{“id”:“https://openalex.org/W1924137“,”doi“:”https://doi.org/10.1007/978-3-642-28894-4_13“,”title“:”汇总并检测多个数据流中的结构偏移“,”display_name“:”从多个数据源中汇总并检测结构性偏移“,“publication_year”:2012,“publiation_date”:“2012-09-06”,“ids”:{“openalex”:“https://openalex.org/W1924137“,”doi“:”https://doi.org/10.1007/978-3-642-28894-4_13“,”mag“:”1924137“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3-642-28894-4_13“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4210194094“,”“display_name”“:”分类、数据分析和知识组织研究“,”issn_l“:”1431-8814“,”isn“:[”1431-7814“,“2198-3321”“],”is_oa“:false,”is_ in_doaj“:false,”is_core“:true,”host_organization“:”https://openalex.org/P431031965“,”“host_organization_name”:“Springer Nature”,“host_organization_lineage”:[“https://openalex.org/P431031965“],”host_organization_lineage_names“:[”Springer Nature“],“type”:“book-series”},“license”:null,“licence_id”:null,“version”:null,“is_accepted”:false,“is_published”:false},”type“:”book-chapter“,”type_crossref“:“book-chapter”,“indexed_in”:[”crossref“],,“any_repository_has_fulltext”:假},“authorships“:[{”author_position“:”first“,”author“:{”id“:”https://openalex.org/A5027172604“,”display_name“:”Antonio Balzanella“,”orcid“:”https://orcid.org/0000-0001-8370-6006},“机构”:[{“id”:https://openalex.org/I197809005“,”display_name“:”坎帕尼亚大学“Luigi Vanvitelli”“,”ror“:”https://ror.org/02kqnpp86“,”country_code“:”IT“,”type“:“教育”,”世系“:[”https://openalex.org/I197809005“]}],”国家“:[”IT“],”is_corresponding“:false,”raw_author_name“:”Antonio Balzanella“,”raw _affiliation_strings“:[“那不勒斯第二大学”],”affiliations“:[{”raw _affiliation_string“:”那不勒斯二大学“,”institution_ids“:[https://openalex.org/I197809005“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5058021214“,”display_name“:”Rosanna Verde“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I197809005“,”display_name“:”坎帕尼亚大学“Luigi Vanvitelli”“,”ror“:”https://ror.org/02kqnpp86“,”country_code“:”IT“,”type“:“教育”,”世系“:[”https://openalex.org/I197809005“]}],”国家“:[”IT“],”is_corresponding“:false,”raw_author_name“:”Rosanna Verde“,”raw _affiliation_strings“:[“那不勒斯第二大学”],”affiliations“:[{”raw _affiliation_string“:”那不勒斯二大学“,”institution_ids“:[https://openalex.org/I197809005“]}]}],”countries_distinct_count“:1,”institutions_disting_count”:1,“corresponding_author_ids”:[],”correspounding_institution_ids“:[]、”apc_list“:null,”apc_payd“:null,”fwci“:0.343,”has_fulltext“:false,”cited_by_count:null,“first_page”:“105”,“last_page”:“112”},“is_retracted“:false,”is_paratext“:fase,”primary_topic“:{”id“:”https://openalex.org/T12761“,”display_name“:”适应数据流中的概念漂移“,”score“:0.9999,”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/T12761“,”display_name“:”适应数据流中的概念漂移“,”score“:0.9999,”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/T11512“,”“display_name”:“高维数据中的异常检测”,“score”:0.9964,“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/T12205“,”“display_name”:“时间序列数据和算法的聚类”,“score”:0.996,“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“:”Physical Sciences“}}],”keywords“:[{”id“:”https://openalex.org/keywords/data-streams网站“,”display_name“:”数据流“,”score“:0.621613},{”id“:”https://openalex.org/keywords/change-detection网站“,”display_name“:”更改检测“,”score“:0.577957},{”id“:”https://openalex.org/keywords/streaming-data网站“,”display_name“:”流数据“,”score“:0.519898},{”id“:”https://openalex.org/keywords/clustering网站“,”display_name“:”Clustering“,”score“:0.517083},{”id“:”https://openalex.org/keywords/pattern-discovery网站“,”display_name“:”Pattern Discovery“,”score“:0.513969}],”concepts“:[{”id“:”https://openalex.org/C89198739,“wikidata”:https://www.wikidata.org/wiki/Q3079880“,”display_name“:”数据流挖掘“,”level“:2,”score“:0.88493186},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.77176017},{”id“:”https://openalex.org/C60777511,“wikidata”:https://www.wikidata.org/wiki/Q3045002“,”display_name“:”概念漂移“,”level“:3,”score“:0.7278831},{”id“:”https://openalex.org/C126042441,“wikidata”:https://www.wikidata.org/wiki/Q1324888“,”display_name“:”Frame(networking)“,”level“:2,”score“:0.6366867},{”id“:”https://openalex.org/C98045186,“wikidata”:https://www.wikidata.org/wiki/Q205663“,”display_name“:”Process(computing)“,”level“:2,”score“:0.6134048},{”id“:”https://openalex.org/C2777611316,“wikidata”:https://www.wikidata.org/wiki/Q39045282“,”display_name“:”流数据“,”level“:2,”score“:0.5987476},{”id“:”https://openalex.org/C124101348,“wikidata”:https://www.wikidata.org/wiki/Q172491“,”display_name“:”数据挖掘“,”level“:1,”score“:0.59821594},{”id“:”https://openalex.org/C2778484313,“wikidata”:https://www.wikidata.org/wiki/Q1172540“,”display_name“:”数据流“,”level“:2,”score“:0.5424375},{”id“:”https://openalex.org/C42090638,“wikidata”:https://www.wikidata.org/wiki/Q4048907“,”display_name“:”STREAMS“,”level“:2,”score“:0.53520375},{”id“:”https://openalex.org/C2780451532,“wikidata”:https://www.wikidata.org/wiki/Q759676“,”display_name“:”Task(project