{"id":"https://openalex.org/W3012975517","doi":"https://doi.org/10.1109/jsyst.2020.2979279","title":"Utility-Driven Data Analytics on Uncertain Data","display_name":"Utility-Driven Data Analytics on Uncertain Data","publication_year":2020,"publication_date":"2020-03-23","ids":{"openalex":"https://openalex.org/W3012975517","doi":"https://doi.org/10.1109/jsyst.2020.2979279","mag":"3012975517"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2020.2979279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2020.2979279","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"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 Systems Journal","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1902.09586","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000962921","display_name":"Wensheng Gan","orcid":"https://orcid.org/0000-0002-5781-8116"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wensheng Gan","raw_affiliation_strings":["College of Cyber Security/College of Information Science and Technology, Jinan University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Cyber Security/College of Information Science and Technology, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","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/I179863766","display_name":"Western Norway University of Applied Sciences","ror":"https://ror.org/05phns765","country_code":"NO","type":"education","lineage":["https://openalex.org/I179863766"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Jerry Chun-Wei Lin","raw_affiliation_strings":["Western Norway University of Applied Sciences, Bergen, Norway"],"affiliations":[{"raw_affiliation_string":"Western Norway University of Applied Sciences, Bergen, Norway","institution_ids":["https://openalex.org/I179863766"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102824651","display_name":"Han\u2010Chieh Chao","orcid":"https://orcid.org/0000-0003-3222-1708"},"institutions":[{"id":"https://openalex.org/I33096239","display_name":"National Dong Hwa University","ror":"https://ror.org/00mng9617","country_code":"TW","type":"education","lineage":["https://openalex.org/I33096239"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Han-Chieh Chao","raw_affiliation_strings":["National Dong Hwa University, Hualien, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Dong Hwa University, Hualien, Taiwan","institution_ids":["https://openalex.org/I33096239"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074022699","display_name":"Athanasios V. Vasilakos","orcid":"https://orcid.org/0000-0003-1902-9877"},"institutions":[{"id":"https://openalex.org/I190632392","display_name":"Lule\u00e5 University of Technology","ror":"https://ror.org/016st3p78","country_code":"SE","type":"education","lineage":["https://openalex.org/I190632392"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Athanasios V. Vasilakos","raw_affiliation_strings":["Lule\u00e5 University of Technology, Lule\u00e5, Sweden"],"affiliations":[{"raw_affiliation_string":"Lule\u00e5 University of Technology, Lule\u00e5, Sweden","institution_ids":["https://openalex.org/I190632392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000962921"],"corresponding_institution_ids":["https://openalex.org/I159948400"],"apc_list":null,"apc_paid":null,"fwci":6.6762,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.96851059,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"14","issue":"3","first_page":"4442","last_page":"4453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9937000274658203,"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":0.9909999966621399,"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/pruning","display_name":"Pruning","score":0.8007268905639648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7645878791809082},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6804037094116211},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5266554355621338},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5113937258720398},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5110629796981812},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.49301573634147644},{"id":"https://openalex.org/keywords/transaction-data","display_name":"Transaction data","score":0.48864179849624634},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.41590651869773865},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3334406912326813},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13745617866516113}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8007268905639648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7645878791809082},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6804037094116211},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5266554355621338},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5113937258720398},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5110629796981812},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.49301573634147644},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.48864179849624634},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.41590651869773865},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3334406912326813},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13745617866516113},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jsyst.2020.2979279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2020.2979279","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"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 