{"id":"https://openalex.org/W4366660704","doi":"https://doi.org/10.14778/3583140.3583147","title":"Panakos: Chasing the Tails for Multidimensional Data Streams","display_name":"Panakos: Chasing the Tails for Multidimensional Data Streams","publication_year":2023,"publication_date":"2023-02-01","ids":{"openalex":"https://openalex.org/W4366660704","doi":"https://doi.org/10.14778/3583140.3583147"},"language":"en","primary_location":{"id":"doi:10.14778/3583140.3583147","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3583140.3583147","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-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/A5020064057","display_name":"Fuheng Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fuheng Zhao","raw_affiliation_strings":["UC Santa Barbara"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045188837","display_name":"Punnal Ismail Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Punnal Ismail Khan","raw_affiliation_strings":["UC Santa Barbara"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059945353","display_name":"Divyakant Agrawal","orcid":"https://orcid.org/0000-0002-0215-9539"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Divyakant Agrawal","raw_affiliation_strings":["UC Santa Barbara"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039292004","display_name":"Amr El Abbadi","orcid":"https://orcid.org/0000-0003-4692-3268"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amr El Abbadi","raw_affiliation_strings":["UC Santa Barbara"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046100948","display_name":"Arpit Gupta","orcid":"https://orcid.org/0000-0002-6378-7440"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arpit Gupta","raw_affiliation_strings":["UC Santa Barbara"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015818714","display_name":"Zaoxing Liu","orcid":"https://orcid.org/0000-0002-9119-1679"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zaoxing Liu","raw_affiliation_strings":["Boston University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7449,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8665875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"6","first_page":"1291","last_page":"1304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9919000267982483,"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/leverage","display_name":"Leverage (statistics)","score":0.8053725361824036},{"id":"https://openalex.org/keywords/skewness","display_name":"Skewness","score":0.7904581427574158},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.7452808618545532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7348472476005554},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6171472072601318},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6090884804725647},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.5659767985343933},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5229161977767944},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.4614047110080719},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4172573387622833},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.4115905165672302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2508985996246338},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10928177833557129},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09551838040351868},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0743737518787384}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8053725361824036},{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.7904581427574158},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.7452808618545532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7348472476005554},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6171472072601318},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6090884804725647},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.5659767985343933},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5229161977767944},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.4614047110080719},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4172573387622833},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.4115905165672302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2508985996246338},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10928177833557129},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09551838040351868},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0743737518787384},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3583140.3583147","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3583140.3583147","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W9014458","https://openalex.org/W95608104","https://openalex.org/W1479979375","https://openalex.org/W1994926493","https://openalex.org/W2008365755","https://openalex.org/W2018989507","https://openalex.org/W2021681605","https://openalex.org/W2023797161","https://openalex.org/W2041258965","https://openalex.org/W2042518617","https://openalex.org/W2049633694","https://openalex.org/W2055506747","https://openalex.org/W2058991275","https://openalex.org/W2068782468","https://openalex.org/W2072133873","https://openalex.org/W2080234606","https://openalex.org/W2090403603","https://openalex.org/W2094835873","https://openalex.org/W2109885200","https://openalex.org/W2113139394","https://openalex.org/W2128203095","https://openalex.org/W2144261930","https://openalex.org/W2146012756","https://openalex.org/W2161118867","https://openalex.org/W2163554462","https://openalex.org/W2295598076","https://openalex.org/W2439904216","https://openalex.org/W2487095677","https://openalex.org/W2605823630","https://openalex.org/W2613751718","https://openalex.org/W2743093301","https://openalex.org/W2792538726","https://openalex.org/W2798945787","https://openalex.org/W2834288129","https://openalex.org/W2878215196","https://openalex.org/W2956111272","https://openalex.org/W2956165314","https://openalex.org/W2963898466","https://openalex.org/W2991999319","https://openalex.org/W3004286518","https://openalex.org/W3006383271","https://openalex.org/W3108496275","https://openalex.org/W3146390850","https://openalex.org/W3189127798","https://openalex.org/W4234318375","https://openalex.org/W4238078311","https://openalex.org/W4243183553","https://openalex.org/W4253731216","https://openalex.org/W4255783720"],"related_works":["https://openalex.org/W4293083682","https://openalex.org/W4389449520","https://openalex.org/W127192698","https://openalex.org/W2570600173","https://openalex.org/W2893008024","https://openalex.org/W2743735673","https://openalex.org/W2360131081","https://openalex.org/W2985941356","https://openalex.org/W4361801939","https://openalex.org/W2802243998"],"abstract_inverted_index":{"System":[0],"operators":[1],"are":[2],"often":[3,170],"interested":[4],"in":[5,95,128],"extracting":[6],"different":[7,122],"feature":[8,33,93,106,117],"streams":[9,94],"from":[10],"multi-dimensional":[11],"data":[12,40,123],"streams;":[13],"and":[14,52,74,111,136,150,152,161],"reporting":[15],"their":[16,116],"distributions":[17],"at":[18],"regular":[19],"intervals,":[20],"including":[21],"the":[22,28,32,50,58,88,96,105,179],"heavy":[23],"hitters":[24],"that":[25,56,168],"contribute":[26],"to":[27,38,64,86,91,155],"tail":[29,72],"portion":[30],"of":[31,54,61,174],"distribution.":[34],"Satisfying":[35],"these":[36],"requirements":[37],"increase":[39],"rates":[41],"with":[42],"limited":[43],"resources":[44,63],"is":[45,85],"challenging.":[46],"This":[47],"paper":[48],"presents":[49],"design":[51],"implementation":[53],"Panakos":[55,131,146,154,169],"makes":[57],"best":[59],"use":[60,121],"available":[62],"report":[65],"a":[66,183],"given":[67,184],"feature's":[68],"distribution":[69],"accurately,":[70],"its":[71],"contributors,":[73],"other":[75,156],"stream":[76,107],"statistics":[77],"(e.g.,":[78],"cardinality,":[79],"entropy,":[80],"etc.).":[81],"Our":[82],"key":[83],"idea":[84],"leverage":[87,100],"skewness":[89,102],"inherent":[90],"most":[92],"real":[97],"world.":[98],"We":[99,119,143],"this":[101],"by":[103],"disentangling":[104],"into":[108],"hot,":[109],"warm,":[110],"cold":[112],"items":[113],"based":[114],"on":[115,147],"values.":[118],"then":[120],"structures":[124],"for":[125,140,182],"tracking":[126],"objects":[127],"each":[129],"category.":[130],"provides":[132],"solid":[133],"theoretical":[134],"guarantees":[135],"achieves":[137,171],"high":[138],"performance":[139],"various":[141],"tasks.":[142],"have":[144],"implemented":[145],"both":[148],"software":[149],"hardware":[151],"compared":[153],"state-of-the-art":[157,180],"sketches":[158],"using":[159],"synthetic":[160],"real-world":[162],"datasets.":[163],"The":[164],"experimental":[165],"results":[166],"demonstrate":[167],"one":[172],"order":[173],"magnitude":[175],"better":[176],"accuracy":[177],"than":[178],"solutions":[181],"memory":[185],"budget.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}