{"id":"https://openalex.org/W2168967034","doi":"https://doi.org/10.1145/1376616.1376696","title":"Querying continuous functions in a database system","display_name":"Querying continuous functions in a database system","publication_year":2008,"publication_date":"2008-06-09","ids":{"openalex":"https://openalex.org/W2168967034","doi":"https://doi.org/10.1145/1376616.1376696","mag":"2168967034"},"language":"en","primary_location":{"id":"doi:10.1145/1376616.1376696","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1376616.1376696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM SIGMOD international conference on Management of data","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/A5033860697","display_name":"Arvind Thiagarajan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Arvind Thiagarajan","raw_affiliation_strings":["MIT CSAIL, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL, Cambridge, MA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037742794","display_name":"Samuel Madden","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samuel Madden","raw_affiliation_strings":["MIT CSAIL, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL, Cambridge, MA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033860697"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.8361,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.97360876,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"791","last_page":"804"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9991000294685364,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9429000020027161,"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/computer-science","display_name":"Computer science","score":0.727438747882843},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5707734227180481},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.5628925561904907},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.526322066783905},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5085617303848267},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4859427213668823},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4576011002063751},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4238278269767761},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.4176119565963745},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3228488564491272},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29825717210769653},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15567809343338013},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.09821298718452454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.727438747882843},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5707734227180481},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.5628925561904907},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.526322066783905},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5085617303848267},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4859427213668823},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4576011002063751},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4238278269767761},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.4176119565963745},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3228488564491272},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29825717210769653},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15567809343338013},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.09821298718452454},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"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/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1376616.1376696","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1376616.1376696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM SIGMOD international conference on Management of data","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.170.2337","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.170.2337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.mit.edu/arvindt/www/functiondb.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W128984794","https://openalex.org/W182248535","https://openalex.org/W1575674574","https://openalex.org/W1594031697","https://openalex.org/W1596887828","https://openalex.org/W1603321032","https://openalex.org/W1882586311","https://openalex.org/W1886224142","https://openalex.org/W1976122836","https://openalex.org/W1991718942","https://openalex.org/W2032521898","https://openalex.org/W2041795132","https://openalex.org/W2087022699","https://openalex.org/W2092109075","https://openalex.org/W2107633943","https://openalex.org/W2116832440","https://openalex.org/W2123503236","https://openalex.org/W2162082792","https://openalex.org/W2170918595","https://openalex.org/W2250334391","https://openalex.org/W2330820318","https://openalex.org/W3085162807","https://openalex.org/W4250329730","https://openalex.org/W4256008556","https://openalex.org/W6639572674"],"related_works":["https://openalex.org/W2006251942","https://openalex.org/W4245395944","https://openalex.org/W2364741597","https://openalex.org/W2143551613","https://openalex.org/W1979740464","https://openalex.org/W1492103595","https://openalex.org/W1864774435","https://openalex.org/W2138823233","https://openalex.org/W2143345456","https://openalex.org/W946352265"],"abstract_inverted_index":{"Many":[0],"scientific,":[1],"financial,":[2],"data":[3,17,40,73,91,99,117,231],"mining":[4],"and":[5,81,92,172,209,238,261],"sensor":[6,50,57,109,236],"network":[7],"applications":[8,45],"need":[9],"to":[10,55,59,78,85,89,107,115,223,263],"work":[11],"with":[12],"continuous,":[13],"rather":[14,96],"than":[15,97],"discrete":[16,39,200,277],"e.g.,":[18,47,102],"temperature":[19,235],"as":[20,31,154,276],"a":[21,32,49,104,112,139,146,234],"function":[22,33],"of":[23,34,133,136,141,167,182,194,258,265,279],"location,":[24],"or":[25,28,38,111,120,128],"stock":[26],"prices":[27],"vehicle":[29],"trajectories":[30],"time.":[35],"Querying":[36],"raw":[37,72,90,98],"is":[41,53,83,169],"unsatisfactory":[42],"for":[43,178],"these":[44],"--":[46,101],"in":[48,249,256],"network,":[51,237],"it":[52,82],"necessary":[54],"interpolate":[56],"readings":[58],"predict":[60],"values":[61],"at":[62],"locations":[63],"where":[64],"sensors":[65],"are":[66,216],"not":[67,125],"deployed.":[68],"In":[69],"other":[70],"situations,":[71],"can":[74,158],"be":[75,159],"inaccurate":[76],"owing":[77],"measurement":[79],"errors,":[80],"useful":[84],"fit":[86],"continuous":[87,130],"functions":[88,137,153,195],"query":[93,175],"the":[94,179,191,250],"functions,":[95,131,185],"itself":[100],"fitting":[103],"smooth":[105,113],"curve":[106],"noisy":[108],"readings,":[110],"trajectory":[114],"GPS":[116],"containing":[118],"gaps":[119],"outliers.":[121],"Existing":[122],"databases":[123],"do":[124],"support":[126],"storing":[127],"querying":[129],"short":[132],"brute-force":[134],"discretization":[135],"into":[138,199],"collection":[140],"tuples.":[142],"We":[143,226,245],"present":[144],"FunctionDB,":[145],"novel":[147],"database":[148],"system":[149],"that":[150,157,247,273],"treats":[151],"mathematical":[152],"first-class":[155],"citizens":[156],"queried":[160],"like":[161],"traditional":[162],"relations.":[163],"The":[164],"key":[165],"contribution":[166],"FunctionDB":[168,186,218,228],"an":[170],"efficient":[171],"accurate":[173],"algebraic":[174,192],"processor":[176],"-":[177],"broad":[180],"class":[181],"multi-variable":[183],"polynomial":[184],"executes":[187],"queries":[188],"directly":[189],"on":[190,229,239],"representation":[193],"without":[196],"materializing":[197],"them":[198],"points,":[201],"using":[202],"symbolic":[203,220],"operations:":[204],"zero":[205],"finding,":[206],"variable":[207],"substitution,":[208],"integration.":[210],"Even":[211],"when":[212],"closed":[213],"form":[214],"solutions":[215],"intractable,":[217],"leverages":[219],"approximation":[221],"operations":[222],"improve":[224],"performance.":[225],"evaluate":[227],"real":[230],"sets":[232],"from":[233,242],"traffic":[240],"traces":[241],"Boston":[243],"roads.":[244],"show":[246],"operating":[248],"functional":[251],"domain":[252],"has":[253],"substantial":[254],"advantages":[255],"terms":[257],"accuracy":[259],"(15-30%)":[260],"up":[262],"order":[264],"magnitude":[266],"(10x-100x)":[267],"performance":[268],"wins":[269],"over":[270],"existing":[271],"approaches":[272],"represent":[274],"models":[275],"collections":[278],"points.":[280]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
