{"id":"https://openalex.org/W2154484565","doi":"https://doi.org/10.1109/fuzzy.2006.1681810","title":"A Less Domain-dependent Fuzzy Mining Algorithm for Frequent Trends","display_name":"A Less Domain-dependent Fuzzy Mining Algorithm for Frequent Trends","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2154484565","doi":"https://doi.org/10.1109/fuzzy.2006.1681810","mag":"2154484565"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2006.1681810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2006.1681810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE 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/A5006096482","display_name":"Chang\u2010Hsiao Chen","orcid":"https://orcid.org/0000-0002-1310-0954"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"C.H. Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057105630","display_name":"Tzung\u2010Pei Hong","orcid":"https://orcid.org/0000-0001-7305-6492"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"T.P. Hong","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109122944","display_name":"Vincent S. Tseng","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"V.S.M. Tseng","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006096482"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.20234538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"851","last_page":"856"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994000196456909,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994000196456909,"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":0.9969000220298767,"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":0.9801999926567078,"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/data-mining","display_name":"Data mining","score":0.7124418020248413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6770867109298706},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6682779788970947},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6627700328826904},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6518138647079468},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6230490207672119},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.5834705829620361},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5703355073928833},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5685557126998901},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5601264834403992},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5184252262115479},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.5080664157867432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35797861218452454},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.3141898512840271},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25442320108413696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1934831738471985}],"concepts":[{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7124418020248413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6770867109298706},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6682779788970947},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6627700328826904},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6518138647079468},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6230490207672119},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.5834705829620361},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5703355073928833},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5685557126998901},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5601264834403992},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5184252262115479},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.5080664157867432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35797861218452454},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.3141898512840271},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25442320108413696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1934831738471985},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2006.1681810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2006.1681810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W42911647","https://openalex.org/W151863654","https://openalex.org/W196065500","https://openalex.org/W1509578651","https://openalex.org/W1538285186","https://openalex.org/W1540310433","https://openalex.org/W1581502805","https://openalex.org/W1583721307","https://openalex.org/W1595324333","https://openalex.org/W1785021972","https://openalex.org/W1995003166","https://openalex.org/W2006761268","https://openalex.org/W2031324919","https://openalex.org/W2036557187","https://openalex.org/W2066796814","https://openalex.org/W2080337565","https://openalex.org/W2098268836","https://openalex.org/W2100176599","https://openalex.org/W2100406636","https://openalex.org/W2111807831","https://openalex.org/W2124192284","https://openalex.org/W2132587072","https://openalex.org/W2134198436","https://openalex.org/W2139668654","https://openalex.org/W2149320615","https://openalex.org/W2160119185","https://openalex.org/W2166559705","https://openalex.org/W2168577773","https://openalex.org/W2912565176","https://openalex.org/W3039539181","https://openalex.org/W3163063303","https://openalex.org/W4256588611","https://openalex.org/W6606194391","https://openalex.org/W6632119897","https://openalex.org/W6634944405","https://openalex.org/W6634966284","https://openalex.org/W6635575044","https://openalex.org/W6659467978","https://openalex.org/W6675462168","https://openalex.org/W6679605662","https://openalex.org/W6680511260","https://openalex.org/W6780396083"],"related_works":["https://openalex.org/W2109115373","https://openalex.org/W2390901981","https://openalex.org/W4388311650","https://openalex.org/W5922282","https://openalex.org/W2353818951","https://openalex.org/W1974056099","https://openalex.org/W4245343541","https://openalex.org/W3014558862","https://openalex.org/W3005992387","https://openalex.org/W4360924407"],"abstract_inverted_index":{"Time":[0],"series":[1,80],"analysis":[2],"has":[3],"always":[4],"been":[5],"an":[6,65],"important":[7],"and":[8,42,95],"interesting":[9],"research":[10],"field":[11],"due":[12],"to":[13,28,47,57,73,83,101,117,126],"its":[14],"frequent":[15,76,119],"appearance":[16],"in":[17],"different":[18,136],"applications.":[19],"In":[20,59],"the":[21],"past,":[22],"many":[23],"mining":[24,55,112],"approaches":[25],"were":[26],"proposed":[27,87],"find":[29],"useful":[30],"patterns":[31],"from":[32,78,105],"time-series":[33],"data.":[34],"Time-series":[35],"data,":[36],"however,":[37],"are":[38,132],"usually":[39],"quantitative":[40],"values":[41,92],"domain":[43,84],"knowledge":[44],"is":[45,114,123],"needed":[46],"predefine":[48],"crisp":[49],"intervals":[50],"of":[51],"categories":[52],"for":[53,135],"a":[54,98,109],"process":[56],"proceed.":[58],"this":[60],"paper,":[61],"we":[62],"thus":[63],"propose":[64],"algorithm":[66,113],"based":[67],"on":[68],"Udechukwu":[69],"et":[70],"al.'s":[71],"approach":[72,88],"mine":[74],"fuzzy":[75,111],"trends":[77],"time":[79],"without":[81],"referring":[82],"knowledge.":[85],"The":[86,108],"first":[89],"transforms":[90],"data":[91],"into":[93],"angles,":[94],"then":[96,115],"uses":[97],"sliding":[99],"window":[100],"generate":[102,118],"continues":[103],"subsequences":[104],"angular":[106],"series.":[107],"priori-like":[110],"used":[116],"trends.":[120],"Appropriate":[121],"post-processing":[122],"also":[124,133],"performed":[125],"remove":[127],"redundant":[128],"patterns.":[129],"Finally,":[130],"experiments":[131],"made":[134],"parameter":[137],"settings.":[138]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}