{"id":"https://openalex.org/W2548927174","doi":"https://doi.org/10.1145/2939368","title":"Exploiting Integrity Constraints for Cleaning Trajectories of RFID-Monitored Objects","display_name":"Exploiting Integrity Constraints for Cleaning Trajectories of RFID-Monitored Objects","publication_year":2016,"publication_date":"2016-11-02","ids":{"openalex":"https://openalex.org/W2548927174","doi":"https://doi.org/10.1145/2939368","mag":"2548927174"},"language":"en","primary_location":{"id":"doi:10.1145/2939368","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2939368","pdf_url":null,"source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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":"ACM Transactions on Database Systems","raw_type":"journal-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/A5043055064","display_name":"Bettina Fazzinga","orcid":"https://orcid.org/0000-0001-8611-2377"},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Bettina Fazzinga","raw_affiliation_strings":["ICAR-CNR, Rende (CS), Italy"],"affiliations":[{"raw_affiliation_string":"ICAR-CNR, Rende (CS), Italy","institution_ids":["https://openalex.org/I3005160176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002811447","display_name":"Sergio Flesca","orcid":"https://orcid.org/0000-0002-4164-940X"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sergio Flesca","raw_affiliation_strings":["DIMES, University of Calabria, Italy"],"affiliations":[{"raw_affiliation_string":"DIMES, University of Calabria, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050801592","display_name":"Filippo Furfaro","orcid":"https://orcid.org/0000-0001-5145-1301"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Filippo Furfaro","raw_affiliation_strings":["DIMES, University of Calabria, Italy"],"affiliations":[{"raw_affiliation_string":"DIMES, University of Calabria, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047977256","display_name":"Francesco Parisi","orcid":"https://orcid.org/0000-0001-9977-1355"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Parisi","raw_affiliation_strings":["DIMES, University of Calabria, Italy"],"affiliations":[{"raw_affiliation_string":"DIMES, University of Calabria, Italy","institution_ids":["https://openalex.org/I45204951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043055064"],"corresponding_institution_ids":["https://openalex.org/I3005160176"],"apc_list":null,"apc_paid":null,"fwci":1.2863,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.82771698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"41","issue":"4","first_page":"1","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10986","display_name":"RFID technology advancements","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9864000082015991,"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/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.8153448104858398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7503678798675537},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7383646368980408},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6325058341026306},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5793134570121765},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5760601758956909},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5733436346054077},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.47273245453834534},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4206574559211731},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4168316721916199},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36422640085220337},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34014371037483215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2458142638206482},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18302509188652039},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10826653242111206}],"concepts":[{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.8153448104858398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503678798675537},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7383646368980408},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6325058341026306},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5793134570121765},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5760601758956909},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5733436346054077},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.47273245453834534},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4206574559211731},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4168316721916199},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36422640085220337},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34014371037483215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2458142638206482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18302509188652039},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10826653242111206},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2939368","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2939368","pdf_url":null,"source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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":"ACM