{"id":"https://openalex.org/W1981144681","doi":"https://doi.org/10.1109/isda.2010.5687288","title":"Triangular kernel nearest neighbor based clustering for pattern extraction in spatio-temporal database","display_name":"Triangular kernel nearest neighbor based clustering for pattern extraction in spatio-temporal database","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W1981144681","doi":"https://doi.org/10.1109/isda.2010.5687288","mag":"1981144681"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2010.5687288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2010.5687288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 10th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074170577","display_name":"Aina Musdholifah","orcid":"https://orcid.org/0000-0002-9076-6389"},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Aina Musdholifah","raw_affiliation_strings":["Department of Computer Science and Electronic, Gadjah Mada University (UGM), Yogyakarta, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electronic, Gadjah Mada University (UGM), Yogyakarta, Indonesia","institution_ids":["https://openalex.org/I165230279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108032935","display_name":"Siti Zaiton Mohd Hashim","orcid":"https://orcid.org/0000-0001-5122-7166"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Siti Zaiton Mohd Hashim","raw_affiliation_strings":["Faculty of Computer Science and Information System, Universiti Teknologi Malaysia, Skudai, Malaysia","Faculty of Computer Science and Information System, Universiti Teknologi Malaysia (UTM), Skudai, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Information System, Universiti Teknologi Malaysia, Skudai, Malaysia","institution_ids":["https://openalex.org/I4576418"]},{"raw_affiliation_string":"Faculty of Computer Science and Information System, Universiti Teknologi Malaysia (UTM), Skudai, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9990000128746033,"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":0.9990000128746033,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9975000023841858,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7474982738494873},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6327447891235352},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5887032747268677},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5877864360809326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5635480284690857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5387194752693176},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.4127599000930786},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38419461250305176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1590043306350708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7474982738494873},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6327447891235352},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5887032747268677},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5877864360809326},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5635480284690857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5387194752693176},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.4127599000930786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38419461250305176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1590043306350708},{"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/isda.2010.5687288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2010.5687288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 10th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W378852613","https://openalex.org/W966608171","https://openalex.org/W1531774733","https://openalex.org/W1565377632","https://openalex.org/W1970746213","https://openalex.org/W1979896142","https://openalex.org/W1994231679","https://openalex.org/W2016827254","https://openalex.org/W2049967574","https://openalex.org/W2085667878","https://openalex.org/W2109886867","https://openalex.org/W2114773789","https://openalex.org/W2122354896","https://openalex.org/W2482589566","https://openalex.org/W2612166593","https://openalex.org/W2732275699","https://openalex.org/W2799061466","https://openalex.org/W3146003712","https://openalex.org/W4239875977","https://openalex.org/W4242959437","https://openalex.org/W4244189170","https://openalex.org/W6632040774","https://openalex.org/W6633894697","https://openalex.org/W6740710058","https://openalex.org/W6820729558","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W2146076056","https://openalex.org/W1969441054","https://openalex.org/W2354127086","https://openalex.org/W1974273882","https://openalex.org/W2358559774","https://openalex.org/W2110459882","https://openalex.org/W2167440101","https://openalex.org/W2151022383","https://openalex.org/W2167806320","https://openalex.org/W2124135342"],"abstract_inverted_index":{"To":[0],"date,":[1],"various":[2,80,120],"fields":[3],"of":[4,35,56,75,82,92,143],"applications":[5],"have":[6,30],"utilized":[7],"spatio-temporal":[8,57,163],"databases":[9],"not":[10],"only":[11],"to":[12,16,29,48,68,71,96,146],"store":[13],"data,":[14],"but":[15,89,128],"support":[17],"decision":[18],"making.":[19],"For":[20],"example,":[21],"in":[22,38,41,86,161],"traffic":[23],"accident":[24],"analysis;":[25],"it":[26],"is":[27,46,65,94,158],"required":[28],"knowledge":[31],"on":[32],"the":[33,73,87,90,129],"pattern":[34,50],"accidents":[36],"resulting":[37],"death.":[39],"Thus,":[40,156],"such":[42],"analysis,":[43],"clustering":[44,55,135,152,162],"technique":[45],"desired":[47],"implement":[49],"extraction.":[51],"This":[52],"paper":[53],"presents":[54],"database":[58],"using":[59],"kernel":[60,83,100,111,131,148],"nearest":[61,132,149],"neighbor":[62,133,150],"approach.":[63],"It":[64],"chosen":[66],"due":[67],"its":[69],"ability":[70],"determine":[72,97],"number":[74,142],"clusters":[76],"automatically.":[77],"There":[78],"are":[79,117],"types":[81],"functions":[84,124],"exist":[85],"literatures,":[88],"issue":[91],"concern":[93],"how":[95],"an":[98],"appropriate":[99],"function":[101],"for":[102],"this":[103,106],"application.":[104],"In":[105],"study,":[107],"two":[108],"commonly":[109],"used":[110],"functions,":[112],"namely":[113],"Gaussian":[114,147],"and":[115,154],"triangular,":[116],"investigated.":[118],"From":[119],"experiments":[121],"conducted,":[122],"both":[123],"produce":[125],"reasonable":[126],"clusters,":[127],"triangular":[130],"based":[134,151],"(TKNN)":[136],"provides":[137],"better":[138],"performance":[139],"with":[140],"smaller":[141],"iteration":[144],"compared":[145],"(ILGC)":[153],"K-means.":[155],"TKNN":[157],"good":[159],"option":[160],"database.":[164]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
