{"id":"https://openalex.org/W2791746273","doi":"https://doi.org/10.1080/17445760.2018.1446210","title":"Parallel and distributed clustering framework for big spatial data mining","display_name":"Parallel and distributed clustering framework for big spatial data mining","publication_year":2018,"publication_date":"2018-03-16","ids":{"openalex":"https://openalex.org/W2791746273","doi":"https://doi.org/10.1080/17445760.2018.1446210","mag":"2791746273"},"language":"en","primary_location":{"id":"doi:10.1080/17445760.2018.1446210","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17445760.2018.1446210","pdf_url":null,"source":{"id":"https://openalex.org/S85375271","display_name":"International Journal of Parallel Emergent and Distributed Systems","issn_l":"1744-5760","issn":["1744-5760","1744-5779"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Parallel, Emergent and Distributed Systems","raw_type":"journal-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/A5072731605","display_name":"Malika Bendechache","orcid":"https://orcid.org/0000-0003-0069-1860"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Malika Bendechache","raw_affiliation_strings":["Insight Centre for Data Analytics, University College Dublin , Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight Centre for Data Analytics, University College Dublin , Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107330920","display_name":"A-Kamel Tari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A-Kamel Tari","raw_affiliation_strings":["University A-Mira of Bejaia , Bejaia, Algeria"],"affiliations":[{"raw_affiliation_string":"University A-Mira of Bejaia , Bejaia, Algeria","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039829612","display_name":"Tahar Kechadi","orcid":"https://orcid.org/0000-0002-0176-6281"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"M-Tahar Kechadi","raw_affiliation_strings":["Insight Centre for Data Analytics, University College Dublin , Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight Centre for Data Analytics, University College Dublin , Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072731605"],"corresponding_institution_ids":["https://openalex.org/I100930933"],"apc_list":null,"apc_paid":null,"fwci":3.2153,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.93431433,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"34","issue":"6","first_page":"671","last_page":"689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9993000030517578,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9993000030517578,"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/T11106","display_name":"Data Management and Algorithms","score":0.9980999827384949,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8124090433120728},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8047464489936829},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7122894525527954},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6575974822044373},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5305355787277222},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5212817192077637},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5181849598884583},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3766750693321228},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21770796179771423}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8124090433120728},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8047464489936829},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7122894525527954},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6575974822044373},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5305355787277222},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5212817192077637},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5181849598884583},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3766750693321228},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21770796179771423},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/17445760.2018.1446210","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17445760.2018.1446210","pdf_url":null,"source":{"id":"https://openalex.org/S85375271","display_name":"International Journal of Parallel Emergent and Distributed Systems","issn_l":"1744-5760","issn":["1744-5760","1744-5779"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Parallel, Emergent and Distributed Systems","raw_type":"journal-article"},{"id":"pmh:oai:doras.dcu.ie:24626","is_oa":false,"landing_page_url":"http://doras.dcu.ie/24626/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401511","display_name":"Dublin City University Open Access Institutional Repository (Dublin City University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I42934936","host_organization_name":"Dublin City University","host_organization_lineage":["https://openalex.org/I42934936"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"  Bendechache, Malika ORCID: 0000-0003-0069-1860 &lt;https://orcid.org/0000-0003-0069-1860&gt;, Tari, A-Kamel and Kechadi, M-Tahar ORCID: 0000-0002-0176-6281 &lt;https://orcid.org/0000-0002-0176-6281&gt;  (2019) Parallel and distributed clustering framework for big spatial data mining.  International Journal of Parallel, Emergent and Distributed Systems, 34  (6).   pp. 671-689.  ISSN 1744-5760     ","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G2881606312","display_name":null,"funder_award_id":"SFI/12/RC/2289","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"}],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1525417996","https://openalex.org/W1540089290","https://openalex.org/W1542730177","https://openalex.org/W1547566968","https://openalex.org/W1548578223","https://openalex.org/W1597087655","https://openalex.org/W1964649293","https://openalex.org/W1996510517","https://openalex.org/W2002368650","https://openalex.org/W2008286666","https://openalex.org/W2040263621","https://openalex.org/W2078442433","https://openalex.org/W2081183584","https://openalex.org/W2086395077","https://openalex.org/W2095897464","https://openalex.org/W2121325443","https://openalex.org/W2131687179","https://openalex.org/W2140190241","https://openalex.org/W2150593711","https://openalex.org/W2152761983","https://openalex.org/W2164799852","https://openalex.org/W2214161217"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4244478748","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4296209631"],"abstract_inverted_index":{"Clustering":[0],"techniques":[1,37],"are":[2,139],"very":[3,18,40,182],"attractive":[4],"for":[5],"identifying":[6],"and":[7,29,52,59,64,79,86,89,109,114,141,151,158,165],"extracting":[8],"patterns":[9],"of":[10,32,100,187],"interests":[11],"from":[12],"datasets.":[13],"However,":[14],"their":[15],"application":[16],"to":[17,43,122,160],"large":[19],"spatial":[20],"datasets":[21],"presents":[22],"numerous":[23],"challenges":[24,47],"such":[25,92,132],"as":[26,93],"high-dimensionality,":[27],"heterogeneity,":[28],"high":[30],"complexity":[31],"some":[33],"algorithms.":[34],"Distributed":[35,65],"clustering":[36,66,162],"constitute":[38],"a":[39,61,75,133],"good":[41],"alternative":[42],"the":[44,115,119,136,144,171,188],"Big":[45,72],"Data":[46,73],"(e.g.,":[48],"Volume,":[49],"Variety,":[50],"Veracity,":[51],"Velocity).":[53],"In":[54],"this":[55],"paper,":[56],"we":[57],"developed":[58],"implemented":[60],"Dynamic":[62],"Parallel":[63],"(DPDC)":[67],"approach":[68,98,172],"that":[69,135,170],"can":[70],"analyse":[71],"within":[74],"reasonable":[76],"response":[77],"time":[78,150],"produce":[80],"accurate":[81,142],"results,":[82],"by":[83,184],"using":[84],"existing":[85],"current":[87],"computing":[88],"storage":[90],"infrastructure,":[91],"cloud":[94],"computing.":[95],"The":[96,103,126,167],"DPDC":[97,154],"consists":[99],"two":[101],"phases.":[102],"first":[104],"phase":[105,117,128],"is":[106,129,147],"fully":[107],"parallel":[108],"it":[110],"generates":[111],"local":[112,120],"clusters":[113,138],"second":[116],"aggregates":[118],"results":[121,168,177],"obtain":[123],"global":[124],"clusters.":[125],"aggregation":[127],"designed":[130],"in":[131,149],"way":[134],"final":[137],"compact":[140],"while":[143],"overall":[145],"process":[146],"efficient":[148],"memory":[152],"allocation.":[153],"was":[155],"thoroughly":[156],"tested":[157],"compared":[159],"well-known":[161],"algorithms":[163],"BIRCH":[164],"CURE.":[166],"show":[169],"not":[173],"only":[174],"produces":[175],"high-quality":[176],"but":[178],"also":[179],"scales":[180],"up":[181],"well":[183],"taking":[185],"advantage":[186],"Hadoop":[189],"MapReduce":[190],"paradigm":[191],"or":[192],"any":[193],"distributed":[194],"system.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
