{"id":"https://openalex.org/W4393180321","doi":"https://doi.org/10.1145/3639320","title":"LeCo: Lightweight Compression via Learning Serial Correlations","display_name":"LeCo: Lightweight Compression via Learning Serial Correlations","publication_year":2024,"publication_date":"2024-03-12","ids":{"openalex":"https://openalex.org/W4393180321","doi":"https://doi.org/10.1145/3639320"},"language":"en","primary_location":{"id":"doi:10.1145/3639320","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639320","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639320","source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"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 ACM on Management of Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3639320","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037956012","display_name":"Yihao Liu","orcid":"https://orcid.org/0009-0004-4623-5240"},"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":"Yihao Liu","raw_affiliation_strings":["Institute for Interdisciplinary Information Science, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-4623-5240","affiliations":[{"raw_affiliation_string":"Institute for Interdisciplinary Information Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072310638","display_name":"Xinyu Zeng","orcid":"https://orcid.org/0009-0002-6858-1457"},"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":"Xinyu Zeng","raw_affiliation_strings":["Institute for Interdisciplinary Information Science, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-6858-1457","affiliations":[{"raw_affiliation_string":"Institute for Interdisciplinary Information Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048293406","display_name":"Huanchen Zhang","orcid":"https://orcid.org/0009-0001-4821-1558"},"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":"Huanchen Zhang","raw_affiliation_strings":["Institute for Interdisciplinary Information Science, Tsinghua University & Shanghai Qi Zhi Institute, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-4821-1558","affiliations":[{"raw_affiliation_string":"Institute for Interdisciplinary Information Science, Tsinghua University & Shanghai Qi Zhi Institute, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":4.4787,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.95001178,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"2","issue":"1","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9997000098228455,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9997000098228455,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9988999962806702,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.7311590909957886},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6903921365737915},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6174697875976562},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5976404547691345},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.47635316848754883},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4709792137145996},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.46538203954696655},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45338523387908936},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.41719937324523926},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30786868929862976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2885381579399109}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311590909957886},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6903921365737915},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6174697875976562},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5976404547691345},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.47635316848754883},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4709792137145996},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.46538203954696655},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45338523387908936},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.41719937324523926},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30786868929862976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2885381579399109},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3639320","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639320","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639320","source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"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 ACM on Management of Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3639320","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639320","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639320","source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"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 ACM on Management of Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393180321.pdf","grobid_xml":"https://content.openalex.org/works/W4393180321.