{"id":"https://openalex.org/W4389077376","doi":"https://doi.org/10.1109/icmlc58545.2023.10327996","title":"Clustering Analysis of a Spatiotemporal Dataset with a Novel Kernel Density Estimator","display_name":"Clustering Analysis of a Spatiotemporal Dataset with a Novel Kernel Density Estimator","publication_year":2023,"publication_date":"2023-07-09","ids":{"openalex":"https://openalex.org/W4389077376","doi":"https://doi.org/10.1109/icmlc58545.2023.10327996"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc58545.2023.10327996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc58545.2023.10327996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5102584385","display_name":"Jen-Chien Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4387154394","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/00hfj7g70","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154394"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jen-Chien Yu","raw_affiliation_strings":["National Kaohsiung University of Science and Technology,Department of Computer Science and Information Engineering,Kaohsiung City,Taiwan, ROC,807618"],"affiliations":[{"raw_affiliation_string":"National Kaohsiung University of Science and Technology,Department of Computer Science and Information Engineering,Kaohsiung City,Taiwan, ROC,807618","institution_ids":["https://openalex.org/I4387154394","https://openalex.org/I4387154394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101660516","display_name":"Chun\u2010Chieh Yang","orcid":"https://orcid.org/0000-0002-1897-5338"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Chieh Yang","raw_affiliation_strings":["National Taiwan University,Master Program in Statistics,Taipei,Taiwan, ROC,106216"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Master Program in Statistics,Taipei,Taiwan, ROC,106216","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085950480","display_name":"John Reuben Gilbert","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"John Reuben Gilbert","raw_affiliation_strings":["National Taiwan University,Department of Computer Science & Information Engineering"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Department of Computer Science & Information Engineering","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111081684","display_name":"Rou-Jun Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Rou-Jun Liu","raw_affiliation_strings":["National Taiwan University,Master Program in Statistics,Taipei,Taiwan, ROC,106216"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Master Program in Statistics,Taipei,Taiwan, ROC,106216","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025555646","display_name":"Yen\u2010Jen Oyang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Jen Oyang","raw_affiliation_strings":["Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University"],"affiliations":[{"raw_affiliation_string":"Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087539432","display_name":"Meng-Han Yang","orcid":"https://orcid.org/0000-0002-7583-040X"},"institutions":[{"id":"https://openalex.org/I4387154394","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/00hfj7g70","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154394"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Meng-Han Yang","raw_affiliation_strings":["National Kaohsiung University of Science and Technology,Department of Computer Science and Information Engineering,Kaohsiung City,Taiwan, ROC,807618"],"affiliations":[{"raw_affiliation_string":"National Kaohsiung University of Science and Technology,Department of Computer Science and Information Engineering,Kaohsiung City,Taiwan, ROC,807618","institution_ids":["https://openalex.org/I4387154394","https://openalex.org/I4387154394"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102584385"],"corresponding_institution_ids":["https://openalex.org/I4387154394"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16832551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"417","last_page":"422"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9965000152587891,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9889000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.7910851836204529},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7563897371292114},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.6865453720092773},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6559563279151917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6248554587364197},{"id":"https://openalex.org/keywords/multivariate-kernel-density-estimation","display_name":"Multivariate kernel density estimation","score":0.6198517680168152},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5255381464958191},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5242139101028442},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4816264510154724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43453487753868103},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.42584890127182007},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4243411719799042},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41505375504493713},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3398982286453247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27556127309799194},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1261836290359497}],"concepts":[{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.7910851836204529},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7563897371292114},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.6865453720092773},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6559563279151917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6248554587364197},{"id":"https://openalex.org/C84894716","wikidata":"https://www.wikidata.org/wiki/Q6935135","display_name":"Multivariate kernel density estimation","level":5,"score":0.6198517680168152},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5255381464958191},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5242139101028442},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4816264510154724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43453487753868103},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.42584890127182007},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4243411719799042},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41505375504493713},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3398982286453247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27556127309799194},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1261836290359497},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc58545.2023.10327996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc58545.2023.10327996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2438487383","display_name":null,"funder_award_id":"FD-107016","funder_id":"https://openalex.org/F4320323900","funder_display_name":"National Taiwan University"}],"funders":[{"id":"https://openalex.org/F4320323900","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1519327417","https://openalex.org/W1529921617","https://openalex.org/W1987971958","https://openalex.org/W2082851087","https://openalex.org/W2094551066","https://openalex.org/W2119721623","https://openalex.org/W2126194848","https://openalex.org/W2150398411","https://openalex.org/W2150495678","https://openalex.org/W2150593711","https://openalex.org/W2154002592","https://openalex.org/W2581907372","https://openalex.org/W2586054660","https://openalex.org/W2623293810","https://openalex.org/W2963214893","https://openalex.org/W4239600943","https://openalex.org/W4248721357","https://openalex.org/W6733066603"],"related_works":["https://openalex.org/W2355371556","https://openalex.org/W2369488729","https://openalex.org/W3212687977","https://openalex.org/W2087391746","https://openalex.org/W4241010850","https://openalex.org/W2375654472","https://openalex.org/W2899726877","https://openalex.org/W1834385407","https://openalex.org/W2161690219","https://openalex.org/W2177180770"],"abstract_inverted_index":{"A":[0],"vast":[1],"number":[2],"of":[3,11,39],"spatiotemporal":[4,75,127],"datasets":[5],"collected":[6,78],"from":[7],"a":[8,37,57,73,84,105],"wide":[9],"range":[10],"sources":[12],"has":[13],"motivated":[14],"scientists":[15],"to":[16,20,36,63,69,119],"develop":[17],"effective":[18],"approaches":[19],"identify":[21,120],"interesting":[22,121],"patterns":[23,122],"hidden":[24,123],"in":[25,42,48,83,86,124],"these":[26],"datasets.":[27],"In":[28],"this":[29,52],"respect,":[30],"kernel":[31,59,92,107,116],"density":[32,60,93,99,108,117],"estimators,":[33],"which":[34,77],"belong":[35],"class":[38],"non-parametric":[40],"estimators":[41],"statistics,":[43],"have":[44,55,112],"been":[45],"widely":[46],"exploited":[47,113],"recent":[49],"years.":[50],"With":[51],"background,":[53],"we":[54,111],"developed":[56],"novel":[58],"estimator":[61,94,118],"aiming":[62],"provide":[64],"accurate":[65],"analysis":[66],"results.":[67],"According":[68],"the":[70,87,90,97,114,125],"evaluation":[71],"with":[72],"real":[74,126],"dataset,":[76],"emergency":[79],"medical":[80],"service":[81],"records":[82],"county":[85],"United":[88],"States,":[89],"proposed":[91,115],"can":[95],"approximate":[96],"probability":[98],"function":[100],"significantly":[101],"more":[102],"accurately":[103],"than":[104],"conventional":[106],"estimator.":[109],"Furthermore,":[110],"dataset.":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}