{"id":"https://openalex.org/W2862118860","doi":"https://doi.org/10.1145/3210377.3210379","title":"Massive-scale Streaming Analytics","display_name":"Massive-scale Streaming Analytics","publication_year":2018,"publication_date":"2018-07-11","ids":{"openalex":"https://openalex.org/W2862118860","doi":"https://doi.org/10.1145/3210377.3210379","mag":"2862118860"},"language":"en","primary_location":{"id":"doi:10.1145/3210377.3210379","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3210377.3210379","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures","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/A5076610730","display_name":"David A. Bader","orcid":"https://orcid.org/0000-0002-7380-5876"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David A. Bader","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5076610730"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.1845,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54148554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9865999817848206,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8344746232032776},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6506237983703613},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5731995105743408},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5562159419059753},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.5374762415885925},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5103608965873718},{"id":"https://openalex.org/keywords/stochastic-block-model","display_name":"Stochastic block model","score":0.4756319522857666},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4470342695713043},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4468482732772827},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.41247954964637756},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.41146165132522583},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3655524253845215},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.3458123803138733},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29284724593162537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2509317994117737},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14129984378814697},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.12022116780281067},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11665886640548706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8344746232032776},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6506237983703613},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5731995105743408},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5562159419059753},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.5374762415885925},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5103608965873718},{"id":"https://openalex.org/C2779982251","wikidata":"https://www.wikidata.org/wiki/Q25053762","display_name":"Stochastic block model","level":3,"score":0.4756319522857666},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4470342695713043},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4468482732772827},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.41247954964637756},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.41146165132522583},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3655524253845215},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.3458123803138733},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29284724593162537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2509317994117737},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14129984378814697},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.12022116780281067},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11665886640548706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3210377.3210379","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3210377.3210379","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2154222238","https://openalex.org/W2106626222","https://openalex.org/W2980866815","https://openalex.org/W1562405179","https://openalex.org/W2125493559","https://openalex.org/W1544909909","https://openalex.org/W2998027180","https://openalex.org/W3047401112","https://openalex.org/W2982418772","https://openalex.org/W2472472130"],"abstract_inverted_index":{"Emerging":[0],"real-world":[1,71,224],"graph":[2,130,140,159,187,192,221],"problems":[3,39,72],"include:":[4],"detecting":[5],"and":[6,19,34,50,64,77,85,102,115,122,150,216,234],"preventing":[7],"disease":[8],"in":[9,15,31,54,88,104,110,223],"human":[10],"populations;":[11],"revealing":[12],"community":[13],"structure":[14],"large":[16],"social":[17,38,111],"networks;":[18],"improving":[20],"the":[21,24,48,55,57,83,89,100,158,165,181,190],"resilience":[22],"of":[23,47,52,66,147,157,174,189,196,201,209],"electric":[25],"power":[26],"grid.":[27],"Unlike":[28],"traditional":[29],"applications":[30,109],"computational":[32],"science":[33],"engineering,":[35],"solving":[36,69],"these":[37,70],"at":[40],"scale":[41],"often":[42],"raises":[43],"new":[44],"challenges":[45,103],"because":[46],"sparsity":[49],"lack":[51],"locality":[53],"data,":[56],"need":[58],"for":[59,68,78,108,129,185,206],"research":[60],"on":[61,73,118,132,164],"scalable":[62],"algorithms":[63,161],"development":[65],"frameworks":[67],"high":[74],"performance":[75],"computers,":[76],"improved":[79],"models":[80],"that":[81],"capture":[82],"noise":[84],"bias":[86],"inherent":[87],"torrential":[90],"data":[91,167],"streams.":[92],"Highlighting":[93],"this":[94,136,202],"keynote":[95],"talk,":[96],"Bader":[97,124],"will":[98],"discuss":[99],"opportunities":[101],"massive":[105,139],"data-intensive":[106],"computing":[107],"sciences,":[112,114],"physical":[113],"engineering.":[116],"Focusing":[117],"parallel":[119],"algorithm":[120,177],"design":[121],"implementation,":[123],"formalizes":[125],"a":[126,138,172,186],"practical":[127],"model":[128,153,203],"analysis":[131],"streaming":[133],"data.":[134],"In":[135],"model,":[137],"undergoes":[141],"changes":[142],"from":[143],"an":[144,176],"input":[145],"stream":[146],"edge":[148],"insertions":[149],"removals.":[151],"The":[152,169],"supports":[154],"concurrent":[155,197],"updating":[156],"while":[160],"execute":[162],"concurrently":[163],"dynamic":[166],"structure.":[168],"talk":[170],"introduces":[171],"concept":[173],"validity:":[175],"is":[178,183,227],"valid":[179,207],"if":[180],"output":[182],"correct":[184],"consisting":[188],"initial":[191],"with":[193,230],"some":[194],"subset":[195],"changes.":[198],"Practical":[199],"examples":[200],"are":[204],"given":[205],"implementations":[208],"breadth":[210],"first":[211],"search,":[212],"connected":[213],"components,":[214],"PageRank,":[215],"triangle":[217],"counting,":[218],"all":[219],"useful":[220],"kernels":[222],"applications.":[225],"This":[226],"joint":[228],"work":[229],"E.":[231],"Jason":[232],"Riedy":[233],"Chunxing":[235],"Yin.":[236]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}