{"id":"https://openalex.org/W2531101556","doi":"https://doi.org/10.3390/ijgi5100189","title":"Hidden Naive Bayes Indoor Fingerprinting Localization Based on Best-Discriminating AP Selection","display_name":"Hidden Naive Bayes Indoor Fingerprinting Localization Based on Best-Discriminating AP Selection","publication_year":2016,"publication_date":"2016-10-10","ids":{"openalex":"https://openalex.org/W2531101556","doi":"https://doi.org/10.3390/ijgi5100189","mag":"2531101556"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi5100189","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi5100189","pdf_url":"https://www.mdpi.com/2220-9964/5/10/189/pdf?version=1476786190","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/5/10/189/pdf?version=1476786190","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022159399","display_name":"Chunjing Song","orcid":"https://orcid.org/0000-0001-6392-3775"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunjing Song","raw_affiliation_strings":["Jiangsu Key Laboratory of Resources and Environment Information Engineering, Xuzhou 221116, China","School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":"https://orcid.org/0000-0001-6392-3775","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Resources and Environment Information Engineering, Xuzhou 221116, China","institution_ids":[]},{"raw_affiliation_string":"School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773356","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0003-1748-6409"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Wang","raw_affiliation_strings":["Jiangsu Key Laboratory of Resources and Environment Information Engineering, Xuzhou 221116, China","School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Resources and Environment Information Engineering, Xuzhou 221116, China","institution_ids":[]},{"raw_affiliation_string":"School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038687122","display_name":"Guan Yuan","orcid":"https://orcid.org/0000-0003-3148-9817"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guan Yuan","raw_affiliation_strings":["School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China"],"raw_orcid":"https://orcid.org/0000-0003-3148-9817","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100773356"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":2.4176,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.89856778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"5","issue":"10","first_page":"189","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9783999919891357,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7434511184692383},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.7356054782867432},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6863716840744019},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.5928221940994263},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.587431013584137},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5822426080703735},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5704647898674011},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.511424720287323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4908931851387024},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4495375156402588},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4365882873535156},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16324383020401},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15233716368675232},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.11726117134094238}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7434511184692383},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.7356054782867432},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6863716840744019},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.5928221940994263},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.587431013584137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5822426080703735},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5704647898674011},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.511424720287323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4908931851387024},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4495375156402588},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4365882873535156},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16324383020401},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15233716368675232},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.11726117134094238},{"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":3,"locations":[{"id":"doi:10.3390/ijgi5100189","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi5100189","pdf_url":"https://www.mdpi.com/2220-9964/5/10/189/pdf?version=1476786190","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bde290f680fb47389446193deafcf83b","is_oa":true,"landing_page_url":"https://doaj.org/article/bde290f680fb47389446193deafcf83b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 5, Iss 10, p 189 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/5/10/189/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi5100189","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information; Volume 5; Issue 10; Pages: 189","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi5100189","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi5100189","pdf_url":"https://www.mdpi.com/2220-9964/5/10/189/pdf?version=1476786190","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2834952543","display_name":null,"funder_award_id":"2016YFC0803103","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2531101556.pdf","grobid_xml":"https://content.openalex.org/works/W2531101556.