{"id":"https://openalex.org/W1999371820","doi":"https://doi.org/10.1145/1014052.1014081","title":"Machine learning for online query relaxation","display_name":"Machine learning for online query relaxation","publication_year":2004,"publication_date":"2004-08-22","ids":{"openalex":"https://openalex.org/W1999371820","doi":"https://doi.org/10.1145/1014052.1014081","mag":"1999371820"},"language":"en","primary_location":{"id":"doi:10.1145/1014052.1014081","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1014052.1014081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the tenth ACM SIGKDD international 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/A5011344987","display_name":"Ion Muslea","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]},{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ion Muslea","raw_affiliation_strings":["SRI International, Menlo Park, CA","SRI International, Menlo Park,CA#TAB#"],"affiliations":[{"raw_affiliation_string":"SRI International, Menlo Park, CA","institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I4210099336"]},{"raw_affiliation_string":"SRI International, Menlo Park,CA#TAB#","institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I4210099336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5011344987"],"corresponding_institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I4210099336"],"apc_list":null,"apc_paid":null,"fwci":1.963,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.86031712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"246","last_page":"255"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9976000189781189,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9943000078201294,"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":0.7781108617782593},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.7543624639511108},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.7527483105659485},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.7341210246086121},{"id":"https://openalex.org/keywords/online-aggregation","display_name":"Online aggregation","score":0.642798662185669},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.6356362104415894},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.629010021686554},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6005713939666748},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.5905486345291138},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.5632660388946533},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.5363605618476868},{"id":"https://openalex.org/keywords/boolean-conjunctive-query","display_name":"Boolean conjunctive query","score":0.5337501764297485},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4609238803386688},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3596568703651428},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34397804737091064},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.29545658826828003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1388958990573883}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7781108617782593},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.7543624639511108},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.7527483105659485},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.7341210246086121},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.642798662185669},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.6356362104415894},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.629010021686554},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6005713939666748},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.5905486345291138},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.5632660388946533},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.5363605618476868},{"id":"https://openalex.org/C24755975","wikidata":"https://www.wikidata.org/wiki/Q4943354","display_name":"Boolean conjunctive query","level":5,"score":0.5337501764297485},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4609238803386688},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3596568703651428},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34397804737091064},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.29545658826828003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1388958990573883},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1014052.1014081","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1014052.1014081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1488719427","https://openalex.org/W1504694836","https://openalex.org/W1532343648","https://openalex.org/W1573996261","https://openalex.org/W1585148967","https://openalex.org/W1596283936","https://openalex.org/W1618331367","https://openalex.org/W1660390307","https://openalex.org/W1972121741","https://openalex.org/W2044322962","https://openalex.org/W2059676424","https://openalex.org/W2065232487","https://openalex.org/W2084243240","https://openalex.org/W2090226822","https://openalex.org/W2121155062","https://openalex.org/W2125055259","https://openalex.org/W2125464986","https://openalex.org/W2135877026","https://openalex.org/W2137810622","https://openalex.org/W2140562500","https://openalex.org/W2149609569","https://openalex.org/W2155413190","https://openalex.org/W2158171113","https://openalex.org/W2161561171","https://openalex.org/W2171147525","https://openalex.org/W4285719527","https://openalex.org/W6629165815","https://openalex.org/W6634943017","https://openalex.org/W6637101025"],"related_works":["https://openalex.org/W3125756434","https://openalex.org/W906795786","https://openalex.org/W2395027054","https://openalex.org/W2110065340","https://openalex.org/W1973282744","https://openalex.org/W1999371820","https://openalex.org/W1590029787","https://openalex.org/W2186818439","https://openalex.org/W2491796624","https://openalex.org/W1561614275"],"abstract_inverted_index":{"In":[0,134],"this":[1,81,124,163],"paper":[2],"we":[3],"provide":[4],"a":[5,15,33,40,59,91,96,106,199],"fast,":[6],"data-driven":[7],"solution":[8],"to":[9,47,83,104,142,152,165,208,215],"the":[10,26,53,68,74,85,88,101,118,121,135,144,149,153,159,167,192],"failing":[11,89,122,132,154,168,193],"query":[12,16],"problem:":[13],"given":[14],"that":[17,30,50,71,111,147,178,204],"returns":[18,32],"an":[19,114],"empty":[20],"answer,":[21],"how":[22],"can":[23],"one":[24],"relax":[25,48,84,166],"query's":[27,169],"constraints":[28,86,119],"so":[29],"it":[31,157,185,196],"non-empty":[34],"set":[35,107],"of":[36,61,100,108,191,206,213],"tuples?":[37],"We":[38],"introduce":[39],"novel":[41],"algorithm,":[42],"loqr,":[43],"which":[44],"is":[45,127,148,180],"designed":[46],"queries":[49,203,212],"are":[51,218],"in":[52,120,220],"disjunctive":[54],"normal":[55],"form":[56],"and":[57,63,78,183,195],"contain":[58],"mixture":[60],"discrete":[62],"continuous":[64],"attributes.":[65],"loqr":[66,94,138,179],"discovers":[67],"implicit":[69],"relationships":[70],"exist":[72],"among":[73],"various":[75],"domain":[76],"attributes":[77,210,217],"then":[79,156],"uses":[80,95,139,158],"knowledge":[82],"from":[87,162],"query.In":[90],"first":[92],"step,":[93,137],"small,":[97],"randomly-chosen":[98],"subset":[99],"target":[102],"database":[103],"learn":[105],"decision":[109],"rules":[110],"predict":[112],"whether":[113],"attribute's":[115],"value":[116],"satisfies":[117],"query;":[123,155],"query-driven":[125],"operation":[126],"performed":[128],"online":[129],"for":[130,201],"each":[131],"query.":[133],"second":[136,200],"nearest-neighbor":[140],"techniques":[141],"find":[143],"learned":[145],"rule":[146,164],"most":[150],"similar":[151],"attributes'":[160],"values":[161],"constraints.":[170],"Our":[171],"experiments":[172],"on":[173],"six":[174],"application":[175],"domains":[176],"show":[177],"both":[181],"robust":[182],"fast:":[184],"successfully":[186],"relaxes":[187],"more":[188],"than":[189],"95%":[190],"queries,":[194],"takes":[197],"under":[198],"processing":[202],"consist":[205],"up":[207,214],"20":[209],"(larger":[211],"93":[216],"processed":[219],"several":[221],"seconds).":[222]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}