{"id":"https://openalex.org/W4385562482","doi":"https://doi.org/10.1145/3580305.3599433","title":"MimoSketch: A Framework to Mine Item Frequency on Multiple Nodes with Sketches","display_name":"MimoSketch: A Framework to Mine Item Frequency on Multiple Nodes with Sketches","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385562482","doi":"https://doi.org/10.1145/3580305.3599433"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599433","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5082459772","display_name":"Yuchen Xu","orcid":"https://orcid.org/0000-0002-5765-3825"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuchen Xu","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031365162","display_name":"Wenfei Wu","orcid":"https://orcid.org/0000-0002-1357-3137"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfei Wu","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083860768","display_name":"Bohan Zhao","orcid":"https://orcid.org/0000-0002-3722-8493"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bohan Zhao","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069277955","display_name":"Tong Yang","orcid":"https://orcid.org/0000-0003-2402-5854"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Yang","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048093695","display_name":"Yikai Zhao","orcid":"https://orcid.org/0000-0003-2495-7774"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikai Zhao","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082459772"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":2.2973,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.90391675,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2838","last_page":"2849"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9991000294685364,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8056901097297668},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6804682016372681},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.6312351822853088},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.47273460030555725},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46824371814727783},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.4406457841396332},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41146624088287354},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.40066713094711304},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.1522139310836792},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12371143698692322},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.08512479066848755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8056901097297668},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6804682016372681},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6312351822853088},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.47273460030555725},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46824371814727783},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.4406457841396332},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41146624088287354},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.40066713094711304},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1522139310836792},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12371143698692322},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.08512479066848755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599433","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324787","display_name":"Peking University","ror":"https://ror.org/02v51f717"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W139562302","https://openalex.org/W1553409264","https://openalex.org/W1967373117","https://openalex.org/W2012549717","https://openalex.org/W2037536649","https://openalex.org/W2039722754","https://openalex.org/W2065219958","https://openalex.org/W2080234606","https://openalex.org/W2166858086","https://openalex.org/W2173213060","https://openalex.org/W2223583458","https://openalex.org/W2439904216","https://openalex.org/W2753629899","https://openalex.org/W2798945787","https://openalex.org/W2799200478","https://openalex.org/W2808923818","https://openalex.org/W2809067649","https://openalex.org/W2834288129","https://openalex.org/W2900975033","https://openalex.org/W2913668833","https://openalex.org/W2944916577","https://openalex.org/W2950087731","https://openalex.org/W2963898466","https://openalex.org/W3039686780","https://openalex.org/W3046644368","https://openalex.org/W3048576163","https://openalex.org/W3080109618","https://openalex.org/W3080797160","https://openalex.org/W3081247648","https://openalex.org/W3102387041","https://openalex.org/W3106272338","https://openalex.org/W3169567991","https://openalex.org/W3171994992","https://openalex.org/W3210447848","https://openalex.org/W4244556018","https://openalex.org/W4283323602","https://openalex.org/W4313547918"],"related_works":["https://openalex.org/W2545343974","https://openalex.org/W4291895924","https://openalex.org/W2485872624","https://openalex.org/W1783583321","https://openalex.org/W2038397443","https://openalex.org/W2941374357","https://openalex.org/W2112785353","https://openalex.org/W2026727497","https://openalex.org/W4388520214","https://openalex.org/W2164866798"],"abstract_inverted_index":{"We":[0,21],"abstract":[1],"a":[2,11,23,48,62],"MIMO":[3,152],"scenario":[4],"in":[5,151],"distributed":[6],"data":[7],"stream":[8,12],"mining,":[9],"where":[10],"of":[13,37,43,136],"multiple":[14,19,76],"items":[15,52,103],"is":[16,81],"mined":[17],"by":[18,95,133],"nodes.":[20,54],"design":[22,46],"framework":[24],"named":[25],"MimoSketch":[26,41],"for":[27],"the":[28,33,72,85,92,114,128,140,144,149],"MIMO-specific":[29],"scenario,":[30],"which":[31,67,90,112],"improves":[32,113],"fundamental":[34],"mining":[35,116],"task":[36],"item":[38,87,129],"frequency":[39,130],"estimation.":[40],"consists":[42],"an":[44,134],"algorithm":[45,56,125],"and":[47,120,143],"policy":[49,101,146],"to":[50,53,60,71,84],"schedule":[51],"MimoSketch's":[55,99],"applies":[57],"random":[58],"counting":[59],"preserve":[61],"mathematically":[63],"proven":[64],"unbiasedness":[65],"property,":[66],"makes":[68],"it":[69],"friendly":[70],"aggregate":[73],"query":[74],"on":[75],"nodes;":[77],"its":[78],"memory":[79],"layout":[80],"dynamically":[82],"adaptive":[83],"runtime":[86],"size":[88],"distribution,":[89],"maximizes":[91],"estimation":[93,131],"accuracy":[94,132],"storing":[96],"more":[97],"items.":[98],"scheduling":[100,145],"balances":[102],"among":[104],"nodes,":[105],"avoiding":[106],"nodes":[107],"being":[108],"overloaded":[109],"or":[110],"underloaded,":[111],"overall":[115],"accuracy.":[117],"Our":[118],"prototype":[119],"evaluation":[121],"show":[122],"that":[123],"our":[124],"can":[126],"improve":[127],"order":[135],"magnitude":[137],"compared":[138],"with":[139],"state-of-the-art":[141],"solutions,":[142],"further":[147],"promotes":[148],"performance":[150],"scenarios.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