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1500895378","https://openalex.org/W1808644423","https://openalex.org/W1871887906","https://openalex.org/W1981373725","https://openalex.org/W1983291981","https://openalex.org/W1994961964","https://openalex.org/W2027651497","https://openalex.org/W2032477387","https://openalex.org/W2033354122","https://openalex.org/W2036998483","https://openalex.org/W2054799039","https://openalex.org/W2056818180","https://openalex.org/W2059147177","https://openalex.org/W2072115735","https://openalex.org/W2100989187","https://openalex.org/W2108126247","https://openalex.org/W2120234055","https://openalex.org/W2131648681","https://openalex.org/W2143243918","https://openalex.org/W2144723957","https://openalex.org/W2148868231","https://openalex.org/W2156571267","https://openalex.org/W2170102584","https://openalex.org/W2172238468","https://openalex.org/W2245547611","https://openalex.org/W2273410772","https://openalex.org/W2278572312","https://openalex.org/W2295205072","https://openalex.org/W2330867128","https://openalex.org/W2403864116","https://openalex.org/W6638249342","https://openalex.org/W6657225674","https://openalex.org/W6681983093","https://openalex.org/W6682904970","https://openalex.org/W6697112600","https://openalex.org/W6713440441"],"related_works":["https://openalex.org/W426968574","https://openalex.org/W2365639220","https://openalex.org/W2382520895","https://openalex.org/W2393709043","https://openalex.org/W2080567403","https://openalex.org/W2539387137","https://openalex.org/W2374952201","https://openalex.org/W2374808384","https://openalex.org/W2385449752","https://openalex.org/W2619844325"],"abstract_inverted_index":{"Indoor":[0],"fingerprinting":[1],"localization":[2,44,248],"approaches":[3],"estimate":[4,194],"the":[5,43,75,93,98,114,118,136,140,147,151,160,163,167,183,195,200,210,214,221,230,240,243,252],"location":[6,106,119],"of":[7,14,78,100,103,139,143,153,162,213,223,233,242],"a":[8,53,59],"mobile":[9],"object":[10],"by":[11,82],"matching":[12],"observations":[13,155],"received":[15],"signal":[16],"strengths":[17],"(RSS)":[18],"from":[19],"access":[20],"points":[21],"(APs)":[22],"with":[23,37,51,176],"fingerprint":[24],"records.":[25],"In":[26,146],"real":[27,201],"WLAN":[28,202],"environments,":[29],"there":[30],"are":[31,89,218],"more":[32,34,204],"and":[33,46,65,206,226,235,250],"APs":[35,79,88,102,142,165],"available,":[36],"interference":[38],"between":[39,95],"them,":[40],"which":[41,109,170,198],"increases":[42],"difficulty":[45],"computational":[47,253],"consumption.":[48,254],"To":[49],"cope":[50],"this,":[52],"novel":[54,60],"AP":[55],"selection":[56],"method,":[57],"LocalReliefF-C(":[58],"method":[61,126],"based":[62],"on":[63,71,166,246],"ReliefF":[64],"correlation":[66],"coefficient),":[67],"is":[68,80,107,120,127,156,171,191],"proposed.":[69],"Firstly,":[70],"each":[72,104],"reference":[73,105],"location,":[74,169,197],"positioning":[76],"capability":[77],"ranked":[81],"calculating":[83],"classification":[84],"weights.":[85],"Then,":[86,186],"redundant":[87],"removed":[90],"via":[91],"computing":[92],"correlations":[94],"APs.":[96,215],"Finally,":[97],"set":[99,161],"best-discriminating":[101,141,164],"obtained,":[108],"will":[110],"be":[111],"used":[112,173],"as":[113],"input":[115],"features":[116],"when":[117],"estimated.":[121],"Furthermore,":[122],"an":[123],"effective":[124],"clustering":[125],"adopted":[128],"to":[129,135,158,174,181,193],"group":[130],"locations":[131],"into":[132,208],"clusters":[133],"according":[134],"common":[137],"subsets":[138],"these":[144],"locations.":[145],"online":[148],"stage,":[149],"firstly,":[150],"sequence":[152],"RSS":[154],"collected":[157],"calculate":[159],"given":[168],"subsequently":[172],"compare":[175],"cluster":[177],"keys":[178],"in":[179,220],"order":[180],"determine":[182],"target":[184,196],"cluster.":[185],"hidden":[187],"naive":[188],"Bayes":[189],"(HNB)":[190],"introduced":[192],"depicts":[199],"environment":[203],"accurately":[205],"takes":[207],"account":[209],"mutual":[211],"interaction":[212],"The":[216,237],"experiments":[217],"conducted":[219],"School":[222],"Environmental":[224],"Science":[225],"Spatial":[227],"Informatics":[228],"at":[229],"China":[231],"University":[232],"Mining":[234],"Technology.":[236],"results":[238],"validate":[239],"effectiveness":[241],"proposed":[244],"methods":[245],"improving":[247],"accuracy":[249],"reducing":[251]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
