{"id":"https://openalex.org/W2096496741","doi":"https://doi.org/10.1109/fuzzy.2010.5584860","title":"Temporal and spatial Evolving Knowledge Base system with sequential clustering","display_name":"Temporal and spatial Evolving Knowledge Base system with sequential clustering","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2096496741","doi":"https://doi.org/10.1109/fuzzy.2010.5584860","mag":"2096496741"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2010.5584860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","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/A5079238014","display_name":"Gancho Vachkov","orcid":null},"institutions":[{"id":"https://openalex.org/I201933988","display_name":"Kagawa University","ror":"https://ror.org/04j7mzp05","country_code":"JP","type":"education","lineage":["https://openalex.org/I201933988"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Gancho Vachkov","raw_affiliation_strings":["Department of Reliability-based Information Systems Engineering, Kagawa University, Takamatsu, Kagawa, Japan","Department of Reliability-based Information Systems Engineering, Kagawa University, Hayashi-cho 2217-20, Takamatsu-shi, Kagawa-ken 761-0396, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Reliability-based Information Systems Engineering, Kagawa University, Takamatsu, Kagawa, Japan","institution_ids":["https://openalex.org/I201933988"]},{"raw_affiliation_string":"Department of Reliability-based Information Systems Engineering, Kagawa University, Hayashi-cho 2217-20, Takamatsu-shi, Kagawa-ken 761-0396, Japan","institution_ids":["https://openalex.org/I201933988"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5079238014"],"corresponding_institution_ids":["https://openalex.org/I201933988"],"apc_list":null,"apc_paid":null,"fwci":2.2552,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89501135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9926999807357788,"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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9926999807357788,"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/T10320","display_name":"Neural Networks and Applications","score":0.9923999905586243,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9904000163078308,"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":0.8323436975479126},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.6805805563926697},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6095981597900391},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5938818454742432},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5672727823257446},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.5411819815635681},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.5092524290084839},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.47159823775291443},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.44729289412498474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41851913928985596},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3474471867084503}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8323436975479126},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.6805805563926697},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6095981597900391},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5938818454742432},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5672727823257446},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.5411819815635681},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.5092524290084839},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.47159823775291443},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.44729289412498474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41851913928985596},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3474471867084503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2010.5584860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W27584925","https://openalex.org/W1918303592","https://openalex.org/W1977096235","https://openalex.org/W2007042673","https://openalex.org/W2029064186","https://openalex.org/W2036121527","https://openalex.org/W2051224630","https://openalex.org/W2106807287","https://openalex.org/W2113076747","https://openalex.org/W2117183508","https://openalex.org/W2117454883","https://openalex.org/W2139294708","https://openalex.org/W2151863350","https://openalex.org/W2166322089","https://openalex.org/W2168993425","https://openalex.org/W2171043895","https://openalex.org/W2543580944","https://openalex.org/W6601132006","https://openalex.org/W6676047005","https://openalex.org/W6677925548"],"related_works":["https://openalex.org/W2380472855","https://openalex.org/W2381277088","https://openalex.org/W2382915105","https://openalex.org/W2385713529","https://openalex.org/W101241118","https://openalex.org/W2087210802","https://openalex.org/W1986001501","https://openalex.org/W2160911376","https://openalex.org/W2599749361","https://openalex.org/W1520100787"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,7,54,75,153,159,167],"computational":[4],"scheme":[5],"of":[6,40,42,59,65,94,100,115,127,143,145,162,169,172,204],"novel":[8],"Evolving":[9],"Knowledge":[10,118],"Base":[11,119,186],"system":[12,51,106,149,187],"that":[13,28,157],"is":[14,27,61,72,82,107,112,150,188],"able":[15,83,189],"to":[16,84,190],"gradually":[17],"grow":[18],"and":[19,22,122,136,140,183],"update":[20],"spatially":[21],"temporally.":[23],"The":[24,138],"main":[25],"assumption":[26],"the":[29,34,38,49,66,86,101,108,117,128,141,146,180,184,202],"input":[30],"information":[31],"comes":[32],"from":[33],"real":[35,160],"environment":[36],"in":[37,53,91,113],"form":[39],"chunks":[41,171],"data":[43,46,60,163,175],"(not":[44],"single":[45],"points).":[47],"Therefore":[48],"whole":[50],"works":[52],"quasi-real":[55],"time.":[56],"Each":[57],"chunk":[58],"used":[62],"for":[63],"extraction":[64],"so":[67],"called":[68],"knowledge":[69,88,104,185],"items,":[70],"which":[71],"done":[73],"by":[74,194],"specially":[76,154],"introduced":[77],"sequential":[78],"clustering":[79],"algorithm.":[80],"It":[81,111],"discover":[85],"separate":[87],"items":[89],"sequentially,":[90],"decreasing":[92],"order":[93],"their":[95],"size.":[96],"Another":[97],"important":[98],"block":[99],"proposed":[102,147],"evolving":[103,148,177],"base":[105],"updating":[109,196],"algorithm,":[110],"charge":[114],"managing":[116],"over":[120],"time":[121],"performs":[123],"(when":[124],"necessary)":[125],"one":[126],"three":[129],"types":[130],"recursive":[131],"computations,":[132],"namely:":[133],"learning,":[134],"relearning":[135],"forgetting.":[137],"flexibility":[139],"degree":[142],"generality":[144],"illustrated":[151],"on":[152],"constructed":[155],"example":[156],"resembles":[158],"case":[161],"flow":[164],"coming":[165],"as":[166],"sequence":[168],"20":[170],"data.":[173],"These":[174,199],"exhibit":[176],"behavior":[178,193],"during":[179],"sampling":[181],"periods":[182],"catch":[191],"such":[192],"properly":[195],"its":[197],"parameters.":[198],"results":[200],"show":[201],"way":[203],"different":[205],"possible":[206],"practical":[207],"applications.":[208]},"counts_by_year":[{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
