{"id":"https://openalex.org/W1991148442","doi":"https://doi.org/10.1109/icc.2014.6883310","title":"INBS: An Improved Naive Bayes Simple learning approach for accurate indoor localization","display_name":"INBS: An Improved Naive Bayes Simple learning approach for accurate indoor localization","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W1991148442","doi":"https://doi.org/10.1109/icc.2014.6883310","mag":"1991148442"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2014.6883310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2014.6883310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Communications (ICC)","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/A5068495374","display_name":"Wenzhe Zhang","orcid":"https://orcid.org/0009-0005-4734-2977"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenzhe Zhang","raw_affiliation_strings":["School of Software, Dalian University of Technology, China","School of Software, Dalian University of Technology,DaLian,China"],"affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Software, Dalian University of Technology,DaLian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436103","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0003-1887-6222"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Software, Dalian University of Technology, China","School of Software, Dalian University of Technology,DaLian,China"],"affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Software, Dalian University of Technology,DaLian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064462299","display_name":"Zhenquan Qin","orcid":"https://orcid.org/0000-0002-5804-276X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenquan Qin","raw_affiliation_strings":["School of Software, Dalian University of Technology, China","School of Software, Dalian University of Technology,DaLian,China"],"affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Software, Dalian University of Technology,DaLian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108254785","display_name":"Xueshu Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueshu Zheng","raw_affiliation_strings":["School of Software, Dalian University of Technology, China","School of Software, Dalian University of Technology,DaLian,China"],"affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Software, Dalian University of Technology,DaLian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010762548","display_name":"Liang Sun","orcid":"https://orcid.org/0000-0002-7900-4447"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Sun","raw_affiliation_strings":["School of Software, Dalian University of Technology, China","School of Software, Dalian University of Technology,DaLian,China"],"affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Software, Dalian University of Technology,DaLian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018765666","display_name":"Naigao Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naigao Jin","raw_affiliation_strings":["Dalian University of Technology","School of Software, Dalian University of Technology,DaLian,China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Software, Dalian University of Technology,DaLian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007723627","display_name":"Lei Shu","orcid":"https://orcid.org/0000-0002-6700-9347"},"institutions":[{"id":"https://openalex.org/I4210128140","display_name":"Guangdong University of Petrochemical Technology","ror":"https://ror.org/030ffke25","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128140"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Shu","raw_affiliation_strings":["Guangdong University of Petrochemical Technology","Guangdong Petrochem. Equip. Fault Diagnosis Key Lab., Guangdong Univ. of Petrochem. Technol., Maoming, China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Petrochemical Technology","institution_ids":["https://openalex.org/I4210128140"]},{"raw_affiliation_string":"Guangdong Petrochem. Equip. Fault Diagnosis Key Lab., Guangdong Univ. of Petrochem. Technol., Maoming, China","institution_ids":["https://openalex.org/I4210128140"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5068495374"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.4255,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.66816151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"148","last_page":"153"},"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.991599977016449,"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"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9897000193595886,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7586007118225098},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7572987079620361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.740858256816864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.670807957649231},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.6037794351577759},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5999441146850586},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5354506969451904},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48273369669914246},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.4527197480201721},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.4229670763015747},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.20928719639778137},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.18590909242630005},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.09867087006568909}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7586007118225098},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7572987079620361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.740858256816864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.670807957649231},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6037794351577759},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5999441146850586},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5354506969451904},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48273369669914246},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.4527197480201721},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.4229670763015747},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.20928719639778137},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.18590909242630005},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.09867087006568909},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":1,"locations":[{"id":"doi:10.1109/icc.2014.6883310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2014.6883310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W94690708","https://openalex.org/W1967069582","https://openalex.org/W1968676143","https://openalex.org/W1981198439","https://openalex.org/W1981831056","https://openalex.org/W2050582265","https://openalex.org/W2075744751","https://openalex.org/W2091902764","https://openalex.org/W2133990480","https://openalex.org/W2154063698","https://openalex.org/W2158350802","https://openalex.org/W2160434630","https://openalex.org/W2165381982","https://openalex.org/W2170102584","https://openalex.org/W2179597763","https://openalex.org/W4239639018","https://openalex.org/W6603873619","https://openalex.org/W6645757681"],"related_works":["https://openalex.org/W1585007175","https://openalex.org/W2382521049","https://openalex.org/W2144385241","https://openalex.org/W2165950148","https://openalex.org/W4253593777","https://openalex.org/W2951497643","https://openalex.org/W4300101996","https://openalex.org/W2394466068","https://openalex.org/W2537862391","https://openalex.org/W2417174640"],"abstract_inverted_index":{"Indoor":[0],"localization":[1,19,29],"based":[2,78,96],"on":[3,79,97,113],"WiFi":[4,99],"signal":[5],"strength":[6],"fingerprinting":[7],"techniques":[8],"have":[9,21],"been":[10,22],"attracting":[11],"many":[12],"research":[13],"efforts":[14],"in":[15,24,121,154],"past":[16],"decades.":[17],"Many":[18],"algorithms":[20,38,147,153],"proposed":[23],"order":[25,62],"to":[26,63],"achieve":[27],"higher":[28],"accuracy.":[30,60,157],"In":[31,61],"this":[32,65],"paper,":[33],"we":[34,67],"investigate":[35],"Bayes":[36,72,142],"learning":[37,43,74,106,152],"and":[39,103,125,143,148],"some":[40],"common-used":[41,150],"machine":[42,105,151],"algorithms.":[44],"We":[45,93],"identify":[46],"a":[47,114,122,126],"general":[48],"problem":[49,91],"of":[50,59,156],"Zero":[51,89],"Probability":[52,90],"(ZP)":[53],"which":[54],"may":[55],"cause":[56],"significant":[57],"decrease":[58],"solve":[64],"problem,":[66],"propose":[68],"an":[69],"Improved":[70],"Naive":[71,141],"Simple":[73],"algorithm,":[75],"namely":[76],"INBS,":[77],"our":[80],"data":[81],"set":[82],"characteristic.":[83],"INBS":[84,138],"is":[85],"applicable":[86],"even":[87],"though":[88],"occurs.":[92],"design":[94],"experiments":[95,110],"off-the-shelf":[98],"devices,":[100],"mobile":[101],"phones":[102],"well-known":[104],"tool":[107],"Weka.":[108],"Our":[109],"are":[111],"conducted":[112],"floor":[115],"covering":[116,128],"560m":[117],"<sup":[118,130],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[119,131],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[120,132],"campus":[123],"building":[124],"laboratory":[127],"78m":[129],".":[133],"Experiment":[134],"results":[135],"show":[136],"that":[137],"outperforms":[139],"traditional":[140],"k-Nearest":[144],"Neighbors":[145],"(k-NN)":[146],"two":[149],"terms":[155]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}