{"id":"https://openalex.org/W2605483101","doi":"https://doi.org/10.22323/1.259.0019","title":"A Simple Methodology for Database Clustering","display_name":"A Simple Methodology for Database Clustering","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2605483101","doi":"https://doi.org/10.22323/1.259.0019","mag":"2605483101"},"language":"en","primary_location":{"id":"doi:10.22323/1.259.0019","doi":"https://doi.org/10.22323/1.259.0019","is_oa":true,"landing_page_url":"https://doi.org/10.22323/1.259.0019","pdf_url":"https://pos.sissa.it/259/019/pdf","source":{"id":"https://openalex.org/S7407088323","display_name":"International Conference on Computer Engineering and Networks (CENet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310317630","host_organization_name":"Sissa Medialab","host_organization_lineage":["https://openalex.org/P4310317630","https://openalex.org/P4310317748"],"host_organization_lineage_names":["Sissa Medialab","International School for Advanced Studies"],"type":"conference"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The 5th International Conference on Computer Engineering and Networks \u2014 PoS(CENet2015)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W2605483101"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://pos.sissa.it/259/019/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005624589","display_name":"Hao Tang","orcid":"https://orcid.org/0000-0002-6973-8121","observed_orcids":["https://orcid.org/0000-0002-6973-8121"]},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Tang","raw_affiliation_strings":["Guangdong University of Technology, Guangdong, 201503, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, Guangdong, 201503, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100682984","display_name":"Zhang Mei","orcid":"https://orcid.org/0000-0002-0594-0849","observed_orcids":["https://orcid.org/0000-0002-0594-0849"]},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Mei","raw_affiliation_strings":["Guangdong University of Technology, Guangdong, 201503, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, Guangdong, 201503, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.1744,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.30781952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"019","last_page":"019"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9922000169754028,"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":0.9922000169754028,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.002199999988079071,"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/T11106","display_name":"Data Management and Algorithms","score":0.0019000000320374966,"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/database-clustering","display_name":"database clustering","score":0.9950000047683716},{"id":"https://openalex.org/keywords/multi-database-mining","display_name":"multi-database mining","score":0.8659999966621399},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"hierarchical clustering","score":0.9789999723434448},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.906000018119812},{"id":"https://openalex.org/keywords/clustering-stability","display_name":"clustering stability","score":0.875},{"id":"https://openalex.org/keywords/time-complexity-reduction","display_name":"time complexity reduction","score":0.8159999847412109}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8420566320419312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7234017848968506},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6322810649871826},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.6108015179634094},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.6012508869171143},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5995767116546631},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.5350839495658875},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.5295140743255615},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4702319800853729},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.4566963315010071},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.44168925285339355},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4216204285621643},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3981301188468933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2736555337905884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2501515746116638},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16952332854270935},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.22323/1.259.0019","doi":"https://doi.org/10.22323/1.259.0019","is_oa":true,"landing_page_url":"https://doi.org/10.22323/1.259.0019","pdf_url":"https://pos.sissa.it/259/019/pdf","source":{"id":"https://openalex.org/S7407088323","display_name":"International Conference on Computer Engineering and Networks (CENet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310317630","host_organization_name":"Sissa Medialab","host_organization_lineage":["https://openalex.org/P4310317630","https://openalex.org/P4310317748"],"host_organization_lineage_names":["Sissa Medialab","International School for Advanced Studies"],"type":"conference"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The 5th International Conference on Computer Engineering and Networks \u2014 PoS(CENet2015)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.22323/1.259.0019","doi":"https://doi.org/10.22323/1.259.0019","is_oa":true,"landing_page_url":"https://doi.org/10.22323/1.259.0019","pdf_url":"https://pos.sissa.it/259/019/pdf","source":{"id":"https://openalex.org/S7407088323","display_name":"International Conference on Computer Engineering and Networks (CENet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310317630","host_organization_name":"Sissa Medialab","host_organization_lineage":["https://openalex.org/P4310317630","https://openalex.org/P4310317748"],"host_organization_lineage_names":["Sissa Medialab","International School for Advanced Studies"],"type":"conference"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The 5th International Conference on Computer Engineering and Networks \u2014 PoS(CENet2015)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2605483101.pdf","grobid_xml":"https://content.openalex.org/works/W2605483101.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1536327010","https://openalex.org/W1963640525","https://openalex.org/W2008499862","https://openalex.org/W2035959592","https://openalex.org/W2095700816","https://openalex.org/W2105138955","https://openalex.org/W2110373411","https://openalex.org/W2121677895","https://openalex.org/W2149888655","https://openalex.org/W2493109494","https://openalex.org/W4249787917"],"related_works":["https://openalex.org/W2167619656","https://openalex.org/W1963640525","https://openalex.org/W2389736080","https://openalex.org/W2065695353","https://openalex.org/W3114746411","https://openalex.org/W2031293887","https://openalex.org/W4235686190","https://openalex.org/W2342426232","https://openalex.org/W594135716","https://openalex.org/W202209444"],"abstract_inverted_index":{"Database":[0,82],"clustering":[1,12,43,65,70,95,128],"is":[2,25,80],"a":[3,19,41,87],"preprocess":[4],"technology":[5],"for":[6,10],"multi-database":[7],"mining.Existing":[8],"algorithms":[9,50],"database":[11,64],"are":[13],"successful":[14],"in":[15,30],"terms":[16],"of":[17,32,48,127,136],"having":[18],"cluster,":[20],"but":[21],"the":[22,33,62,99,106,112,116,120,137],"time":[23,53,77,132],"complexity":[24,133],"high":[26,52],"or":[27,44],"excessive":[28],"pursuit":[29],"respect":[31],"non-trivial":[34],"complete":[35],"clustering,":[36],"which":[37],"may":[38],"lead":[39],"to":[40,72,97,110],"bad":[42],"application-dependent.The":[45],"practical":[46],"application":[47],"these":[49],"have":[51],"instability":[54,74],"and":[55,75,91,119],"complexity.In":[56],"this":[57],"article,":[58],"we":[59],"put":[60],"forward":[61],"application-independent":[63],"methodology":[66,79],"by":[67],"using":[68],"hierarchical":[69,94],"method":[71,126],"avoid":[73],"reduce":[76],"complexity.This":[78],"called":[81],"Hierarchical":[83],"Clustering.We":[84],"firstly":[85],"construct":[86],"multi-objective":[88],"optimization":[89],"problem,":[90],"then":[92],"use":[93,105],"algorithm":[96],"find":[98],"optimal":[100],"cluster":[101],"structure":[102],"thought.We":[103],"also":[104,140],"cophenetic":[107],"correlation":[108],"coefficient":[109],"evaluate":[111],"best":[113],"cluster.Experiments":[114],"on":[115],"synthetic":[117],"databases":[118,122],"real-world":[121],"show":[123],"that":[124,135],"our":[125],"stability":[129],"features":[130],"lower":[131],"than":[134],"BestClassification":[138],"while":[139],"highlighting":[141],"strong":[142],"generalization":[143],"ability.":[144]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2017-04-28T00:00:00"}
