{"id":"https://openalex.org/W2610416651","doi":"https://doi.org/10.1145/3124104.3124108","title":"Cleansing indoor RFID tracking data","display_name":"Cleansing indoor RFID tracking data","publication_year":2017,"publication_date":"2017-07-13","ids":{"openalex":"https://openalex.org/W2610416651","doi":"https://doi.org/10.1145/3124104.3124108","mag":"2610416651"},"language":"en","primary_location":{"id":"doi:10.1145/3124104.3124108","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3124104.3124108","pdf_url":null,"source":{"id":"https://openalex.org/S27924493","display_name":"SIGSPATIAL Special","issn_l":"1946-7729","issn":["1946-7729"],"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":"SIGSPATIAL Special","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5278/vbn.phd.engsci.00160","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000525839","display_name":"Asif Iqbal Baba","orcid":null},"institutions":[{"id":"https://openalex.org/I6026837","display_name":"Tuskegee University","ror":"https://ror.org/0137n4m74","country_code":"US","type":"education","lineage":["https://openalex.org/I6026837"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Asif Iqbal Baba","raw_affiliation_strings":["Tuskegee University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tuskegee University","institution_ids":["https://openalex.org/I6026837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079711114","display_name":"Hua Lu","orcid":"https://orcid.org/0000-0003-1199-6678"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Hua Lu","raw_affiliation_strings":["Aalborg University, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061064237","display_name":"Torben Bach Pedersen","orcid":"https://orcid.org/0000-0002-1615-777X"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Torben Bach Pedersen","raw_affiliation_strings":["Aalborg University, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014289413","display_name":"Manfred Jaeger","orcid":"https://orcid.org/0000-0002-5641-8153"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Manfred Jaeger","raw_affiliation_strings":["Aalborg University, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000525839"],"corresponding_institution_ids":["https://openalex.org/I6026837"],"apc_list":null,"apc_paid":null,"fwci":0.5845,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69157993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"9","issue":"1","first_page":"11","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9988999962806702,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8384664058685303},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6595171689987183},{"id":"https://openalex.org/keywords/radio-frequency-identification","display_name":"Radio-frequency identification","score":0.6078200340270996},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5809690356254578},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5643831491470337},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5364966988563538},{"id":"https://openalex.org/keywords/data-cleansing","display_name":"Data cleansing","score":0.5262063145637512},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46530041098594666},{"id":"https://openalex.org/keywords/false-positives-and-false-negatives","display_name":"False positives and false negatives","score":0.43691858649253845},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4314190149307251},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4285407066345215},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3591652512550354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34422385692596436},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.2210267186164856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.19270962476730347},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.15725091099739075},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14260926842689514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8384664058685303},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6595171689987183},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.6078200340270996},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5809690356254578},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5643831491470337},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5364966988563538},{"id":"https://openalex.org/C42199009","wikidata":"https://www.wikidata.org/wiki/Q1172378","display_name":"Data cleansing","level":4,"score":0.5262063145637512},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46530041098594666},{"id":"https://openalex.org/C112789634","wikidata":"https://www.wikidata.org/wiki/Q18207010","display_name":"False positives and false