{"id":"https://openalex.org/W2247837759","doi":"https://doi.org/10.1109/fskd.2015.7382087","title":"Feature selection and knowledge extraction from buppu 2000 and 2010 censuses using artificial intelligence","display_name":"Feature selection and knowledge extraction from buppu 2000 and 2010 censuses using artificial intelligence","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2247837759","doi":"https://doi.org/10.1109/fskd.2015.7382087","mag":"2247837759"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2015.7382087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (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/A5073695370","display_name":"Subana Shanmuganathan","orcid":"https://orcid.org/0000-0002-8303-4091"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Subana Shanmuganathan","raw_affiliation_strings":["School of Computing and Mathematical Sciences, Auckland University of Technology (AUT), Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematical Sciences, Auckland University of Technology (AUT), Auckland, New Zealand","institution_ids":["https://openalex.org/I39854758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101759397","display_name":"Yan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I157921009","display_name":"Ritsumeikan Asia Pacific University","ror":"https://ror.org/03ynn1n59","country_code":"JP","type":"education","lineage":["https://openalex.org/I157921009","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Li Yan","raw_affiliation_strings":["College of Asia Pacific Study, Asia Pacific University (APU), Beppu, Japan"],"affiliations":[{"raw_affiliation_string":"College of Asia Pacific Study, Asia Pacific University (APU), Beppu, Japan","institution_ids":["https://openalex.org/I157921009"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073695370"],"corresponding_institution_ids":["https://openalex.org/I39854758"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12767932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"1047","last_page":"1054"},"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":0.9858999848365784,"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":0.9858999848365784,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9474999904632568,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9455999732017517,"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/computer-science","display_name":"Computer science","score":0.727750837802887},{"id":"https://openalex.org/keywords/census","display_name":"Census","score":0.6882562637329102},{"id":"https://openalex.org/keywords/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.6165266633033752},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5832889080047607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5771709680557251},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5154832005500793},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5128653049468994},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4402354061603546},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4332926273345947},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.42815423011779785},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4239239990711212},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42348712682724},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4175439774990082},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4110603332519531},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3251383304595947},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1220005452632904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.727750837802887},{"id":"https://openalex.org/C52130261","wikidata":"https://www.wikidata.org/wiki/Q39825","display_name":"Census","level":3,"score":0.6882562637329102},{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.6165266633033752},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5832889080047607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5771709680557251},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5154832005500793},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5128653049468994},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4402354061603546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4332926273345947},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.42815423011779785},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4239239990711212},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42348712682724},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4175439774990082},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4110603332519531},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3251383304595947},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1220005452632904},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2015.7382087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W192855296","https://openalex.org/W1566376227","https://openalex.org/W1670263352","https://openalex.org/W1967908718","https://openalex.org/W2109407694","https://openalex.org/W2118633964","https://openalex.org/W2144762084","https://openalex.org/W2165878497","https://openalex.org/W6641951460"],"related_works":["https://openalex.org/W125190552","https://openalex.org/W3116127582","https://openalex.org/W2128472366","https://openalex.org/W4381325288","https://openalex.org/W3177133878","https://openalex.org/W3096006032","https://openalex.org/W2774470613","https://openalex.org/W2914651671","https://openalex.org/W2979888616","https://openalex.org/W2181623654"],"abstract_inverted_index":{"The":[0,73],"census":[1,33,67],"of":[2,21,38,42,75,93,107],"population":[3],"and":[4,71,86,90,101,119],"dwellings":[5],"undertaken":[6],"by":[7],"national":[8],"state":[9],"institutions":[10],"world":[11],"over":[12],"at":[13],"regular":[14],"time":[15],"intervals,":[16],"is":[17,54],"a":[18,39],"fantastic":[19],"source":[20],"information.":[22],"However,":[23],"there":[24],"are":[25],"major":[26],"challenges":[27],"to":[28,56],"overcome":[29],"when":[30],"transforming":[31],"the":[32,76],"data":[34],"that":[35,61,104],"usually":[36],"consists":[37],"vast":[40],"number":[41],"attributes,":[43],"into":[44],"useful":[45],"knowledge.":[46],"In":[47],"this":[48],"paper,":[49],"an":[50],"artificial":[51,79],"intelligent":[52],"approach":[53],"investigated":[55],"select":[57],"appropriate":[58],"attribute":[59],"features":[60],"indicate":[62],"interesting":[63],"patterns":[64,100],"in":[65,69,109],"Beppu":[66],"wards":[68],"2000":[70],"2010.":[72],"results":[74],"SOM":[77],"(unsupervised":[78],"neural":[80],"network)":[81],"based":[82],"clustering,":[83],"GIS":[84],"visualisation":[85],"machine":[87],"learning":[88],"(J48":[89],"JRip":[91],"functions":[92],"WEKA),":[94],"provide":[95],"relevant":[96],"discerning":[97],"features,":[98],"new":[99,102],"knowledge":[103],"can":[105],"be":[106],"use":[108],"many":[110],"application":[111],"domains,":[112],"such":[113],"as":[114],"urban":[115],"planning,":[116],"resources":[117],"management":[118],"transport":[120],"planning.":[121]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}