{"id":"https://openalex.org/W3031819424","doi":"https://doi.org/10.1145/3386415.3386964","title":"Study on Clustering Computing Methods of Big Data","display_name":"Study on Clustering Computing Methods of Big Data","publication_year":2019,"publication_date":"2019-12-06","ids":{"openalex":"https://openalex.org/W3031819424","doi":"https://doi.org/10.1145/3386415.3386964","mag":"3031819424"},"language":"en","primary_location":{"id":"doi:10.1145/3386415.3386964","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386415.3386964","pdf_url":null,"source":{"id":"https://openalex.org/S4306523750","display_name":"Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering","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/A5100398636","display_name":"Lijun Chen","orcid":"https://orcid.org/0000-0003-4185-6502"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijun Chen","raw_affiliation_strings":["Softwar Enginnering Department, South China Institute of Software, Engineering of Guang Zhou Universitity, guangzhou china"],"affiliations":[{"raw_affiliation_string":"Softwar Enginnering Department, South China Institute of Software, Engineering of Guang Zhou Universitity, guangzhou china","institution_ids":["https://openalex.org/I4210128818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054003507","display_name":"Zhengjun Pan","orcid":"https://orcid.org/0000-0002-2149-3508"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengjun Pan","raw_affiliation_strings":["Softwar Enginnering Department, South China Institute of Software, Engineering of Guang Zhou Universitity, guangzhou china"],"affiliations":[{"raw_affiliation_string":"Softwar Enginnering Department, South China Institute of Software, Engineering of Guang Zhou Universitity, guangzhou china","institution_ids":["https://openalex.org/I4210128818"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054356335","display_name":"Lina Yuan","orcid":"https://orcid.org/0000-0002-8060-9689"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Yuan","raw_affiliation_strings":["Softwar Enginnering Department, South China Institute of Software, Engineering of Guang Zhou Universitity, guangzhou china"],"affiliations":[{"raw_affiliation_string":"Softwar Enginnering Department, South China Institute of Software, Engineering of Guang Zhou Universitity, guangzhou china","institution_ids":["https://openalex.org/I4210128818"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100398636"],"corresponding_institution_ids":["https://openalex.org/I4210128818"],"apc_list":null,"apc_paid":null,"fwci":1.0341,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77122642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.979200005531311,"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":0.9330000281333923,"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/cluster-analysis","display_name":"Cluster analysis","score":0.9109235405921936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7315107583999634},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6890295743942261},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6322382688522339},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6251060962677002},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.598007321357727},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.5309469103813171},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.49912452697753906},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4902661144733429},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4811317026615143},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.4386459290981293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23078227043151855}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.9109235405921936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7315107583999634},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6890295743942261},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6322382688522339},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6251060962677002},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.598007321357727},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5309469103813171},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.49912452697753906},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4902661144733429},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4811317026615143},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.4386459290981293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23078227043151855}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3386415.3386964","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386415.3386964","pdf_url":null,"source":{"id":"https://openalex.org/S4306523750","display_name":"Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W79970639","https://openalex.org/W224934307","https://openalex.org/W1502782565","https://openalex.org/W1965563268","https://openalex.org/W2049852396","https://openalex.org/W2120751691","https://openalex.org/W2185136252","https://openalex.org/W2211004931","https://openalex.org/W2344252714","https://openalex.org/W2511483813","https://openalex.org/W2547255615","https://openalex.org/W2583764785","https://openalex.org/W2610514569","https://openalex.org/W2621325882","https://openalex.org/W2735941455","https://openalex.org/W2753555091","https://openalex.org/W2767493667","https://openalex.org/W2770503418","https://openalex.org/W2902881384"],"related_works":["https://openalex.org/W4301002638","https://openalex.org/W2371010743","https://openalex.org/W2163563073","https://openalex.org/W3088133960","https://openalex.org/W4253632195","https://openalex.org/W2393707058","https://openalex.org/W3186815950","https://openalex.org/W1987613674","https://openalex.org/W2590117803","https://openalex.org/W3124860551"],"abstract_inverted_index":{"In":[0,85],"the":[1,5,10,22,95,99,104,120,124,131],"past":[2],"few":[3],"years,":[4],"rapidly":[6],"developing":[7],"technology":[8,14,122],"in":[9,25],"field":[11],"of":[12,21,29,35,127,136],"information":[13],"is":[15,19,89],"\"big":[16],"data\".":[17],"Clustering":[18],"one":[20],"key":[23],"tasks":[24],"a":[26],"wide":[27],"range":[28],"areas":[30],"dealing":[31],"with":[32,149],"large":[33],"amounts":[34],"data.":[36,129],"This":[37],"survey":[38],"introduces":[39],"various":[40,59,137],"clustering":[41,107,140],"methods":[42,60],"used":[43,102],"for":[44,61],"effective":[45,62,112],"big":[46,63,105,128,138,151],"data":[47,64,100,106,139,152],"clustering.":[48,84,153],"Therefore,":[49],"this":[50],"review":[51],"paper":[52],"reviewed":[53],"15":[54],"research":[55,132],"papers,":[56],"which":[57],"proposed":[58,143],"clustering,":[65,69,72,75,78],"such":[66],"as":[67],"k-means":[68,70],"variant":[71],"fuzzy":[73],"c-means":[74,77],"possibility":[76],"collaborative":[79],"filtering":[80],"and":[81,103,134],"optimization":[82],"based":[83],"addition,":[86],"detailed":[87],"analysis":[88],"carried":[90],"out":[91],"by":[92],"referring":[93],"to":[94,117,123,144,147],"implementation":[96],"tools":[97],"used,":[98],"sets":[101],"framework":[108],"adopted.":[109],"Then,":[110],"an":[111],"solution":[113],"must":[114],"be":[115],"developed":[116],"go":[118],"beyond":[119],"existing":[121],"special":[125],"management":[126],"Finally,":[130],"problems":[133],"gaps":[135],"technologies":[141],"are":[142],"enable":[145],"researchers":[146],"start":[148],"better":[150]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
