{"id":"https://openalex.org/W2030297950","doi":"https://doi.org/10.1109/grc.2009.5255101","title":"An efficient algorithm for mining frequent sequences in dynamic environment","display_name":"An efficient algorithm for mining frequent sequences in dynamic environment","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2030297950","doi":"https://doi.org/10.1109/grc.2009.5255101","mag":"2030297950"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2009.5255101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2009.5255101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Granular Computing","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/A5101603720","display_name":"Guangyuan Li","orcid":"https://orcid.org/0000-0002-2938-527X"},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangyuan Li","raw_affiliation_strings":["Information Technology Department, Guangxi Teachers Education University, Nanning, China","Information Technology Department of Guangxi Teachers Education University, Nanning, China"],"affiliations":[{"raw_affiliation_string":"Information Technology Department, Guangxi Teachers Education University, Nanning, China","institution_ids":["https://openalex.org/I4210151929"]},{"raw_affiliation_string":"Information Technology Department of Guangxi Teachers Education University, Nanning, China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111699128","display_name":"Xiao Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Xiao","raw_affiliation_strings":["Information Technology Department, Guangxi Teachers Education University, Nanning, China","Information Technology Department of Guangxi Teachers Education University, Nanning, China"],"affiliations":[{"raw_affiliation_string":"Information Technology Department, Guangxi Teachers Education University, Nanning, China","institution_ids":["https://openalex.org/I4210151929"]},{"raw_affiliation_string":"Information Technology Department of Guangxi Teachers Education University, Nanning, China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059104620","display_name":"Qinbin Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinbin Hu","raw_affiliation_strings":["Information Technology Department, Guangxi Teachers Education University, Nanning, China","Information Technology Department of Guangxi Teachers Education University, Nanning, China"],"affiliations":[{"raw_affiliation_string":"Information Technology Department, Guangxi Teachers Education University, Nanning, China","institution_ids":["https://openalex.org/I4210151929"]},{"raw_affiliation_string":"Information Technology Department of Guangxi Teachers Education University, Nanning, China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007724310","display_name":"Changan Yuan","orcid":"https://orcid.org/0000-0001-6912-718X"},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changan Yuan","raw_affiliation_strings":["Information Technology Department, Guangxi Teachers Education University, Nanning, China","Information Technology Department of Guangxi Teachers Education University, Nanning, China"],"affiliations":[{"raw_affiliation_string":"Information Technology Department, Guangxi Teachers Education University, Nanning, China","institution_ids":["https://openalex.org/I4210151929"]},{"raw_affiliation_string":"Information Technology Department of Guangxi Teachers Education University, Nanning, China","institution_ids":["https://openalex.org/I4210151929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101603720"],"corresponding_institution_ids":["https://openalex.org/I4210151929"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1315511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"329","last_page":"333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9330999851226807,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7772042751312256},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7088490724563599},{"id":"https://openalex.org/keywords/gsp-algorithm","display_name":"GSP Algorithm","score":0.6555668711662292},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6350290775299072},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.6206274628639221},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5465885400772095},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.5123949646949768},{"id":"https://openalex.org/keywords/efficient-algorithm","display_name":"Efficient algorithm","score":0.4590962529182434},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4163435101509094},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.36093372106552124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08975189924240112}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7772042751312256},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7088490724563599},{"id":"https://openalex.org/C87146676","wikidata":"https://www.wikidata.org/wiki/Q5514602","display_name":"GSP Algorithm","level":4,"score":0.6555668711662292},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6350290775299072},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.6206274628639221},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5465885400772095},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.5123949646949768},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.4590962529182434},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4163435101509094},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.36093372106552124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08975189924240112},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2009.5255101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2009.5255101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Granular Computing","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":8,"referenced_works":["https://openalex.org/W1509287603","https://openalex.org/W1536595935","https://openalex.org/W1608194207","https://openalex.org/W1641039719","https://openalex.org/W2147694185","https://openalex.org/W2158454296","https://openalex.org/W6636681434","https://openalex.org/W6682094280"],"related_works":["https://openalex.org/W3034345083","https://openalex.org/W2376949134","https://openalex.org/W1483188779","https://openalex.org/W2106878563","https://openalex.org/W2348452205","https://openalex.org/W4389611318","https://openalex.org/W2383811731","https://openalex.org/W2390733913","https://openalex.org/W2365953361","https://openalex.org/W2385402965"],"abstract_inverted_index":{"Mining":[0],"frequent":[1,99,132],"sequences":[2,100,133],"is":[3,15,106],"a":[4,93],"step":[5],"in":[6,21,101,148],"the":[7,22,30,41,45,48,57,67,71,75,79,83,98,104,121,126,130,136,144,149,156,162],"sequential":[8,12,42],"patterns":[9,13,43],"discovering,":[10],"and":[11,63,82,138],"mining":[14,97,112,134],"an":[16],"important":[17],"area":[18],"of":[19,24,47,120,158],"research":[20],"field":[23],"data":[25,50],"mining.":[26],"If":[27],"we":[28,91],"use":[29],"traditional":[31],"algorithms":[32],"such":[33],"as":[34],"Apriori":[35],"or":[36],"GSP":[37],"algorithm":[38,160,164],"to":[39,55,117,142],"discover":[40],"under":[44],"circumstance":[46],"dynamic":[49,102],"changing,":[51],"since":[52],"they":[53],"need":[54],"scan":[56,118,143],"whole":[58,122,131],"database":[59,145],"for":[60,96,129],"multiple":[61],"times,":[62],"do":[64],"not":[65],"give":[66],"right":[68,72],"information":[69],"at":[70,135],"time,":[73],"so":[74],"results":[76,128,153],"don't":[77],"reflect":[78],"current":[80],"status,":[81],"performances":[84],"will":[85],"become":[86],"inefficient.":[87],"In":[88],"this":[89],"paper,":[90],"present":[92],"new":[94],"method":[95,105],"environment;":[103],"developed":[107],"based":[108,124],"on":[109,125],"previous":[110,127],"episodes":[111],"results.":[113],"It":[114],"only":[115,140,146],"needs":[116,141],"parts":[119],"dataset":[123],"end,":[137],"it":[139],"once":[147],"special":[150],"situation.":[151],"Experimental":[152],"show":[154],"that":[155],"performance":[157],"our":[159],"outperforms":[161],"GPS":[163],"very":[165],"greatly.":[166]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
