{"id":"https://openalex.org/W2596993382","doi":"https://doi.org/10.1109/tie.2017.2682782","title":"Efficient High Utility Pattern Mining for Establishing Manufacturing Plans With Sliding Window Control","display_name":"Efficient High Utility Pattern Mining for Establishing Manufacturing Plans With Sliding Window Control","publication_year":2017,"publication_date":"2017-03-16","ids":{"openalex":"https://openalex.org/W2596993382","doi":"https://doi.org/10.1109/tie.2017.2682782","mag":"2596993382"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2017.2682782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2017.2682782","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Industrial Electronics","raw_type":"journal-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/A5079834335","display_name":"Unil Yun","orcid":"https://orcid.org/0000-0002-3720-0861"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Unil Yun","raw_affiliation_strings":["Department of Computer Engineering, Sejong University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033349565","display_name":"Gangin Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gangin Lee","raw_affiliation_strings":["Department of Computer Engineering, Sejong University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056741572","display_name":"Eunchul Yoon","orcid":"https://orcid.org/0000-0002-6321-516X"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunchul Yoon","raw_affiliation_strings":["Department of Electronic Engineering, Konkuk University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Konkuk University, Seoul, South Korea","institution_ids":["https://openalex.org/I24062138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":15.3765,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.98917865,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"64","issue":"9","first_page":"7239","last_page":"7249"},"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":0.9954000115394592,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/sliding-window-protocol","display_name":"Sliding window protocol","score":0.7200028896331787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7151361703872681},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6340484619140625},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.5752347707748413},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5097865462303162},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.49519625306129456},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4883522689342499},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47465354204177856},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4152093529701233},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3437862992286682},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.3345743715763092},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17869117856025696},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17265081405639648}],"concepts":[{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.7200028896331787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7151361703872681},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6340484619140625},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.5752347707748413},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5097865462303162},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.49519625306129456},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4883522689342499},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47465354204177856},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4152093529701233},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3437862992286682},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.3345743715763092},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17869117856025696},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17265081405639648},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2017.2682782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2017.2682782","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3245574056","display_name":null,"funder_award_id":"NRF 20152062051","funder_id":"https://openalex.org/F4320322349","funder_display_name":"Ministry of Education, Science and Technology"},{"id":"https://openalex.org/G7254058684","display_name":null,"funder_award_id":"NRF 20155054624","funder_id":"https://openalex.org/F4320322349","funder_display_name":"Ministry of Education, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320322349","display_name":"Ministry of Education, Science and Technology","ror":"https://ror.org/01p262204"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1984488826","https://openalex.org/W1999192179","https://openalex.org/W2005081781","https://openalex.org/W2039111527","https://openalex.org/W2049785083","https://openalex.org/W2080042412","https://openalex.org/W2094830079","https://openalex.org/W2099398039","https://openalex.org/W2115482638","https://openalex.org/W2120742377","https://openalex.org/W2124189341","https://openalex.org/W2125352627","https://openalex.org/W2151028259","https://openalex.org/W2161637667","https://openalex.org/W2254242365","https://openalex.org/W2313140552","https://openalex.org/W2318974702","https://openalex.org/W2330823436","https://openalex.org/W2346980129","https://openalex.org/W6628750762"],"related_works":["https://openalex.org/W4360995307","https://openalex.org/W2167004500","https://openalex.org/W2059461309","https://openalex.org/W1572762191","https://openalex.org/W2375516608","https://openalex.org/W2106570241","https://openalex.org/W3207785250","https://openalex.org/W4382459699","https://openalex.org/W6445124","https://openalex.org/W1994168535"],"abstract_inverted_index":{"In":[0,54,101],"industrial":[1],"areas,":[2],"understanding":[3],"the":[4,11,23,46,87,121,131,148,154,173],"preference":[5,89],"of":[6,10,22,39,51,90,123,150,181],"customers":[7,91],"is":[8],"one":[9,21],"important":[12],"considerations":[13],"for":[14,112,140],"establishing":[15,79],"profitable":[16,66],"product":[17,67],"manufacturing":[18,68,80],"plans.":[19],"As":[20],"approaches":[24],"in":[25,158,179],"pattern":[26,30,59],"mining,":[27],"high":[28,42,57,114],"utility":[29,58,115],"mining":[31,60],"has":[32],"been":[33],"employed":[34],"to":[35,64,74,85],"find":[36],"a":[37,72,106,124],"set":[38],"products":[40],"creating":[41],"profits":[43],"by":[44],"considering":[45],"purchase":[47],"quantity":[48],"and":[49,109,185],"price":[50],"each":[52],"product.":[53],"this":[55,102],"regard,":[56],"can":[61,146],"be":[62],"useful":[63],"establish":[65],"plans":[69],"that":[70,172],"allow":[71],"corporation":[73],"maximize":[75],"its":[76],"revenue.":[77],"For":[78],"plans,":[81],"we":[82,104],"also":[83],"need":[84],"understand":[86],"recent":[88],"from":[92,165],"stream":[93],"data,":[94],"which":[95],"are":[96],"continually":[97],"generated":[98],"without":[99],"limitations.":[100],"paper,":[103],"propose":[105],"novel":[107],"algorithm":[108,133,155,175],"list":[110],"structure":[111],"finding":[113],"patterns":[116,143],"over":[117],"data":[118],"streams":[119],"on":[120],"basis":[122],"sliding":[125],"window":[126],"mode.":[127],"Unlike":[128],"existing":[129],"algorithms,":[130],"proposed":[132,174],"does":[134],"not":[135],"consume":[136],"huge":[137],"computational":[138],"resources":[139],"verifying":[141],"candidate":[142,151],"because":[144],"it":[145],"avoid":[147],"generation":[149],"patterns.":[152],"Therefore,":[153],"efficiently":[156],"works":[157],"complex":[159],"dynamic":[160],"systems.":[161],"Experimental":[162],"results":[163],"obtained":[164],"various":[166],"tests":[167],"using":[168],"real-world":[169],"dataset":[170],"show":[171],"outperforms":[176],"state-of-the-art":[177],"methods":[178],"terms":[180],"runtime,":[182],"memory":[183],"usage,":[184],"scalability.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
