{"id":"https://openalex.org/W3000207654","doi":"https://doi.org/10.1080/01969722.2019.1705549","title":"Mining Maximal High Utility Itemsets on Dynamic Profit Databases","display_name":"Mining Maximal High Utility Itemsets on Dynamic Profit Databases","publication_year":2020,"publication_date":"2020-01-10","ids":{"openalex":"https://openalex.org/W3000207654","doi":"https://doi.org/10.1080/01969722.2019.1705549","mag":"3000207654"},"language":"en","primary_location":{"id":"doi:10.1080/01969722.2019.1705549","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969722.2019.1705549","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","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/A5083775463","display_name":"Loan T. T. Nguyen","orcid":"https://orcid.org/0000-0001-6440-6462"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I228151691","display_name":"Ho Chi Minh City International University","ror":"https://ror.org/003szmg30","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I228151691"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Loan T. T. Nguyen","raw_affiliation_strings":["School of Computer Science and Engineering, International University, VNU-HCM, Ho Chi Minh City, Vietnam;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, International University, VNU-HCM, Ho Chi Minh City, Vietnam;","institution_ids":["https://openalex.org/I123565023","https://openalex.org/I228151691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011944244","display_name":"Dinh-Bao Vu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dinh-Bao Vu","raw_affiliation_strings":["Faculty of Information Technology, CaoThang Technical College, Ho Chi Minh City, Vietnam;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, CaoThang Technical College, Ho Chi Minh City, Vietnam;","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101578196","display_name":"Trinh D. D. Nguyen","orcid":"https://orcid.org/0000-0002-2524-6416"},"institutions":[{"id":"https://openalex.org/I170238339","display_name":"Duy Tan University","ror":"https://ror.org/05ezss144","country_code":"VN","type":"education","lineage":["https://openalex.org/I170238339"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Trinh D. D. Nguyen","raw_affiliation_strings":["Institute of Research and Development, Duy Tan University, Da Nang, Vietnam;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Research and Development, Duy Tan University, Da Nang, Vietnam;","institution_ids":["https://openalex.org/I170238339"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062373963","display_name":"Bay Vo","orcid":"https://orcid.org/0000-0002-2723-1138"},"institutions":[{"id":"https://openalex.org/I4387155935","display_name":"HUTECH University","ror":"https://ror.org/05xpj2n48","country_code":null,"type":"education","lineage":["https://openalex.org/I4387155935"]},{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Bay Vo","raw_affiliation_strings":["Faculty of Information Technology, Ho Chi Minh City University of Technology (HUTECH), Ho Chi Minh City, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Ho Chi Minh City University of Technology (HUTECH), Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I4387155935","https://openalex.org/I47265099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062373963"],"corresponding_institution_ids":["https://openalex.org/I4387155935","https://openalex.org/I47265099"],"apc_list":null,"apc_paid":null,"fwci":3.3606,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.93506865,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"51","issue":"2","first_page":"140","last_page":"160"},"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":0.9797000288963318,"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/T12384","display_name":"Customer churn and segmentation","score":0.9496999979019165,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7772777080535889},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6582070589065552},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5786032676696777},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.5378299355506897},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.47516295313835144},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.4580792784690857},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4568309783935547},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43989092111587524},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18927863240242004},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.09387624263763428}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7772777080535889},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6582070589065552},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5786032676696777},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.5378299355506897},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.47516295313835144},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.4580792784690857},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4568309783935547},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43989092111587524},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18927863240242004},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.09387624263763428},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01969722.2019.1705549","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969722.2019.1705549","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W80315153","https://openalex.org/W1506285740","https://openalex.org/W1542997766","https://openalex.org/W1968259950","https://openalex.org/W1991704213","https://openalex.org/W2002422448","https://openalex.org/W2049785083","https://openalex.org/W2094830079","https://openalex.org/W2099398039","https://openalex.org/W2115482638","https://openalex.org/W2118149148","https://openalex.org/W2125352627","https://openalex.org/W2126046032","https://openalex.org/W2132978733","https://openalex.org/W2143428105","https://openalex.org/W2145807193","https://openalex.org/W2151028259","https://openalex.org/W2155763376","https://openalex.org/W2161637667","https://openalex.org/W2166559705","https://openalex.org/W2298650848","https://openalex.org/W2320617691","https://openalex.org/W2478908476","https://openalex.org/W2513061279","https://openalex.org/W2537347163","https://openalex.org/W2565559911","https://openalex.org/W2586441664","https://openalex.org/W2592240698","https://openalex.org/W2618628590","https://openalex.org/W2750037802","https://openalex.org/W2794794246","https://openalex.org/W2808106107","https://openalex.org/W2925324114","https://openalex.org/W2944082610","https://openalex.org/W4244299091"],"related_works":["https://openalex.org/W3106969033","https://openalex.org/W2186939576","https://openalex.org/W2357988910","https://openalex.org/W2377158164","https://openalex.org/W2187600494","https://openalex.org/W2114030128","https://openalex.org/W2948148442","https://openalex.org/W2135707701","https://openalex.org/W2352493357","https://openalex.org/W1976888655"],"abstract_inverted_index":{"To":[0],"overcome":[1],"the":[2,84,90,99,102,112,139,144],"limitation":[3],"of":[4,14,101,115,147],"high-utility":[5],"itemset":[6],"mining,":[7,37],"more":[8,152],"compact,":[9],"lossless,":[10],"and":[11,70,83,93],"concise":[12],"representations":[13],"high":[15],"utility":[16,136],"itemsets":[17],"(HUIs)":[18],"have":[19],"been":[20],"proposed":[21,57],"in":[22,38,62,123],"previous":[23,108],"works,":[24],"such":[25,73],"as":[26,74],"closed":[27],"HUIs":[28,32],"(CHUIs)":[29],"or":[30],"maximal":[31],"(MHUIs).":[33],"Focusing":[34],"into":[35,138],"MHUI":[36,103],"this":[39,130],"article,":[40],"we":[41],"present":[42],"efficient":[43,67],"approaches":[44],"to":[45,87,142],"directly":[46],"mine":[47],"MHUIs":[48],"from":[49],"transactional":[50],"databases":[51],"without":[52],"generating":[53,151],"any":[54],"candidates.":[55],"The":[56],"algorithms,":[58],"which":[59,119],"all":[60],"execute":[61],"one":[63],"phase,":[64],"utilize":[65],"many":[66,124],"data":[68],"structures":[69],"pruning":[71],"techniques":[72],"EUCP":[75],"combined":[76,80],"with":[77,81],"EUCS,":[78],"CUIP":[79],"FUCS,":[82],"P-set":[85],"structure":[86],"significantly":[88],"reduce":[89],"search":[91],"space":[92],"remove":[94],"nonpromising":[95],"itemsets,":[96],"thus,":[97,150],"increase":[98],"performance":[100],"mining":[104,140],"process.":[105],"Furthermore,":[106],"while":[107],"works":[109],"assumed":[110],"that":[111],"unit":[113],"profit":[114],"items":[116],"is":[117,120],"fixed,":[118],"not":[121],"practical":[122],"real-world":[125,148],"applications,":[126],"our":[127],"work":[128],"resolved":[129],"issue":[131],"by":[132],"applying":[133],"a":[134],"new":[135],"calculation":[137],"process":[141],"reflect":[143],"true":[145],"nature":[146],"databases,":[149],"accurate":[153],"results.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
