{"id":"https://openalex.org/W4312478493","doi":"https://doi.org/10.1109/access.2022.3228962","title":"A Scalable Analytical Framework for Complex Event Episode Mining With Various Domains Applications","display_name":"A Scalable Analytical Framework for Complex Event Episode Mining With Various Domains Applications","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312478493","doi":"https://doi.org/10.1109/access.2022.3228962"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3228962","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3228962","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982636.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982636.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103183197","display_name":"J. Tseng","orcid":"https://orcid.org/0000-0003-0637-7792"},"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":"Jerry C. C. Tseng","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103047340","display_name":"Sun\u2010Yuan Hsieh","orcid":"https://orcid.org/0000-0003-4746-3179"},"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":"Sun-Yuan Hsieh","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043399804","display_name":"Vincent S. Tseng","orcid":"https://orcid.org/0000-0002-4853-1594"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Vincent S. Tseng","raw_affiliation_strings":["Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu City, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103183197"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23759898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"130672","last_page":"130685"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9915000200271606,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9890999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.8271145820617676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7317894101142883},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.6296093463897705},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.582132875919342},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5083877444267273},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4869149923324585},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4780981242656708},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44177624583244324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41967862844467163},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32988715171813965},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2043653130531311},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08260855078697205}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.8271145820617676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317894101142883},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.6296093463897705},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.582132875919342},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5083877444267273},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4869149923324585},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4780981242656708},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44177624583244324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41967862844467163},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32988715171813965},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2043653130531311},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08260855078697205},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3228962","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3228962","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982636.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1b7abed10bc44d88b3cc2d2feb4cc813","is_oa":true,"landing_page_url":"https://doaj.org/article/1b7abed10bc44d88b3cc2d2feb4cc813","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 130672-130685 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3228962","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3228962","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982636.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G329025913","display_name":null,"funder_award_id":"111-2221-E-A49-124-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G8826180411","display_name":null,"funder_award_id":"110-2221-E-A49-078-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312478493.pdf","grobid_xml":"https://content.openalex.org/works/W4312478493.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W410850256","https://openalex.org/W1524489222","https://openalex.org/W1525412602","https://openalex.org/W1594479771","https://openalex.org/W1971697515","https://openalex.org/W1989037929","https://openalex.org/W1993690978","https://openalex.org/W2003957650","https://openalex.org/W2033727591","https://openalex.org/W2035412162","https://openalex.org/W2051292379","https://openalex.org/W2052360255","https://openalex.org/W2069980026","https://openalex.org/W2102936290","https://openalex.org/W2114624736","https://openalex.org/W2119738171","https://openalex.org/W2133535525","https://openalex.org/W2138730049","https://openalex.org/W2147694185","https://openalex.org/W2151434516","https://openalex.org/W2152671886","https://openalex.org/W2156026066","https://openalex.org/W2158545946","https://openalex.org/W2168196587","https://openalex.org/W2169354187","https://openalex.org/W2173213060","https://openalex.org/W2399436387","https://openalex.org/W2408401645","https://openalex.org/W2530314904","https://openalex.org/W2557741071","https://openalex.org/W2762334571","https://openalex.org/W2799775760","https://openalex.org/W2800017158","https://openalex.org/W2803386330","https://openalex.org/W2921411346","https://openalex.org/W2952450397","https://openalex.org/W2963212997","https://openalex.org/W2972489831","https://openalex.org/W2988005020","https://openalex.org/W2991050497","https://openalex.org/W2999363993","https://openalex.org/W3004792188","https://openalex.org/W3017025919","https://openalex.org/W3026889840","https://openalex.org/W3030304602","https://openalex.org/W3037839749","https://openalex.org/W3183930927","https://openalex.org/W3197066296","https://openalex.org/W4210496617","https://openalex.org/W4221151704","https://openalex.org/W4253573770","https://openalex.org/W4288598360","https://openalex.org/W6600858539","https://openalex.org/W6602383291","https://openalex.org/W6714380846","https://openalex.org/W6735928231","https://openalex.org/W6809851174"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4405901645","https://openalex.org/W4394895745","https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W3202731209","https://openalex.org/W3211874991","https://openalex.org/W4308507533","https://openalex.org/W2407107767","https://openalex.org/W2908411463"],"abstract_inverted_index":{"With":[0],"the":[1,15,19,177,192,197,213],"ubiquity":[2],"of":[3,17,22,61,84,120,204,224],"sensor":[4],"networks":[5],"and":[6,76,81,162,169,185,207,227],"smart":[7],"devices":[8],"that":[9,212],"continuously":[10],"collect":[11],"data,":[12],"we":[13,132,175],"face":[14],"challenge":[16],"analyzing":[18,42],"growing":[20],"stream":[21],"data":[23,93],"in":[24,65,102,126,222],"real":[25,202],"time.":[26],"In":[27,129],"recent":[28],"years,":[29,54],"there":[30],"has":[31],"been":[32],"a":[33,112,134],"huge":[34],"need":[35],"to":[36,89,165,172],"gain":[37],"useful":[38],"knowledge":[39],"by":[40],"incrementally":[41],"event":[43,92,122,148],"sequence":[44],"data.":[45],"Although":[46],"episode":[47,85,117,149,154,157,160],"pattern":[48,86,118,163],"mining":[49,87,119,150],"techniques":[50,88],"have":[51,56,108],"existed":[52],"for":[53,98,124],"people":[55],"recently":[57],"become":[58],"more":[59],"aware":[60],"their":[62],"practical":[63],"value":[64],"solving":[66,99],"real-life":[67,100],"domain":[68],"problems":[69,101],"such":[70],"as":[71,191],"manufacturing":[72],"records,":[73],"stock":[74],"markets,":[75],"weather":[77],"forecasts.":[78],"The":[79],"effective":[80],"efficient":[82],"application":[83],"analyze":[90],"complex":[91,121,147],"is":[94],"becoming":[95],"increasingly":[96],"important":[97],"wide":[103],"domains.":[104,128],"However,":[105],"few":[106],"studies":[107],"focused":[109],"on":[110,116,146,200],"developing":[111],"scalable":[113],"framework":[114,136,218],"based":[115,145],"sequences":[123],"applications":[125],"various":[127],"this":[130],"work,":[131],"propose":[133],"novel":[135],"named":[137],"<italic":[138,181,186,215],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[139,182,187,216],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">SAAF":[140],"(Scalable":[141],"Analytical":[142],"Application":[143],"Framework)</i>":[144],"techniques,":[151],"including":[152],"batch":[153],"mining,":[155,158,161],"delta":[156],"incremental":[159],"merging,":[164],"consider":[166],"both":[167],"efficiency":[168],"accuracy.":[170],"Moreover,":[171],"enhance":[173],"scalability,":[174],"adopt":[176],"lambda":[178],"architecture":[179],"with":[180],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Apache":[183,188],"Spark</i>":[184],"Spark":[189],"Streaming</i>":[190],"system":[193],"development":[194],"framework.":[195],"Finally,":[196],"experimental":[198],"results":[199],"three":[201],"datasets":[203,210],"different":[205],"domains":[206],"two":[208],"benchmark":[209],"showed":[211],"proposed":[214],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">SAAF</i>":[217],"exhibits":[219],"excellent":[220],"performance":[221],"terms":[223],"efficiency,":[225],"accuracy,":[226],"scalability.":[228]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
