{"id":"https://openalex.org/W2085150852","doi":"https://doi.org/10.1109/fskd.2010.5569718","title":"Mining multi-attribute event sequential pattern based on association rule","display_name":"Mining multi-attribute event sequential pattern based on association rule","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2085150852","doi":"https://doi.org/10.1109/fskd.2010.5569718","mag":"2085150852"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2010.5569718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569718","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","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/A5100534947","display_name":"Xiao-hong Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao-hong Huang","raw_affiliation_strings":["Department of Electric Engineering, Southwest Jiaotong University, Emei, China","Department of Electric Engineering, Southwest Jiao Tong University, Emei, China"],"affiliations":[{"raw_affiliation_string":"Department of Electric Engineering, Southwest Jiaotong University, Emei, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Department of Electric Engineering, Southwest Jiao Tong University, Emei, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101932582","display_name":"Xiufeng Zhang","orcid":"https://orcid.org/0000-0002-5656-8565"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiu-feng Zhang","raw_affiliation_strings":["Department of Electric Engineering, Southwest Jiaotong University, Emei, China","Department of Electric Engineering, Southwest Jiao Tong University, Emei, China"],"affiliations":[{"raw_affiliation_string":"Department of Electric Engineering, Southwest Jiaotong University, Emei, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Department of Electric Engineering, Southwest Jiao Tong University, Emei, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100534947"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.2480315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2105","last_page":"2108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9980000257492065,"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":0.9667999744415283,"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/association-rule-learning","display_name":"Association rule learning","score":0.8390809297561646},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.7398960590362549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7175588011741638},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.673286497592926},{"id":"https://openalex.org/keywords/k-optimal-pattern-discovery","display_name":"K-optimal pattern discovery","score":0.6665122509002686},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5823720693588257},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.5540220737457275},{"id":"https://openalex.org/keywords/time-constraint","display_name":"Time constraint","score":0.5437002182006836},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.5428782105445862},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5007405281066895},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49851226806640625},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4886803925037384},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41860175132751465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41742151975631714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16773593425750732},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06976258754730225}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8390809297561646},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.7398960590362549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175588011741638},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.673286497592926},{"id":"https://openalex.org/C105445830","wikidata":"https://www.wikidata.org/wiki/Q6322855","display_name":"K-optimal pattern discovery","level":3,"score":0.6665122509002686},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5823720693588257},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.5540220737457275},{"id":"https://openalex.org/C2775907273","wikidata":"https://www.wikidata.org/wiki/Q7805281","display_name":"Time constraint","level":2,"score":0.5437002182006836},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.5428782105445862},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5007405281066895},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49851226806640625},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4886803925037384},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41860175132751465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41742151975631714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16773593425750732},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06976258754730225},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2010.5569718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569718","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","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":10,"referenced_works":["https://openalex.org/W1495603628","https://openalex.org/W1584003909","https://openalex.org/W2115330677","https://openalex.org/W2158454296","https://openalex.org/W2166559705","https://openalex.org/W2167741055","https://openalex.org/W2168196587","https://openalex.org/W2172181486","https://openalex.org/W6635016272","https://openalex.org/W6677439799"],"related_works":["https://openalex.org/W2390051172","https://openalex.org/W2297208791","https://openalex.org/W2367209111","https://openalex.org/W2351000793","https://openalex.org/W2366790077","https://openalex.org/W2758252385","https://openalex.org/W2106878563","https://openalex.org/W2157620887","https://openalex.org/W2353778731","https://openalex.org/W2738263685"],"abstract_inverted_index":{"The":[0],"traditional":[1],"sequential":[2,32,52,87,110],"pattern":[3,53,88,111],"algorithms":[4],"often":[5],"have":[6],"some":[7],"limitations":[8],"in":[9,42,97],"solving":[10],"the":[11,15,19,27,31,59,65,76,79,85,94,98,103],"applications.":[12],"First,":[13],"ignore":[14],"time-interval":[16],"trait":[17],"of":[18,61],"event":[20,51],"sequences,":[21],"which":[22],"is":[23,34,47,68,82],"more":[24],"important":[25],"to":[26,49,75,83,91,108],"mining":[28],"result.":[29],"Secondly,":[30],"item":[33],"also":[35],"without":[36],"attribute":[37,99],"constraint.":[38,56],"As":[39],"a":[40,106],"result,":[41],"this":[43],"paper":[44],"an":[45],"idea":[46],"presented":[48],"mine":[50,84,109],"with":[54,112],"multi-attribute":[55,113],"Based":[57],"on":[58],"algorithm":[60],"AprioriAll":[62],"and":[63],"Apriori,":[64],"transition":[66],"time":[67],"taken":[69],"into":[70],"account":[71],"between":[72],"events.":[73],"According":[74],"layer":[77],"idea,":[78],"key":[80],"task":[81],"frequent":[86],"first,":[89],"then":[90],"find":[92],"out":[93],"association":[95],"rules":[96],"constraint":[100,114],"items.":[101],"In":[102],"end":[104],"provides":[105],"way":[107],"by":[115],"example":[116],"analysis.":[117]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
