iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.1587/TRANSINF.E97.D.1349
{"id":"https://openalex.org/W2044867592","doi":"https://doi.org/10.1587/transinf.e97.d.1349","title":"Fast Density-Based Clustering Using Graphics Processing Units","display_name":"Fast Density-Based Clustering Using Graphics Processing Units","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2044867592","doi":"https://doi.org/10.1587/transinf.e97.d.1349","mag":"2044867592"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.e97.d.1349","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E97.D/5/E97.D_1349/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E97.D/5/E97.D_1349/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086490576","display_name":"Woong-Kee Loh","orcid":"https://orcid.org/0000-0002-3161-6479"},"institutions":[{"id":"https://openalex.org/I4210117332","display_name":"Sungkyul University","ror":"https://ror.org/02dzzka09","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210117332"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woong-Kee LOH","raw_affiliation_strings":["Department of Multimedia, Sungkyul University"],"affiliations":[{"raw_affiliation_string":"Department of Multimedia, Sungkyul University","institution_ids":["https://openalex.org/I4210117332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101402186","display_name":"Yang\u2010Sae Moon","orcid":"https://orcid.org/0000-0002-2396-0405"},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yang-Sae MOON","raw_affiliation_strings":["Department of Computer Science, Kangwon National University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kangwon National University","institution_ids":["https://openalex.org/I165507594"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100650748","display_name":"Young\u2010Ho Park","orcid":"https://orcid.org/0000-0002-5284-9589"},"institutions":[{"id":"https://openalex.org/I31766871","display_name":"Sookmyung Women's University","ror":"https://ror.org/00vvvt117","country_code":"KR","type":"education","lineage":["https://openalex.org/I31766871"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Ho PARK","raw_affiliation_strings":["Department of Multimedia Science, Sookmyung Women's University"],"affiliations":[{"raw_affiliation_string":"Department of Multimedia Science, Sookmyung Women's University","institution_ids":["https://openalex.org/I31766871"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.663,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":6,"citation_normalized_percentile":{"value":0.730334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":82,"max":83},"biblio":{"volume":"E97.D","issue":"5","first_page":"1349","last_page":"1352"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Data Clustering Techniques and Algorithms","score":0.9993,"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":"Data Clustering Techniques and Algorithms","score":0.9993,"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":"Trajectory Data Mining and Analysis","score":0.9983,"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/T10627","display_name":"Image Feature Retrieval and Recognition Techniques","score":0.996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.704299},{"id":"https://openalex.org/keywords/density-based-clustering","display_name":"Density-based Clustering","score":0.658443},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy Clustering","score":0.602398},{"id":"https://openalex.org/keywords/semi-supervised-clustering","display_name":"Semi-supervised Clustering","score":0.595557},{"id":"https://openalex.org/keywords/clustering-algorithms","display_name":"Clustering Algorithms","score":0.582983},{"id":"https://openalex.org/keywords/stream-data-clustering","display_name":"Stream Data Clustering","score":0.568282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.90060925},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.8198239},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.73045754},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.704299},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5950804},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.57054794},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.50168633},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.49769738},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.48905978},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4233607},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.39476615},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28652865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2671312},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.17325678},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.13802591},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.e97.d.1349","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E97.D/5/E97.D_1349/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.e97.d.1349","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E97.D/5/E97.D_1349/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":6,"referenced_works":["https://openalex.org/W1660133578","https://openalex.org/W1673310716","https://openalex.org/W1977512185","https://openalex.org/W2028001415","https://openalex.org/W2099205848","https://openalex.org/W2160642098"],"related_works":["https://openalex.org/W3048701459","https://openalex.org/W2792081825","https://openalex.org/W240129890","https://openalex.org/W2389600408","https://openalex.org/W2370314112","https://openalex.org/W2364044215","https://openalex.org/W2149078538","https://openalex.org/W2080146221","https://openalex.org/W1963859303","https://openalex.org/W1912958759"],"abstract_inverted_index":{"Due":[0],"to":[1,23,76],"the":[2,24,36,51],"recent":[3],"technical":[4],"advances,":[5],"GPUs":[6],"are":[7],"used":[8],"for":[9],"general":[10],"applications":[11],"as":[12,14],"well":[13],"screen":[15],"display.":[16],"Many":[17],"research":[18],"results":[19],"have":[20],"been":[21],"proposed":[22],"performance":[25],"of":[26,53,64],"previous":[27],"CPU-based":[28],"algorithms":[29],"by":[30,74],"a":[31,43,58,62],"few":[32],"hundred":[33],"times":[34],"using":[35,57],"GPUs.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"propose":[42],"density-based":[44],"clustering":[45],"algorithm":[46],"called":[47],"GSCAN,":[48],"which":[49],"reduces":[50],"number":[52],"unnecessary":[54],"distance":[55],"computations":[56],"grid":[59],"structure.":[60],"As":[61],"result":[63],"our":[65],"experiments,":[66],"GSCAN":[67],"outperformed":[68],"CUDA-DClust":[69],"[2]":[70],"and":[71,78],"DBSCAN":[72],"[3]":[73],"up":[75],"13.9":[77],"32.6":[79],"times,":[80],"respectively.":[81]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2044867592","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2024-11-21T03:52:29.097662","created_date":"2016-06-24"}