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W1509841269","https://openalex.org/W1510763264","https://openalex.org/W1527356121","https://openalex.org/W1791987072","https://openalex.org/W1904036550","https://openalex.org/W1965869859","https://openalex.org/W1967091776","https://openalex.org/W1967601791","https://openalex.org/W1969877208","https://openalex.org/W1977330283","https://openalex.org/W1985136582","https://openalex.org/W1985229168","https://openalex.org/W1987007212","https://openalex.org/W1990970199","https://openalex.org/W1991223838","https://openalex.org/W2006296837","https://openalex.org/W2015690376","https://openalex.org/W2031780529","https://openalex.org/W2032648817","https://openalex.org/W2033201837","https://openalex.org/W2046238593","https://openalex.org/W2048519322","https://openalex.org/W2054046497","https://openalex.org/W2055774867","https://openalex.org/W2058150901","https://openalex.org/W2060108852","https://openalex.org/W2087361130","https://openalex.org/W2089455813","https://openalex.org/W2102729946","https://openalex.org/W2103670492","https://openalex.org/W2107745473","https://openalex.org/W2108989506","https://openalex.org/W2109289209","https://openalex.org/W2110414201","https://openalex.org/W2123686039","https://openalex.org/W2124553891","https://openalex.org/W2129652681","https://openalex.org/W2140453381","https://openalex.org/W2152437528","https://openalex.org/W2156000104","https://openalex.org/W2163422235","https://openalex.org/W2167911783","https://openalex.org/W2182331413","https://openalex.org/W2250374629","https://openalex.org/W2281341896","https://openalex.org/W2430301697","https://openalex.org/W2439390339","https://openalex.org/W2605330850","https://openalex.org/W2753767407","https://openalex.org/W2798891709","https://openalex.org/W2808534520","https://openalex.org/W2945486614","https://openalex.org/W2945647983","https://openalex.org/W2948233700","https://openalex.org/W2950969408","https://openalex.org/W2962771342","https://openalex.org/W2979531022","https://openalex.org/W3010666283","https://openalex.org/W3029187551","https://openalex.org/W3031206277","https://openalex.org/W3033065823","https://openalex.org/W3081593267","https://openalex.org/W3084651990","https://openalex.org/W3085924233","https://openalex.org/W3103567827","https://openalex.org/W3118971041","https://openalex.org/W3121516856","https://openalex.org/W3175356203","https://openalex.org/W3207452942","https://openalex.org/W4210798430","https://openalex.org/W4281718197","https://openalex.org/W4284974261","https://openalex.org/W4291294685","https://openalex.org/W4312637143","https://openalex.org/W4381621963","https://openalex.org/W4389539860"],"related_works":["https://openalex.org/W3047599943","https://openalex.org/W4383723869","https://openalex.org/W2161302774","https://openalex.org/W2388481516","https://openalex.org/W4384298135","https://openalex.org/W4383722264","https://openalex.org/W1723410974","https://openalex.org/W3007688875","https://openalex.org/W3209669196","https://openalex.org/W2766695209"],"abstract_inverted_index":{"Lightweight":[0],"data":[1,111,150],"compression":[2,72,125],"is":[3],"a":[4,19,39,52,64,79,115,120,149,160],"key":[5],"technique":[6],"that":[7,54,114],"allows":[8],"column":[9,40],"stores":[10],"to":[11,25,58,68,82,144],"exhibit":[12],"superior":[13],"performance":[14],"for":[15,41],"analytical":[16,151],"queries.":[17],"Despite":[18],"comprehensive":[20],"study":[21],"on":[22,123],"dictionary-based":[23],"encodings":[24],"approach":[26,81],"Shannon's":[27],"entropy,":[28],"few":[29],"prior":[30],"works":[31],"have":[32],"systematically":[33],"exploited":[34],"the":[35,60,132,154],"serial":[36,61],"correlation":[37],"in":[38,63,148,153,163],"compression.":[42],"In":[43],"this":[44,83],"paper,":[45],"we":[46,141],"propose":[47],"LeCo":[48,77,118,137],"(i.e.,":[49],"Learned":[50],"Compression),":[51],"framework":[53],"uses":[55],"machine":[56],"learning":[57],"remove":[59],"redundancy":[62],"value":[65],"sequence":[66],"automatically":[67],"achieve":[69],"an":[70],"outstanding":[71],"ratio":[73,126],"and":[74,94,108,127,159],"decompression":[75],"performance.":[76],"presents":[78],"general":[80],"end,":[84],"making":[85],"existing":[86,133],"algorithms":[87],"such":[88],"as":[89],"Frame-of-Reference":[90],"(FOR),":[91],"Delta":[92],"Encoding,":[93],"Run-Length":[95],"Encoding":[96],"(RLE)":[97],"special":[98],"cases":[99],"under":[100],"our":[101],"framework.":[102],"Our":[103],"microbenchmark":[104],"with":[105],"three":[106],"synthetic":[107],"eight":[109],"real-world":[110],"sets":[112],"shows":[113],"prototype":[116],"of":[117],"achieves":[119],"Pareto":[121],"improvement":[122],"both":[124],"random":[128],"access":[129],"speed":[130,146],"over":[131],"solutions.":[134],"When":[135],"integrating":[136],"into":[138],"widely-used":[139],"applications,":[140],"observe":[142],"up":[143,147],"5.2\u00d7":[145],"query":[152],"Arrow":[155],"columnar":[156],"execution":[157],"engine,":[158],"16%":[161],"increase":[162],"RocksDB's":[164],"throughput.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}