{"id":"https://openalex.org/W2059591939","doi":"https://doi.org/10.1109/fskd.2012.6233766","title":"Mining scalable pattern based on temporal logic over data streams","display_name":"Mining scalable pattern based on temporal logic over data streams","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2059591939","doi":"https://doi.org/10.1109/fskd.2012.6233766","mag":"2059591939"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2012.6233766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6233766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","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/A5101406772","display_name":"Yan Tang","orcid":"https://orcid.org/0000-0003-4377-1721"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Tang","raw_affiliation_strings":["Key Laboratory of Machine Perception, Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing, China","Key Laboratory of Machine Perception (Peking University), Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (Peking University), Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450470","display_name":"Feifei Li","orcid":"https://orcid.org/0009-0003-0770-5775"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Li","raw_affiliation_strings":["Key Laboratory of Machine Perception, Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing, China","Key Laboratory of Machine Perception (Peking University), Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (Peking University), Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100455569","display_name":"Hongyan Li","orcid":"https://orcid.org/0000-0001-7174-2851"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"HongYan Li","raw_affiliation_strings":["Key Laboratory of Machine Perception, Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing, China","Key Laboratory of Machine Perception (Peking University), Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (Peking University), Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1150","last_page":"1154"},"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":0.9958999752998352,"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":0.9941999912261963,"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":0.8269635438919067},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7727834582328796},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6937063932418823},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.68145751953125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6720200181007385},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5076826810836792},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46359673142433167},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4536263048648834},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.4240248501300812},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.16208162903785706},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14823037385940552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8269635438919067},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7727834582328796},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6937063932418823},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.68145751953125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6720200181007385},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5076826810836792},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46359673142433167},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4536263048648834},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.4240248501300812},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.16208162903785706},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14823037385940552},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/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/fskd.2012.6233766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6233766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th 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":24,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1515347377","https://openalex.org/W1531246239","https://openalex.org/W1569347009","https://openalex.org/W1597161471","https://openalex.org/W1928996079","https://openalex.org/W2028903194","https://openalex.org/W2037965136","https://openalex.org/W2044541009","https://openalex.org/W2047630272","https://openalex.org/W2064853889","https://openalex.org/W2072783440","https://openalex.org/W2105347536","https://openalex.org/W2128817530","https://openalex.org/W2129436231","https://openalex.org/W2147556214","https://openalex.org/W2169474320","https://openalex.org/W4252403066","https://openalex.org/W6628750762","https://openalex.org/W6630649040","https://openalex.org/W6631713821","https://openalex.org/W6635733350","https://openalex.org/W6679028080","https://openalex.org/W7000244207"],"related_works":["https://openalex.org/W4389449520","https://openalex.org/W127192698","https://openalex.org/W2570600173","https://openalex.org/W2893008024","https://openalex.org/W2743735673","https://openalex.org/W4361801939","https://openalex.org/W2360131081","https://openalex.org/W2985941356","https://openalex.org/W2802243998","https://openalex.org/W1521014365"],"abstract_inverted_index":{"In":[0],"many":[1],"data":[2,5,29,47],"stream":[3],"applications,":[4],"segments":[6,30,48],"which":[7],"are":[8,49],"sequential":[9,28],"and":[10,57,104,121],"complicatedly":[11],"changeable":[12],"always":[13],"imply":[14],"great":[15],"domain":[16],"specific":[17],"value.":[18],"Especially":[19],"in":[20,71],"the":[21,89,99,109],"field":[22],"of":[23,52,64,101],"medical":[24],"survey,":[25],"mining":[26,84],"such":[27],"will":[31],"help":[32],"making":[33],"diagnosis.":[34],"We":[35],"discovered":[36],"that,":[37],"based":[38],"on":[39,112],"extensive":[40],"analysis,":[41],"although":[42],"containing":[43],"rich":[44],"semantics,":[45],"these":[46,58],"actually":[50],"composed":[51],"some":[53],"certain":[54,72],"basic":[55],"units,":[56],"units":[59],"can":[60],"form":[61],"different":[62],"kinds":[63],"complex":[65],"patterns":[66],"with":[67],"duplication":[68],"or":[69],"lack":[70],"positions":[73],"considering":[74],"a":[75,81],"temporal":[76],"logic.":[77],"Therefore,":[78],"we":[79],"present":[80],"scalable":[82,102],"pattern":[83],"method.":[85],"With":[86],"this":[87],"method,":[88],"Scalable":[90],"Pattern":[91],"Tree":[92],"(SPTree)":[93],"structure":[94],"is":[95,119],"designed":[96],"to":[97],"support":[98],"expression":[100],"semantics":[103],"efficient":[105],"mining.":[106],"At":[107],"last,":[108],"experimental":[110],"results":[111],"real":[113],"datasets":[114],"prove":[115],"that":[116],"our":[117],"method":[118],"feasible":[120],"efficient.":[122]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}