{"id":"https://openalex.org/W2020111805","doi":"https://doi.org/10.1145/1516360.1516447","title":"Multiplicative synopses for relative-error metrics","display_name":"Multiplicative synopses for relative-error metrics","publication_year":2009,"publication_date":"2009-03-24","ids":{"openalex":"https://openalex.org/W2020111805","doi":"https://doi.org/10.1145/1516360.1516447","mag":"2020111805"},"language":"en","primary_location":{"id":"doi:10.1145/1516360.1516447","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1516360.1516447","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516447","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516447","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061315439","display_name":"Panagiotis Karras","orcid":"https://orcid.org/0000-0002-7642-0875"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Panagiotis Karras","raw_affiliation_strings":["National University of Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061315439"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":1.3515,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84313764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2001","issue":null,"first_page":"756","last_page":"767"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9973000288009644,"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":0.9973000288009644,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9955999851226807,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8776124715805054},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.8159894943237305},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.7822904586791992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7479248046875},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6193246841430664},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5173761248588562},{"id":"https://openalex.org/keywords/additive-function","display_name":"Additive function","score":0.4582677483558655},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4329259693622589},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4308069348335266},{"id":"https://openalex.org/keywords/additive-model","display_name":"Additive model","score":0.4147067070007324},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36212223768234253},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22577515244483948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22324109077453613},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14471417665481567}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8776124715805054},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.8159894943237305},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.7822904586791992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479248046875},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6193246841430664},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5173761248588562},{"id":"https://openalex.org/C38803922","wikidata":"https://www.wikidata.org/wiki/Q95745348","display_name":"Additive function","level":2,"score":0.4582677483558655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4329259693622589},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4308069348335266},{"id":"https://openalex.org/C203223496","wikidata":"https://www.wikidata.org/wiki/Q4681344","display_name":"Additive model","level":2,"score":0.4147067070007324},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36212223768234253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22577515244483948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22324109077453613},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14471417665481567},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1516360.1516447","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1516360.1516447","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516447","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/41402","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/41402","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.509.9278","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.509.9278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.edbt.org/Proceedings/2009-StPetersburg/edbt/papers/p0756-Karras.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/1516360.1516447","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1516360.1516447","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516447","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2020111805.pdf","grobid_xml":"https://content.openalex.org/works/W2020111805.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W17210412","https://openalex.org/W58109815","https://openalex.org/W199677694","https://openalex.org/W1495594559","https://openalex.org/W1505808391","https://openalex.org/W1541142209","https://openalex.org/W1581547316","https://openalex.org/W1586098254","https://openalex.org/W1589269155","https://openalex.org/W1590291442","https://openalex.org/W1751849233","https://openalex.org/W1822348499","https://openalex.org/W1964482959","https://openalex.org/W1981348564","https://openalex.org/W1983609110","https://openalex.org/W1987752353","https://openalex.org/W1989418877","https://openalex.org/W1992023276","https://openalex.org/W1996784330","https://openalex.org/W1998244781","https://openalex.org/W2006122313","https://openalex.org/W2008931591","https://openalex.org/W2021850646","https://openalex.org/W2026896584","https://openalex.org/W2047424291","https://openalex.org/W2053075747","https://openalex.org/W2057058417","https://openalex.org/W2064174652","https://openalex.org/W2064383543","https://openalex.org/W2067304854","https://openalex.org/W2089265984","https://openalex.org/W2092919877","https://openalex.org/W2105910802","https://openalex.org/W2106063091","https://openalex.org/W2107628111","https://openalex.org/W2110557355","https://openalex.org/W2110704543","https://openalex.org/W2112056262","https://openalex.org/W2114029045","https://openalex.org/W2120108467","https://openalex.org/W2121601267","https://openalex.org/W2129373266","https://openalex.org/W2133577012","https://openalex.org/W2138551708","https://openalex.org/W2144661390","https://openalex.org/W2150779766","https://openalex.org/W2153511931","https://openalex.org/W2164363676","https://openalex.org/W2171903035","https://openalex.org/W2212047990","https://openalex.org/W2294832208","https://openalex.org/W4205780337","https://openalex.org/W4234667859","https://openalex.org/W4246532143","https://openalex.org/W4248329883","https://openalex.org/W4255671299","https://openalex.org/W4285719527","https://openalex.org/W6630164444","https://openalex.org/W6635154084","https://openalex.org/W6638337754","https://openalex.org/W6676015427","https://openalex.org/W6680779445","https://openalex.org/W6696858230"],"related_works":["https://openalex.org/W2766508701","https://openalex.org/W4318195686","https://openalex.org/W4287173569","https://openalex.org/W3004338153","https://openalex.org/W2109259825","https://openalex.org/W3188293273","https://openalex.org/W2295984931","https://openalex.org/W3182422617","https://openalex.org/W2913076862","https://openalex.org/W1519331308"],"abstract_inverted_index":{"Existing":[0,48],"hierarchical":[1,33],"summarization":[2,20,35,181],"techniques":[3],"fail":[4],"to":[5,77,144],"provide":[6],"synopses":[7],"good":[8],"in":[9,63,164],"terms":[10],"of":[11,60,74,87,136,176],"relative-error":[12,25,79],"metrics.":[13],"This":[14,27],"paper":[15],"introduces":[16],"multiplicative":[17,98,122],"synopses:":[18],"a":[19,97,130,151],"paradigm":[21,28],"tailored":[22],"for":[23,107,120,133,160],"effective":[24],"summarization.":[26],"is":[29,104],"inspired":[30],"from":[31,83],"previous":[32],"index-based":[34],"schemes,":[36],"but":[37],"goes":[38],"beyond":[39],"them":[40],"by":[41,96,156],"altering":[42],"their":[43,88],"underlying":[44],"data":[45,54,110,146],"representation":[46,89],"mechanism.":[47,90],"schemes":[49,143],"have":[50],"decomposed":[51],"the":[52,72,134,173],"summarized":[53],"based":[55],"on":[56,179],"sums":[57],"and":[58,129,148],"differences":[59],"values,":[61],"resulting":[62],"what":[64],"we":[65,149,171],"call":[66],"additive":[67,85,94],"synopses.":[68],"We":[69,91,100,112,140],"argue":[70,101],"that":[71,102],"incapacity":[73],"these":[75],"models":[76],"handle":[78],"metrics":[80],"stems":[81],"exactly":[82],"this":[84,93,103,165],"nature":[86,95],"substitute":[92],"one.":[99],"more":[105],"appropriate":[106],"achieving":[108],"low-relative-error":[109],"approximations.":[111],"develop":[113],"an":[114],"efficient":[115],"linear-time":[116],"dynamic":[117],"programming":[118],"scheme":[119,132,159],"one-dimensional":[121],"synopsis":[123],"construction":[124],"under":[125],"general":[126],"relative-error-based":[127],"metrics,":[128],"special":[131,158],"case":[135],"maximum":[137,161],"relative":[138,162],"error.":[139],"generalize":[141],"our":[142,157,168,177],"higher":[145,174],"dimensionality":[147],"show":[150],"surprising":[152],"additional":[153],"benefit":[154],"gained":[155],"error":[163],"case.":[166],"In":[167],"experimental":[169],"study,":[170],"verify":[172],"efficacy":[175],"model":[178],"relative-error-oriented":[180],"problems.":[182]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