management)“,”level“:2,”score“:0.534244},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.360694},{”id“:”https://openalex.org/C119857082,“wikidata”:https://www.wikidata.org/wiki/Q2539“,”display_name“:”机器学习“,”level“:1,”score“:0.32862833},{”id“:”https://openalex.org/C127413603,“wikidata”:https://www.wikidata.org/wiki/Q11023“,”display_name“:”Engineering“,”level“:0,”score“:0.11031449},{”id“:”https://openalex.org/C31258907,“wikidata”:https://www.wikidata.org/wiki/Q1301371“,”display_name“:”计算机网络“,”level“:1,”score“:0.05574885},{”id“:”https://openalex.org/C76155785,“wikidata”:https://www.wikidata.org/wiki/Q418“,”display_name“:”Telecommunications“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C201995342,“wikidata”:https://www.wikidata.org/wiki/Q682496“,”display_name“:”系统工程“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C111919701,“wikidata”:https://www.wikidata.org/wiki/Q9135“,”display_name“:”操作系统“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:1.”locations“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3-642-28894-4_13“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4210194094“,”“display_name”“:”分类、数据分析和知识组织研究“,”issn_l“:”1431-8814“,”isn“:[”1431-7814“,“2198-3321”“],”is_oa“:false,”is_ in_doaj“:false,”is_core“:true,”host_organization“:”https://openalex.org/P431031965“,”“host_organization_name”:“Springer Nature”,“host_organization_lineage”:[“https://openalex.org/P431031965“],”host_organization_lineage_names“:[”Springer Nature“],“type”:“book series”},“license”:null,“licence_id”:null,“version”:null,“is_accepted”:false,“is_published”:false}],“best_oa_location”:nul,“sustainable_development_goals”:[],“grants”:[],“datasets”:【】,“versions”:【],“referenced_works_count”:5,“referrenced_works”:https://openalex.org/W1513660623","https://openalex.org/W2108323654","https://openalex.org/W4210293162","https://openalex.org/W4237444738","https://openalex.org/W4285719527“],”related_works“:[”https://openalex.org/W4285492980","https://openalex.org/W4246591448","https://openalex.org/W4212846128","https://openalex.org/W2886602077","https://openalex.org/W2574092225","https://openalex.org/W2545008743","https://openalex.org/W2354236636","https://openalex.org/W2189036516","https://openalex.org/W2069446265","https://openalex.org/W1485530964“],”ngrams_url“:”https://api.openalex.org/works/W1924137/ngrams网站“,”abstract_inverted_index“:{”AbstractIn“:[0],”最近“:[1],”年份“:[2],”the“:[3,18,21,65,7119126132],”分析“:[4],”of“:[5,12,20,23,29],”data“:[6,53,85],”streams“:[7,44],”has“:[8],”received“:[9],”a“:[10,55,55,90],”lot“:[11],”attention.“:[13],”This“:[14121],”是“:[15,54,73,95123],”动机“:[16],”由“:[17114118],”增加“:[19],”数量“:[22],”应用程序“:[24],”其中“:[25],”生成“:[26],”巨大“:[27],”数量“:[28],”高“:[30],”速度“:[31],”暂时“:[32],”数据。“:[33],”Let“:[34],”us“:[35],”think“:[36],”to“:[37,74,77],”sensor“:[38],”networks“:[39,41],”computer“:%40],”manufactures。“:[42],”数据“:[43104],”are“:[45],”通常“:[46],”高度“:[47],”进化“:[48],”因此“:[49],”挖掘“:[50],”变化“:[51,79],”in“:[52,80],”挑战“:[56],”任务。“:[57],”In“:[58],”this“:[59],”paper“:[60],”we“:[61],”will“:[62,88],”deal“:[63],”with“:/64],”structural“:[66],”drift“:[67],”检测“:[68],”problem“:[69],:[82],“中间”:[83],“多个”:[84],“流”。“:[86],“我们”:[87],“引入”:[89],“新”:[91],“战略”:[92],“谁的”:[93],“有效性”:[94],“显示的”:/96],“通过”:[97],“an”:[98],“应用程序”:[99],“on”:[100],“模拟的”:[101],“数据”。关键词Structural“:[102],”DriftMultiple“:[103],”StreamsRelative“:[105],”ProximityConcept“:[106],”Drift“:[107],”DetectionTime“:[108],”Frame“:[109],”SchemeThes“:[110],”keywords“:[11127],”were“:[112],”added“:[113],”machine“:+115],”not“:+117],”authors。“:[120],”过程“:[122],”实验“:[124],”可能“:[128],”被“:[129],”更新“:[130],”作为“:[131],”学习“:[133],”算法“:[134],”改进。“:[135]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W1924137“,”counts_by_year“:[{“年份”:2021,”cited_by_count“:1},{“年度”:2016,”cited_by_count”:1}.,{”year“:2015,”citecd_by_count“:1}],”updated_date“:”2024-06-30T03:19:24.265204“,”created_date:“2016-06-24”}