negatives","level":3,"score":0.43691858649253845},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4314190149307251},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4285407066345215},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3591652512550354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34422385692596436},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2210267186164856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.19270962476730347},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.15725091099739075},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14260926842689514},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3124104.3124108","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3124104.3124108","pdf_url":null,"source":{"id":"https://openalex.org/S27924493","display_name":"SIGSPATIAL Special","issn_l":"1946-7729","issn":["1946-7729"],"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":"SIGSPATIAL Special","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/37bccfd4-36e5-43d3-8c54-d56dbfe87fb1","is_oa":false,"landing_page_url":"https://dl.acm.org/citation.cfm?doid=3124104.3124108","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Baba , A I , Lu , H , Pedersen , T B &amp; Jaeger , M 2017 , ' Cleansing indoor RFID tracking data ' , SIGSPATIAL Special , vol. 9 , no. 1 , pp. 11-18 . https://doi.org/10.1145/3124104.3124108","raw_type":"article"},{"id":"pmh:oai:pure.atira.dk:publications/c84efc38-df13-44b8-806a-0280c6a06f99","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/c84efc38-df13-44b8-806a-0280c6a06f99","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"doi:10.5278/vbn.phd.engsci.00160","is_oa":true,"landing_page_url":"https://doi.org/10.5278/vbn.phd.engsci.00160","pdf_url":null,"source":{"id":"https://openalex.org/S7407051118","display_name":"Aalborg University Library","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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.5278/vbn.phd.engsci.00160","is_oa":true,"landing_page_url":"https://doi.org/10.5278/vbn.phd.engsci.00160","pdf_url":null,"source":{"id":"https://openalex.org/S7407051118","display_name":"Aalborg University Library","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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1991133427","https://openalex.org/W2007321142","https://openalex.org/W2079848516","https://openalex.org/W2093751752","https://openalex.org/W2105594594","https://openalex.org/W2152210322","https://openalex.org/W2424974143","https://openalex.org/W6682631385"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W1973412793","https://openalex.org/W2099261052","https://openalex.org/W4292605373","https://openalex.org/W2951146195","https://openalex.org/W4226316650","https://openalex.org/W3123215897","https://openalex.org/W2153600354","https://openalex.org/W4243739114"],"abstract_inverted_index":{"The":[0],"Radio-Frequency":[1],"Identification":[2],"(RFID)":[3],"technology":[4],"has":[5],"been":[6],"increasingly":[7],"deployed":[8],"in":[9,61,70],"indoor":[10,62,101,169],"environments":[11],"for":[12,48,191],"object":[13,179],"tracking":[14],"and":[15,26,32,79,108,145,181,213],"monitoring.":[16],"However,":[17],"the":[18,45,100,103,115,134,150,166,175,192,195,199,202,219,225,233],"uncertain":[19],"characteristics":[20],"of":[21,40,105,168,177,194,218],"RFID":[22,29,46,59,72,106,128,158,170,183,189],"data,":[23],"including":[24],"noise":[25],"incompleteness":[27],"hinder":[28],"data":[30,47,60,171,190],"querying":[31],"analysis":[33],"at":[34],"higher":[35],"levels.":[36],"Hence,":[37],"it":[38],"is":[39,205],"paramount":[41],"importance":[42],"to":[43,98,130,141,164,207,212],"cleanse":[44],"such":[49,71],"applications.":[50],"This":[51],"paper":[52],"introduces":[53],"our":[54,85],"comprehensive":[55],"research":[56],"on":[57,66,133],"cleansing":[58,139,209],"settings.":[63],"We":[64,112,185],"focus":[65],"two":[67],"inherent":[68],"errors":[69],"data:":[73],"false":[74,80,143,147],"positives":[75,144],"(unexpected":[76],"cross":[77],"readings)":[78],"negatives":[81],"(missing":[82],"readings).":[83],"In":[84,149],"proposed":[86,135],"graph":[87,97,116,220],"model":[88,221],"based":[89,222],"approach":[90,152,204],",":[91,153],"we":[92,137,154],"design":[93,138],"a":[94],"probabilistic":[95],"distance-aware":[96],"represent":[99],"topology,":[102],"deployment":[104],"readers":[107],"their":[109],"sensing":[110],"parameters.":[111,197],"also":[113],"augment":[114],"with":[117],"transition":[118],"probabilities":[119],"that":[120,217],"capture":[121,165],"how":[122],"likely":[123],"objects":[124],"move":[125],"from":[126],"one":[127],"reader":[129],"another.":[131],"Based":[132],"graph,":[136],"algorithms":[140],"reduce":[142],"recover":[146],"negatives.":[148],"learning-based":[151,203],"propose":[155],"an":[156],"Indoor":[157],"Multi-variate":[159],"Hidden":[160],"Markov":[161],"Model":[162],"(IR-MHMM)":[163],"uncertainties":[167],"as":[172,174],"well":[173],"correlation":[176],"moving":[178],"locations":[180],"object's":[182],"readings.":[184],"solely":[186],"use":[187],"raw":[188],"learning":[193],"IR-MHMM":[196],"Using":[198],"resulting":[200],"IR-MHMM,":[201],"able":[206],"deliver":[208],"performance":[210],"comparable":[211],"even":[214],"better":[215],"than":[216,232],"approach,":[223],"although":[224],"former":[226],"requires":[227],"much":[228],"less":[229],"prior":[230],"knowledge":[231],"latter.":[234]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