Systems Journal","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1902.09586","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1902.09586","pdf_url":"https://arxiv.org/pdf/1902.09586","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/145736","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/145736","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1902.09586","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1902.09586","pdf_url":"https://arxiv.org/pdf/1902.09586","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G6686141258","display_name":null,"funder_award_id":"KQJSCX20170726103424","funder_id":"https://openalex.org/F4320335770","funder_display_name":"Shenzhen Technical Project"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320335770","display_name":"Shenzhen Technical Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W80315153","https://openalex.org/W656219328","https://openalex.org/W1484413656","https://openalex.org/W1641039719","https://openalex.org/W1810406100","https://openalex.org/W1918839972","https://openalex.org/W2002422448","https://openalex.org/W2018553295","https://openalex.org/W2031324919","https://openalex.org/W2031850392","https://openalex.org/W2041785419","https://openalex.org/W2044074944","https://openalex.org/W2049785083","https://openalex.org/W2091047274","https://openalex.org/W2098268836","https://openalex.org/W2099398039","https://openalex.org/W2102297485","https://openalex.org/W2105103777","https://openalex.org/W2110796598","https://openalex.org/W2115482638","https://openalex.org/W2125352627","https://openalex.org/W2137536943","https://openalex.org/W2151028259","https://openalex.org/W2161637667","https://openalex.org/W2166481266","https://openalex.org/W2183819092","https://openalex.org/W2229420030","https://openalex.org/W2251030740","https://openalex.org/W2288772698","https://openalex.org/W2343816076","https://openalex.org/W2461686391","https://openalex.org/W2508886577","https://openalex.org/W2522335225","https://openalex.org/W2588941434","https://openalex.org/W2596993382","https://openalex.org/W2607325176","https://openalex.org/W2613274667","https://openalex.org/W2614083095","https://openalex.org/W2724859488","https://openalex.org/W2783483776","https://openalex.org/W2800651080","https://openalex.org/W2803163798","https://openalex.org/W2804685987","https://openalex.org/W2900897168","https://openalex.org/W2907464021","https://openalex.org/W2973857687","https://openalex.org/W3102927519","https://openalex.org/W4250301058","https://openalex.org/W6628750762","https://openalex.org/W6636681434","https://openalex.org/W6678646327","https://openalex.org/W6736364499"],"related_works":["https://openalex.org/W1566212037","https://openalex.org/W4226266853","https://openalex.org/W4210252074","https://openalex.org/W3092201768","https://openalex.org/W2796632413","https://openalex.org/W2740083192","https://openalex.org/W2794907032","https://openalex.org/W4255802207","https://openalex.org/W4299701476","https://openalex.org/W2904574413"],"abstract_inverted_index":{"Modern":[0],"Internet":[1],"of":[2,9,12,17,19,27,45,50],"Things":[3],"(IoT)":[4],"applications":[5],"generate":[6],"massive":[7],"amounts":[8],"data,":[10],"much":[11],"them":[13],"in":[14,30,59,102,182],"the":[15,28,69,81,150,156,172,177,184],"form":[16],"objects/items":[18,82],"readings,":[20],"events,":[21],"and":[22,40,42,62,122,144,158,188],"log":[23],"entries.":[24],"Specifically,":[25],"most":[26],"objects":[29],"these":[31,90],"IoT":[32],"data":[33,60,95,110],"contain":[34],"rich":[35],"embedded":[36],"information":[37],"(e.g.,":[38,47],"frequency":[39],"uncertainty)":[41],"different":[43],"levels":[44],"importance":[46],"unit":[48,124],"risk/utility":[49],"items,":[51],"interestingness,":[52],"cost,":[53],"or":[54,86],"weight).":[55],"Many":[56],"existing":[57],"approaches":[58],"mining":[61,111,183],"analytics":[63,96],"have":[64],"limitations,":[65],"such":[66],"as":[67,77,79,162,164],"only":[68],"binary":[70],"attribute":[71],"is":[72,100],"considered":[73],"within":[74],"a":[75,92,106],"transaction,":[76],"well":[78,163],"all":[80],"having":[83],"equal":[84],"weights":[85],"importance.":[87],"To":[88],"solve":[89],"drawbacks,":[91],"novel":[93],"utility-driven":[94,108],"algorithm":[97],"named":[98],"HUPNU":[99,113,174],"presented":[101],"this":[103],"article.":[104],"As":[105],"general":[107],"uncertain":[109],"model,":[112],"can":[114,133],"extract":[115],"High-Utility":[116],"patterns":[117,132,186],"by":[118],"considering":[119],"both":[120],"Positive":[121],"Negative":[123],"utilities":[125,160],"from":[126],"Uncertain":[127],"data.":[128],"The":[129],"qualified":[130,185],"high-utility":[131],"be":[134],"effectively":[135],"discovered":[136],"for":[137],"intrusion":[138],"detection,":[139],"risk":[140],"prediction,":[141],"manufacturing":[142],"management,":[143],"decision-making,":[145],"among":[146],"others.":[147],"By":[148],"using":[149],"developed":[151,173],"vertical":[152],"Probability-Utility":[153],"list":[154],"with":[155,176],"positive":[157],"negative":[159],"structure,":[161],"several":[165],"effective":[166],"pruning":[167,178],"strategies,":[168],"experiments":[169],"showed":[170],"that":[171],"approach":[175],"strategies":[179],"performed":[180],"great":[181],"efficiently":[187],"effectively.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}