{“id”:“https://openalex.org/W2126994539“,”doi“:”https://doi.org/10.1007/978-3-642-45062-4_31“,”title“:”任意形状挖掘聚类的基于距离的增量聚类“,”display_name“:”基于距离的任意形状挖掘簇的增量聚类”,“publication_year”:2013,“publiation_date”:“2013-01-01”,“ids”:{“openalex”:“https://openalex.org/W2126994539“,”doi“:”https://doi.org/10.1007/978-3642-45062-4_31“,”mag“:”2126994539“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1007/978-3642-45062-4_31,“pdf_url”:https://link.springer.com/content/pdf/10.1007%2F978-3-642-45062-4_31.pdf“,”源“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310318900“,”host_organization_name“:”施普林格科学+商业媒体“,”host_organization_lineage“:[”https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book-series”},“license”:null,“licence_id”:nul,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true},”type“:”book-chapter“,”type_crossref“:美国“:”铜牌“,”oaurl“:”https://link.springer.com/content/pdf/10.1007%2F978-3-642-45062-4_31.pdf“,”any_repository_has_fulltext“:false},”作者身份“:[{”作者位置“:”第一个“,”作者“:{”id“:”https://openalex.org/A5042254428“,”display_name“:”Binoy Krishna Patra“,”orcid“:”https://orcid.org/0000-0003-012-4285},“机构”:[{“id”:https://openalex.org/I87653560“,”display_name“:”芬兰VTT技术研究中心“,”ror“:”https://ror.org/04b181w54“,”country_code“:”FI“,”type“:”非营利“,”沿袭“:[”https://openalex.org/I4210089493","https://openalex.org/I87653560“]},{”id“:”https://openalex.org/I16292982“,”display_name“:”Rourkela国立理工学院“,”ror“:”https://ror.org/011gmn932“,”country_code“:”IN“,”type“:“教育”,”世系“:[”https://openalex.org/I16292982“]}],”国家“:[”FI“,”IN“],”is_corresponding“:false,”raw_author_name“:”Bidyut Kr.Patra“,”raw _affiliation_strings“:[“Rourkela,印度奥迪沙国立理工学院Rourkela”,“芬兰埃斯波VTT技术研究中心”]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5064049385“,”display_name“:”Ville Ollikainen“,”orcid“:”https://orcid.org/0000-0003-0627-6457},“机构”:[{“id”:https://openalex.org/I87653560“,”display_name“:”芬兰VTT技术研究中心“,”ror“:”https://ror.org/04b181w54“,”“country_code”“:”FI“,”type“:”非营利性“,”世袭“:[”https://openalex.org/I4210089493","https://openalex.org/I87653560“]}],”国家“:[”FI“],”is_corresponding“:false,”raw_author_name“:”Ollikainen Ville“,”raw _ afiliation_strings“:[“芬兰埃斯波VTT技术研究中心”]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5059690220“,”display_name“:”Raimo Launonen“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I87653560“,”display_name“:”芬兰VTT技术研究中心“,”ror“:”https://ror.org/04b181w54“,”country_code“:”FI“,”type“:”非营利“,”沿袭“:[”https://openalex.org/I4210089493","https://openalex.org/I87653560“]}],”国家“:[”FI“],”is_corresponding“:false,”raw_author_name“:”Raimo Launonen“,”raw _affiliation_strings“:[“芬兰埃斯波VTT技术研究中心”]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5053883070“,”display_name“:”Sukumar Nandi“,”orcid“:”https://orcid.org/0000-0002-5869-1057},“机构”:[{“id”:https://openalex.org/I1317621060“,”display_name“:”印度技术学院Guwahati“,”ror“:”https://ror.org/0022nd079“,”country_code“:”IN“,”type“:“教育”,”世系“:[”https://openalex.org/I1317621060“]}],”国家“:[”IN“],”is_corresponding“:false,”raw_author_name“:”Sukumar Nandi“,”raw _ afiliation_strings“:[“印度古瓦哈蒂印度理工学院”]},{“author_position”:“last”,“author”:{“id”:“https://openalex.org/A5011961429“,”display_name“:”Korra Sathya Babu“,”orcid“:”https://orcid.org/0000-0002-5963-5735},“机构”:[{“id”:https://openalex.org/I16292982“,”display_name“:”Rourkela国立理工学院“,”ror“:”https://ror.org/011gmn932“,”country_code“:”IN“,”type“:“教育”,”世系“:[”https://openalex.org/I16292982“]}],”国家“:[”IN“],”is_corresponding“:false,”raw_author_name“:”Korra Sathya Babu“,”raw _affiliation_strings“:[“Rourkela,印度奥迪沙国立理工学院Rourkela]”}],“countries _distict_count”:2,“institutions_disticnt_count”:3,“corresponding_author_ids”:[],“correcponding_institution_ids“:[]”,“apc_list”:{“value”:5000,“货币“:”EUR“,”value_usd“:5392,”provenance“:”doaj“},”apc_payed“:{”value“:5000,”currency“:”EUR“、”value_usd“:5391,”province“:”doaj“{,”has_fulltext“:true,”fulltext_origin“:”pdf“,”cited_by_count“:6,”citecd_by_percentile_year“:{”min“:84,”max“:85},“biblio”:{“volume”:null,“issue”:nul,“first_p”年龄“:”229“,”last_page“:”236“},”is_retracted“:false,”is_paratext“:false,”主主题“:{”id“:”https://openalex.org/T10637“,”“display_name”:“数据聚类技术与算法”,“score”:0.9993,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T10637“,”“display_name”:“数据聚类技术与算法”,“score”:0.9993,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T11106“,”display_name“:”轨迹数据挖掘与分析“,”score“:0.9971,”subfield“:{”id“:”https://openalex.org/subfields/1711“,”display_name“:”信号处理“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10538“,”“display_name”:“数据挖掘技术与应用”,“score”:0.9942,“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/density-based-clustering网站“,”display_name“:”基于密度的聚类“,”score“:0.60573},{”id“:”https://openalex.org/keywords/semi-supervised-clustering网站“,”display_name“:”半监督聚类“,”score“:0.584071},{”id“:”https://openalex.org/keywords/stream-data-clustering网站“,”display_name“:”流数据聚类“,”score“:0.55581},{”id“:”https://openalex.org/keywords/clustering-algorithms“,”display_name“:”聚类算法“,”score“:0.555478},{”id“:”https://openalex.org/keywords/fuzzy-clustering网站“,”display_name“:”模糊聚类“,”score“:0.550662}],”concepts“:[{”id“:”https://openalex.org/C73555534,“wikidata”:https://www.wikidata.org/wiki/Q622825“,”display_name“:”Cluster analysis“,”level“:2,”score“:0.9019584},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.83758926},{”id“:”https://openalex.org/C124101348,“wikidata”:https://www.wikidata.org/wiki/Q172491“,”display_name“:”数据挖掘“,”level“:1,”score“:0.66517377},{”id“:”https://openalex.org/C165696696,“wikidata”:https://www.wikidata.org/wiki/Q11287“,”display_name“:”Exploit“,”level“:2,”score“:0.595422},{”id“:”https://openalex.org/C94641424,“wikidata”:https://www.wikidata.org/wiki/Q5172845“,”display_name“:”相关聚类“,”level“:3,”score“:0.5465006},{”id“:”https://openalex.org/C33704608,“wikidata”:https://www.wikidata.org/wiki/Q5014717“,”display_name“:”CURE数据聚类算法“,”level“:4,”score“:0.5397481},{”id“:”https://openalex.org/C193143536,“wikidata”:https://www.wikidata.org/wiki/Q5227360“,”display_name“:”数据流聚类“,”level“:5,”score“:0.5118231},{”id“:”https://openalex.org/C164866538,“wikidata”:https://www.wikidata.org/wiki/Q367351“,”display_name“:”集群(航天器)“,”级别“:2,”分数“:0.4868464},{”id“:”https://openalex.org/C184509293,“wikidata”:https://www.wikidata.org/wiki/Q5136711“,”display_name“:”聚类高维数据“,”level“:3,”score“:0.44613627},{”id“:”https://openalex.org/C10407586,“wikidata”:https://www.wikidata.org/wiki/Q5033439“,”display_name“:”Canopy clustering algorithm“,”level“:4,”score“:0.44199547},{”id“:”https://openalex.org/C22648726,“wikidata”:https://www.wikidata.org/wiki/Q7523744“,”display_name“:”单链聚类“,”level“:5,”score“:0.43725646},{”id“:”https://openalex.org/C2777212361,“wikidata”:https://www.wikidata.org/wiki/Q5127848“,”display_name“:”类(哲学)“,”级别“:2,”分数“:0.4308647},{”id“:”https://openalex.org/C186767784,“wikidata”:https://www.wikidata.org/wiki/Q5162841“,”display_name“:”共识聚类“,”level“:5,”score“:0.41349798},{”id“:”https://openalex.org/C149872217,“wikidata”:https://www.wikidata.org/wiki/Q5265701“,”display_name“:”确定数据集中的簇数“,”level“:5,”score“:0.41075122},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.31492558},{”id“:”https://openalex.org/C38652104,“wikidata”:https://www.wikidata.org/wiki/Q3510521“,”display_name“:”计算机安全“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C199360897,“wikidata”:https://www.wikidata.org/wiki/Q9143“,”display_name“:”编程语言“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:1.”locations“:[{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