{"id":"https://openalex.org/W2810309808","doi":"https://doi.org/10.1109/fskd.2017.8393005","title":"Creation of semantic location profiles using Bayes, rule-based, trees and meta classification approaches","display_name":"Creation of semantic location profiles using Bayes, rule-based, trees and meta classification approaches","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2810309808","doi":"https://doi.org/10.1109/fskd.2017.8393005","mag":"2810309808"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5055157201","display_name":"S.C. Ganiachchi","orcid":null},"institutions":[{"id":"https://openalex.org/I195740183","display_name":"University of Moratuwa","ror":"https://ror.org/0491f5305","country_code":"LK","type":"education","lineage":["https://openalex.org/I195740183"]}],"countries":["LK"],"is_corresponding":true,"raw_author_name":"S.C. Ganiachchi","raw_affiliation_strings":["Faculty of Information Technology, University of Moratuwa, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Moratuwa, Sri Lanka","institution_ids":["https://openalex.org/I195740183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009014161","display_name":"Senuri Wijenayake","orcid":"https://orcid.org/0000-0003-1985-0227"},"institutions":[{"id":"https://openalex.org/I195740183","display_name":"University of Moratuwa","ror":"https://ror.org/0491f5305","country_code":"LK","type":"education","lineage":["https://openalex.org/I195740183"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"S.S. Wijenayake","raw_affiliation_strings":["Faculty of Information Technology, University of Moratuwa, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Moratuwa, Sri Lanka","institution_ids":["https://openalex.org/I195740183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043823227","display_name":"J.C. Wijekoon","orcid":null},"institutions":[{"id":"https://openalex.org/I195740183","display_name":"University of Moratuwa","ror":"https://ror.org/0491f5305","country_code":"LK","type":"education","lineage":["https://openalex.org/I195740183"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"J.C. Wijekoon","raw_affiliation_strings":["Faculty of Information Technology, University of Moratuwa, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Moratuwa, Sri Lanka","institution_ids":["https://openalex.org/I195740183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064141023","display_name":"Supunmali Ahangama","orcid":"https://orcid.org/0000-0001-8045-4958"},"institutions":[{"id":"https://openalex.org/I195740183","display_name":"University of Moratuwa","ror":"https://ror.org/0491f5305","country_code":"LK","type":"education","lineage":["https://openalex.org/I195740183"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"S. Ahangama","raw_affiliation_strings":["Faculty of Information Technology, University of Moratuwa, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Moratuwa, Sri Lanka","institution_ids":["https://openalex.org/I195740183"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055157201"],"corresponding_institution_ids":["https://openalex.org/I195740183"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.17954071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"3","issue":null,"first_page":"1604","last_page":"1609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9639999866485596,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9343000054359436,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.784235954284668},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7170312404632568},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.685133695602417},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6415934562683105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.54158616065979},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.501584529876709},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4885738790035248},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.47329726815223694},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46409597992897034},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4616144895553589},{"id":"https://openalex.org/keywords/trips-architecture","display_name":"TRIPS architecture","score":0.45963340997695923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44036608934402466},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2645813822746277},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14306429028511047},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.11641725897789001},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09411481022834778},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0881558358669281}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.784235954284668},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7170312404632568},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.685133695602417},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6415934562683105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.54158616065979},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.501584529876709},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4885738790035248},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.47329726815223694},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46409597992897034},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4616144895553589},{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.45963340997695923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44036608934402466},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2645813822746277},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14306429028511047},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.11641725897789001},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09411481022834778},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0881558358669281},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1489213086","https://openalex.org/W1497462301","https://openalex.org/W1558349653","https://openalex.org/W2086098923","https://openalex.org/W2104825706","https://openalex.org/W2152154199","https://openalex.org/W2160169976","https://openalex.org/W2179934773","https://openalex.org/W2371638596","https://openalex.org/W2587166214","https://openalex.org/W6623737539","https://openalex.org/W6685794647"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2537862391","https://openalex.org/W2417174640"],"abstract_inverted_index":{"Travel":[0],"recommender":[1],"systems":[2],"are":[3],"gaining":[4],"a":[5,19,33,68,76,97,106,141,149],"higher":[6],"popularity":[7],"in":[8,18,43,109,122],"the":[9,27,40,50,62,72,85,92,111,114,117,131,146,154,158,161,165,168,179],"society":[10],"due":[11,38],"to":[12,39,48,57,75,94,128,144],"their":[13],"capability":[14],"of":[15,25,113,119,148,157,167],"planning":[16],"trips":[17],"short":[20],"time":[21],"period.":[22],"The":[23],"challenge":[24],"providing":[26,81],"most":[28,51],"accurate":[29,52],"recommendations":[30,83],"has":[31,67],"become":[32],"complex":[34],"and":[35,164,183],"difficult":[36,127],"task":[37],"numerous":[41],"variations":[42],"user":[44,73],"preferences.":[45],"In":[46],"order":[47],"provide":[49],"recommendations,":[53],"it":[54,88,125],"is":[55,126],"necessary":[56],"consider":[58],"additional":[59],"parameters":[60],"like":[61],"prevailing":[63],"weather":[64,86],"condition,":[65],"which":[66],"direct":[69],"influence":[70],"on":[71,153],"preference":[74],"particular":[77,150],"location.":[78,159],"Therefore,":[79],"when":[80],"travel":[82],"considering":[84],"context,":[87],"was":[89],"identified":[90,155],"that":[91],"ability":[93],"correctly":[95],"identify":[96],"location":[98,132,151],"as":[99,134],"an":[100],"indoor":[101,135],"or":[102,136],"outdoor":[103],"attraction":[104],"plays":[105],"vital":[107],"role":[108],"improving":[110],"accuracy":[112,166],"recommendations.":[115],"Considering":[116],"millions":[118],"locations":[120],"available":[121],"Google":[123],"Places,":[124],"manually":[129],"tag":[130],"status":[133,147],"outdoor.":[137],"This":[138],"paper":[139],"provides":[140],"novel":[142],"approach":[143],"determine":[145],"based":[152],"attributes":[156],"Moreover,":[160],"experimental":[162],"results":[163],"predicted":[169],"outputs":[170],"have":[171],"been":[172],"discussed":[173],"by":[174],"using":[175],"different":[176],"classifiers":[177],"under":[178],"Bayes,":[180],"Rule-Based,":[181],"Trees":[182],"Meta":[184],"classification":[185],"approaches.":[186]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}