{"id":"https://openalex.org/W2707730299","doi":"https://doi.org/10.1109/access.2017.2717438","title":"EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds","display_name":"EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2707730299","doi":"https://doi.org/10.1109/access.2017.2717438","mag":"2707730299"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2717438","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2717438","pdf_url":null,"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://doi.org/10.1109/access.2017.2717438","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000640263","display_name":"Jerry Chun\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-8768-9709"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jerry Chun-Wei Lin","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069111309","display_name":"Shifeng Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shifeng Ren","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038682039","display_name":"Philippe Fournier\u2010Viger","orcid":"https://orcid.org/0000-0002-7680-9899"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Philippe Fournier-Viger","raw_affiliation_strings":["School of Humanities and Social Sciences, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Humanities and Social Sciences, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057105630","display_name":"Tzung\u2010Pei Hong","orcid":"https://orcid.org/0000-0001-7305-6492"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]},{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzung-Pei Hong","raw_affiliation_strings":["Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan","Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000640263"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":20.7647,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.99321925,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"5","issue":null,"first_page":"12927","last_page":"12940"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":1.0,"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":1.0,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9768000245094299,"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"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.953000009059906,"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/computer-science","display_name":"Computer science","score":0.7507789134979248},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.744217038154602},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7082362174987793},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6467781662940979},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6355655193328857},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6271458864212036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16148105263710022},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14631041884422302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7507789134979248},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.744217038154602},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7082362174987793},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6467781662940979},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6355655193328857},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6271458864212036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16148105263710022},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14631041884422302},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2717438","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2717438","pdf_url":null,"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:4235a19bffb847358816389eaf2ac536","is_oa":true,"landing_page_url":"https://doaj.org/article/4235a19bffb847358816389eaf2ac536","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 5, Pp 12927-12940 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2717438","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2717438","pdf_url":null,"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/G930612902","display_name":null,"funder_award_id":"61503092","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W80315153","https://openalex.org/W170258093","https://openalex.org/W1484413656","https://openalex.org/W1514236140","https://openalex.org/W1580525649","https://openalex.org/W1698489882","https://openalex.org/W1966125148","https://openalex.org/W1971823372","https://openalex.org/W2003819708","https://openalex.org/W2028087213","https://openalex.org/W2076404872","https://openalex.org/W2094830079","https://openalex.org/W2099398039","https://openalex.org/W2115274736","https://openalex.org/W2115482638","https://openalex.org/W2127222997","https://openalex.org/W2138073318","https://openalex.org/W2139880890","https://openalex.org/W2140914274","https://openalex.org/W2144249866","https://openalex.org/W2147741644","https://openalex.org/W2151028259","https://openalex.org/W2151953639","https://openalex.org/W2158454296","https://openalex.org/W2160354730","https://openalex.org/W2161637667","https://openalex.org/W2162214498","https://openalex.org/W2188697913","https://openalex.org/W2200022554","https://openalex.org/W2328335709","https://openalex.org/W2340848227","https://openalex.org/W2360114527","https://openalex.org/W2406806423","https://openalex.org/W2478908476","https://openalex.org/W2487638867","https://openalex.org/W2522192076","https://openalex.org/W6607004672","https://openalex.org/W6628750762","https://openalex.org/W6678581990"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W2295196644"],"abstract_inverted_index":{"High-utility":[0],"itemset":[1,33],"mining":[2,9,34,127,176],"(HUIM)":[3],"has":[4],"become":[5],"a":[6,18,37,179],"popular":[7],"data":[8,193],"task,":[10],"as":[11,119],"it":[12],"can":[13],"reveal":[14],"patterns":[15,52],"that":[16,41,196],"have":[17,66,85],"high-utility,":[19],"contrarily":[20],"to":[21,50,69,98,121,139,158,170],"frequent":[22,29],"pattern":[23],"mining,":[24],"which":[25],"focuses":[26],"on":[27,144,190],"discovering":[28],"patterns.":[30],"High":[31],"average-utility":[32,72,94],"(HAUIM)":[35],"is":[36],"variation":[38],"of":[39,77,82,103,109,147,213,218],"HUIM":[40],"provides":[42],"an":[43],"alternative":[44,120],"measure,":[45],"called":[46],"the":[47,61,93,100,107,122,134,141,145,161,172,184,197,201,207],"average":[48,101],"utility,":[49],"select":[51],"by":[53,178],"considering":[54],"both":[55],"their":[56],"utilities":[57,102,146],"and":[58,84,221],"lengths.":[59],"In":[60],"last":[62],"decades,":[63],"several":[64,191],"algorithms":[65],"been":[67],"developed":[68],"mine":[70],"high":[71],"itemsets":[73],"(HAUIs).":[74],"But":[75],"most":[76],"them":[78],"consume":[79],"large":[80],"amounts":[81],"memory":[83,215],"long":[86],"execution":[87],"times,":[88],"since":[89],"they":[90],"generally":[91],"utilize":[92],"upper-bound":[95,117,131,151,204],"(auub)":[96],"model":[97,125,132,152],"overestimate":[99],"itemsets.":[104,148],"To":[105],"improve":[106],"performance":[108],"HAUIM,":[110],"this":[111],"paper":[112],"proposes":[113],"two":[114,202],"novel":[115,203],"tighter":[116],"models":[118,205],"traditional":[123,208],"auub":[124],"for":[126,175],"HAUIs.":[128],"The":[129,149],"looser":[130],"considers":[133],"remaining-maximum":[135],"utility":[136],"in":[137,156,211],"transactions":[138,157],"reduce":[140,171],"upper":[142,162],"bound":[143],"second":[150],"ignores":[153],"irrelevant":[154],"items":[155],"further":[159],"tighten":[160],"bound.":[163],"Three":[164],"pruning":[165],"strategies":[166],"are":[167],"also":[168],"designed":[169,198],"search":[173],"space":[174],"HAUIs":[177],"greater":[180],"amount":[181],"compared":[182],"with":[183],"state-of-the-art":[185],"HAUI-Miner":[186,209],"algorithm.":[187],"Experiments":[188],"conducted":[189],"benchmark":[192],"sets":[194],"show":[195],"algorithm":[199,210],"integrating":[200],"outperforms":[206],"terms":[212],"runtime,":[214],"usage,":[216],"number":[217],"join":[219],"operations,":[220],"scalability.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}