1007/978-3642-45062-4_31,“pdf_url”:https://link.springer.com/content/pdf/10.1007%2F978-3-642-45062-4_31.pdf“,”源“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310318900“,”host_organization_name“:”施普林格科学+商业媒体“,”host_organization_lineage“:[”https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book-series”},“license”:null,“licence_id”:nul,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true},”best_oa_location“:{”is_oa“:true”,“landing_page_url”:“https://doi.org/10.1007/978-3642-45062-4_31,“pdf_url”:https://link.springer.com/content/pdf/10.1007%2F978-3-642-45062-4_31.pdf“,”源“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310318900“,”host_organization_name“:”施普林格科学+商业媒体“,”host_organization_lineage“:[”https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book-series”},“license”:null,“licence_id”:nul,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true},”sustainable_development_goals“:[],”grants“:【】,”dataset“:【],”versions“:【〕,”referenced_works_count“:12,”https://openalex.org/W1489108128","https://openalex.org/W1988796381","https://openalex.org/W2011430131","https://openalex.org/W2020365462","https://openalex.org/W2035408495","https://openalex.org/W2049940812","https://openalex.org/W2065179205","https://openalex.org/W2080068757","https://openalex.org/W2095897464","https://openalex.org/W2167929847","https://openalex.org/W4231375265","https://openalex.org/W4236128208“],”related_works“:[”https://openalex.org/W3186815950","https://openalex.org/W2770741777","https://openalex.org/W2590117803","https://openalex.org/W2559422900","https://openalex.org/W2389934482","https://openalex.org/W2202413591","https://openalex.org/W2188840951","https://openalex.org/W2171610853","https://openalex.org/W2111827030","https://openalex.org/W2038937869“],”ngrams_url“:”https://api.openalex.org/works/W2126994539/ngrams“,”abstract_inverted_index“:{”聚类“:[0],”已“:[1],”已“:[2,41],”已识别“:[3],”作为“:[4115143],”一个“:[516316],”of“:[6,16,16,29111121128153],”the“:[7,24,3010108112131146151154],”important“:[8,14119],”tasks“:[9],”in“:[10,52,83156],”data“:[11,57],”mining.“:[12],”one“,”:[13],“类”:[15],“聚类”:[17,32,38,61,75141],“是”:[18,91],“距离“:[19,35,72],”基于“:[20,36,73,92],”方法。“:[21148],”To“:[22149],”reduce“:[23],”计算“:[25],”and“:[26,59165],”storage“:[27],”burder“:[28],“classical”:[31],”methods,“:[33],”many“:[34],”hybrid“:[37],”方法“:[39,45],”have“:[40],”proposed。“:[42],”“然而,”:[43],“这些”:[44],“是”:[46],“不是”:[47],“适合”:[48],“用于”:[49],“集群”:[50],“分析”:[51],“动态”:[53,86],“环境”:[54],“其中”:[55],“底层”:[56],“分布”:[58],“后续”:[60],“结构”:[62],“更改”:[63],“超过”:[64],“时间。“:[65],”In“:[66107],”this“:[67],”paper“:[68],”we“:69117160],”propose“:[70],”a“:[71],”incremental“:[74109],”method“,”:[76,97],”which“:[77,98],”can“:[78,99137],”find“:[79],”任意“:[80],”shape“:[81],”clusters“:[82],”fast“:[84],”changing“:[85158],”场景。“:[87],“我们的”:[88],“提议的”:+89,95],“方法”:[90123136],“on”:[93],“最近的”:/94],“al-SL”:[96113122147],“成功的”:[100],“be”:[101],“应用的”:%102],“to”:[103124130],“大型”:[104],“静态”:[105],“数据集”。“:[106169],”版本“:[110],”(称为“:[114],”增量SL),“:[116],”利用“:[118],”特征“:[120],”句柄“:[125],”频繁“:[126],”更新“:[127],”模式“:[129],”给定“:[132],”数据集。“:[133],”The“:[134],”IncrementalSL“:[135155],”produce“:[138],”actually“:[139],”same“:[140],”results“:[142],”produced“:[144],”by“:[145],”show“:[150],”effectivity“:[152],”dynamical“:[157],”database“:[159],”tested“:161],”with“:-162],”synthetical“:164],”real“:[167],”world“:[168]},“cited_by_api_url”:“https://api.openalex.org/works?filter=cites:W2126994539“,”“counts_by_year”:[{“年份”:2022,”“cited_by_count”:1},{“年度”:2021,”“cited_by_cunt”:1},}“年份“:2019,”“cited_by_count”“:2},”“年份”“:2018,”“icted_by-count”“:1},,”“年度”“:2014,”“cuited_by_count“:1}],”“updated_date”:“2024-05-12T23:05:36.923305”,”“创建日期”:“2016-06-24”}