{"id":"https://openalex.org/W2183299856","doi":"https://doi.org/10.1201/b18050-16","title":"\u25fe Key Technologies for Big Data Stream Computing","display_name":"\u25fe Key Technologies for Big Data Stream Computing","publication_year":2015,"publication_date":"2015-02-23","ids":{"openalex":"https://openalex.org/W2183299856","doi":"https://doi.org/10.1201/b18050-16","mag":"2183299856"},"language":"en","primary_location":{"id":"doi:10.1201/b18050-16","is_oa":false,"landing_page_url":"https://doi.org/10.1201/b18050-16","pdf_url":null,"source":{"id":"https://openalex.org/S4210226731","display_name":"Big Data","issn_l":"2167-6461","issn":["2167-6461","2167-647X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320443","host_organization_name":"Mary Ann Liebert, Inc.","host_organization_lineage":["https://openalex.org/P4310320443"],"host_organization_lineage_names":["Mary Ann Liebert, Inc."],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data","raw_type":"book-chapter"},"type":"book-chapter","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/A5072915694","display_name":"Dawei Sun","orcid":"https://orcid.org/0000-0003-3137-6257"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"DAWEI SUN","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102854878","display_name":"Guangyan Zhang","orcid":"https://orcid.org/0000-0002-3480-5902"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"GUANGYAN ZHANG","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108050911","display_name":"Weimin Zheng","orcid":"https://orcid.org/0000-0002-4450-5428"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"WEIMIN ZHENG","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5087894632","display_name":"Keqin Li","orcid":"https://orcid.org/0000-0001-5224-4048"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"KEQIN LI","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5559,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.9505102,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"230","last_page":"251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9966999888420105,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9966999888420105,"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":"Data Management and Algorithms","score":0.9933000206947327,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9902999997138977,"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/key","display_name":"Key (lock)","score":0.7611435651779175},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6518584489822388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6244170069694519},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36270907521247864},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16526395082473755},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12493970990180969}],"concepts":[{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.7611435651779175},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6518584489822388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6244170069694519},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36270907521247864},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16526395082473755},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12493970990180969}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1201/b18050-16","is_oa":false,"landing_page_url":"https://doi.org/10.1201/b18050-16","pdf_url":null,"source":{"id":"https://openalex.org/S4210226731","display_name":"Big Data","issn_l":"2167-6461","issn":["2167-6461","2167-647X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320443","host_organization_name":"Mary Ann Liebert, Inc.","host_organization_lineage":["https://openalex.org/P4310320443"],"host_organization_lineage_names":["Mary Ann Liebert, Inc."],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W93445675","https://openalex.org/W131879087","https://openalex.org/W1571362062","https://openalex.org/W1587989274","https://openalex.org/W1884959966","https://openalex.org/W1973026225","https://openalex.org/W1974648336","https://openalex.org/W1976821017","https://openalex.org/W1984220394","https://openalex.org/W1992614040","https://openalex.org/W1993077300","https://openalex.org/W1999968379","https://openalex.org/W2013755306","https://openalex.org/W2020732464","https://openalex.org/W2067158573","https://openalex.org/W2071537834","https://openalex.org/W2082171780","https://openalex.org/W2091214390","https://openalex.org/W2119745055","https://openalex.org/W2123026934","https://openalex.org/W2128981355","https://openalex.org/W2131814102","https://openalex.org/W2133802856","https://openalex.org/W2135038323","https://openalex.org/W2141003391","https://openalex.org/W2150364988","https://openalex.org/W2171979797","https://openalex.org/W3144446105","https://openalex.org/W3168279752"],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2551093110","https://openalex.org/W2617449561","https://openalex.org/W4237919137","https://openalex.org/W3184179822","https://openalex.org/W3095362084","https://openalex.org/W2148016376"],"abstract_inverted_index":{"As":[0],"a":[1,117],"new":[2],"trend":[3],"for":[4,90],"data-intensive":[5],"computing,":[6,94],"real-time":[7,43],"stream":[8,21,50,60,69,84,93,133,156],"computing":[9,22,51,61,70,79,134,157],"is":[10,23],"gaining":[11],"signicant":[12],"attention":[13],"in":[14,42,47],"the":[15,82,87,120,125,147],"Big":[16,29,58,67,77,91,131,154],"Data":[17,30,59,68,78,92,132,155],"era.":[18],"In":[19],"theory,":[20],"an":[24],"eective":[25],"way":[26],"to":[27,54,64,76],"support":[28],"by":[31],"providing":[32],"extremely":[33],"low-latency":[34],"processing":[35,40],"tools":[36],"and":[37,62,86,95,108,123,143,150],"massively":[38],"parallel":[39],"architectures":[41],"data":[44,83,104],"analysis.":[45],"However,":[46],"most":[48],"existing":[49],"environments,":[52],"how":[53,63],"eciently":[55],"deal":[56],"with":[57],"build":[65],"ecient":[66],"systems":[71],"are":[72,111,158],"posing":[73],"great":[74],"challenges":[75,149],"research.":[80],"First,":[81],"graphs":[85],"system":[88,102],"architecture":[89],"some":[96,129],"related":[97],"key":[98],"technologies,":[99],"such":[100],"as":[101],"structure,":[103],"transmission,":[105],"application":[106],"interfaces,":[107],"high":[109],"availability,":[110],"systemically":[112],"researched.":[113],"en,":[114],"we":[115],"give":[116],"classication":[118],"of":[119,128,153],"latest":[121],"research":[122],"depict":[124],"development":[126],"status":[127],"popular":[130],"systems,":[135],"including":[136],"Twitter":[137],"Storm,":[138],"Yahoo!":[139],"S4,":[140],"Microso":[141,144],"TimeStream,":[142],"Naiad.":[145],"Finally,":[146],"potential":[148],"future":[151],"directions":[152],"discussed.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