Transactions on Database Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1483307070","https://openalex.org/W1504603323","https://openalex.org/W1557494912","https://openalex.org/W1600268254","https://openalex.org/W1643569732","https://openalex.org/W1977663933","https://openalex.org/W1991294548","https://openalex.org/W1991586057","https://openalex.org/W1996544809","https://openalex.org/W1996573126","https://openalex.org/W2007337957","https://openalex.org/W2017626208","https://openalex.org/W2021490548","https://openalex.org/W2033055840","https://openalex.org/W2051376734","https://openalex.org/W2075259377","https://openalex.org/W2076618452","https://openalex.org/W2079848516","https://openalex.org/W2080721642","https://openalex.org/W2081821924","https://openalex.org/W2093751752","https://openalex.org/W2094069236","https://openalex.org/W2096188503","https://openalex.org/W2099627672","https://openalex.org/W2100045669","https://openalex.org/W2100989187","https://openalex.org/W2101956636","https://openalex.org/W2103269600","https://openalex.org/W2104791085","https://openalex.org/W2108482152","https://openalex.org/W2109136363","https://openalex.org/W2112630366","https://openalex.org/W2113950528","https://openalex.org/W2117936965","https://openalex.org/W2118055871","https://openalex.org/W2118975298","https://openalex.org/W2118991694","https://openalex.org/W2119493805","https://openalex.org/W2122307358","https://openalex.org/W2132615914","https://openalex.org/W2132870420","https://openalex.org/W2138488633","https://openalex.org/W2138729760","https://openalex.org/W2144550310","https://openalex.org/W2145417574","https://openalex.org/W2151530857","https://openalex.org/W2158955189","https://openalex.org/W2160337655","https://openalex.org/W2164149526","https://openalex.org/W2164328302","https://openalex.org/W2166315077","https://openalex.org/W2168883390","https://openalex.org/W2169600045","https://openalex.org/W2170102584","https://openalex.org/W2170240475","https://openalex.org/W2328235525","https://openalex.org/W2400947675","https://openalex.org/W2588354321","https://openalex.org/W2997620916"],"related_works":["https://openalex.org/W1496222301","https://openalex.org/W3207760230","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W4280645561"],"abstract_inverted_index":{"A":[0],"probabilistic":[1,94],"framework":[2],"for":[3,227],"cleaning":[4,62],"the":[5,22,28,32,50,54,57,72,78,85,100,104,114,118,128,133,140,148,151,158,166,169,175,186,198,218,230,238],"data":[6,208],"collected":[7],"by":[8,49,65,92,132,138,183],"Radio-Frequency":[9],"IDentification":[10],"(RFID)":[11],"tracking":[12],"systems":[13],"is":[14,21,39,45,63,136,194],"introduced.":[15],"What":[16],"has":[17],"to":[18,77,127,147,165,197],"be":[19],"cleaned":[20],"set":[23,38],"of":[24,31,70,83,99,144,160,168,173,179,202,240],"trajectories":[25,74,105,187,219],"that":[26,52,96,111,150,215],"are":[27,90,106,124,153],"possible":[29],"interpretations":[30],"readings:":[33],"a":[34,40,46,80,108,141,162,170,190,207],"trajectory":[35,146,212],"in":[36],"this":[37,155,161],"sequence":[41],"whose":[42],"generic":[43],"element":[44],"location":[47],"covered":[48],"reader(s)":[51],"made":[53],"detection":[55],"at":[56],"corresponding":[58],"time":[59,119],"point.":[60],"The":[61,88],"guided":[64],"integrity":[66],"constraints":[67,152],"and":[68,75,188,220,224],"consists":[69,98],"discarding":[71],"inconsistent":[73,243],"assigning":[76],"others":[79],"suitable":[81],"probability":[82,143,164],"being":[84],"actual":[86],"one.":[87],"probabilities":[89,110,123,172,192],"evaluated":[91],"adopting":[93],"conditioning":[95,139],"logically":[97],"following":[101],"steps.":[102],"First,":[103],"assigned":[107],"priori":[109,142,163,171,191],"rely":[112],"on":[113],"independence":[115],"assumption":[116],"between":[117],"points.":[120],"Then,":[121],"these":[122,181],"revised":[125],"according":[126],"spatio-temporal":[129],"correlations":[130],"encoded":[131],"constraints.":[134],"This":[135],"done":[137],"each":[145],"event":[149],"satisfied:":[154],"means":[156],"taking":[157],"ratio":[159],"sum":[167],"all":[174,185],"consistent":[176],"trajectories.":[177,244],"Instead":[178],"performing":[180],"steps":[182],"materializing":[184],"their":[189,221],"(which":[193],"infeasible,":[195],"owing":[196],"typically":[199],"huge":[200],"number":[201],"trajectories),":[203],"our":[204],"approach":[205],"exploits":[206],"structure":[209],"called":[210],"conditioned":[211,222],"graph":[213],"(ct-graph)":[214],"compactly":[216],"represents":[217],"probabilities,":[223],"an":[225],"algorithm":[226],"efficiently":[228],"constructing":[229],"ct-graph,":[231],"which":[232],"progressively":[233],"builds":[234],"it":[235],"while":[236],"avoiding":[237],"construction":[239],"components":[241],"encoding":[242]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}