2065980106","https://openalex.org/W2154137957","https://openalex.org/W2319660501","https://openalex.org/W2342204193","https://openalex.org/W2492493479","https://openalex.org/W2582624916","https://openalex.org/W2765225092","https://openalex.org/W2770682400","https://openalex.org/W2772327093","https://openalex.org/W2781604288","https://openalex.org/W2790540028","https://openalex.org/W2892682354","https://openalex.org/W2902244984","https://openalex.org/W2904043939","https://openalex.org/W2906276708","https://openalex.org/W2921706489","https://openalex.org/W2941789881","https://openalex.org/W2990772688","https://openalex.org/W2999302483","https://openalex.org/W3046806020","https://openalex.org/W3163743076"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W4294565801","https://openalex.org/W2142306706"],"abstract_inverted_index":{"Abstract":[0],"In":[1,96],"Distributed":[2],"Database":[3],"Systems":[4],"(DDBS),":[5],"communication":[6,26],"costs":[7,27],"and":[8,35,107,145],"response":[9],"time":[10],"have":[11,62],"long":[12],"been":[13,63,149,168],"open-ended":[14],"challenges.":[15],"Nevertheless,":[16],"when":[17],"DDBS":[18,70,117],"is":[19,109,113],"carefully":[20],"designed,":[21],"the":[22,42,56,66,90,120,153,156,164],"desired":[23],"reduction":[24],"in":[25,45,65,128],"will":[28],"be":[29],"achieved.":[30],"Data":[31],"fragmentation":[32,106],"(data":[33],"clustering)":[34],"data":[36,77],"allocation":[37,108],"are":[38,125],"on":[39,52,55,116,142],"popularity":[40],"as":[41,163],"prime":[43],"strategies":[44],"constant":[46],"use":[47],"to":[48,68,131,151],"design":[49,60,118],"DDBS.":[50],"Based":[51],"these":[53],"strategies,":[54],"other":[57],"hand,":[58],"several":[59],"techniques":[61,124],"presented":[64],"literature":[67],"improve":[69],"performance":[71],"using":[72],"either":[73],"empirical":[74],"results":[75,166],"or":[76,84],"statistics,":[78],"making":[79],"most":[80],"of":[81,93,155],"them":[82],"imperfect":[83],"invalid":[85],"particularly,":[86],"at":[87,89,119],"least,":[88],"initial":[91,121],"stage":[92],"DDBSs":[94],"design.":[95],"this":[97],"paper,":[98],"thus,":[99],"a":[100,129,133],"heuristic":[101],"k-means":[102],"approach":[103,112],"for":[104],"vertical":[105],"introduced.":[110],"This":[111],"primarily":[114],"focused":[115],"stage.":[122],"Many":[123],"being":[126],"joined":[127],"step":[130],"make":[132],"promising":[134],"work.":[135],"A":[136],"brief":[137],"yet":[138],"effective":[139],"experimental":[140],"study,":[141],"both":[143],"artificially-created":[144],"real":[146],"datasets,":[147],"has":[148,167],"conducted":[150],"demonstrate":[152],"optimality":[154],"proposed":[157],"approach,":[158],"comparing":[159],"with":[160],"its":[161],"counterparts,":[162],"obtained":[165],"shown":[169],"encouraging.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
