{"id":"https://openalex.org/W2557361407","doi":"https://doi.org/10.1109/kse.2016.7758022","title":"MHHUSP: An integrated algorithm for mining and Hiding High Utility Sequential Patterns","display_name":"MHHUSP: An integrated algorithm for mining and Hiding High Utility Sequential Patterns","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2557361407","doi":"https://doi.org/10.1109/kse.2016.7758022","mag":"2557361407"},"language":"en","primary_location":{"id":"doi:10.1109/kse.2016.7758022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse.2016.7758022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eighth International Conference on Knowledge and Systems Engineering (KSE)","raw_type":"proceedings-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/A5112308441","display_name":"Minh Nguyen Quang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155035","display_name":"Academy of Cryptography Techniques","ror":"https://ror.org/05nfbnp91","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210155035"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Minh Nguyen Quang","raw_affiliation_strings":["Department of Computer Science, Academy of Cryptography Techniques, Ho Chi Minh, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Academy of Cryptography Techniques, Ho Chi Minh, Viet Nam","institution_ids":["https://openalex.org/I4210155035"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032223071","display_name":"Duy-Tai Dinh","orcid":"https://orcid.org/0000-0001-7597-4262"},"institutions":[{"id":"https://openalex.org/I4210155035","display_name":"Academy of Cryptography Techniques","ror":"https://ror.org/05nfbnp91","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210155035"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tai Dinh","raw_affiliation_strings":["Department of Computer Science, Academy of Cryptography Techniques, Ho Chi Minh, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Academy of Cryptography Techniques, Ho Chi Minh, Viet Nam","institution_ids":["https://openalex.org/I4210155035"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054860858","display_name":"Ut Huynh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116271","display_name":"Ho Chi Minh City University of Industry and Trade","ror":"https://ror.org/02b2dfs85","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210116271"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Ut Huynh","raw_affiliation_strings":["Department of Computer Science, Ho Chi Minh City Industry and Trade College, Ho Chi Minh, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Ho Chi Minh City Industry and Trade College, Ho Chi Minh, Viet Nam","institution_ids":["https://openalex.org/I4210116271"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057761132","display_name":"Bac Le","orcid":"https://orcid.org/0000-0002-4306-6945"},"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"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Bac Le","raw_affiliation_strings":["Department of Computer Science, VNU HCMC, Ho Chi Minh, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, VNU HCMC, Ho Chi Minh, Viet Nam","institution_ids":["https://openalex.org/I123565023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112308441"],"corresponding_institution_ids":["https://openalex.org/I4210155035"],"apc_list":null,"apc_paid":null,"fwci":5.3078,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.95834848,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"32","issue":null,"first_page":"13","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9905999898910522,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9810000061988831,"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/computer-science","display_name":"Computer science","score":0.8326847553253174},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.6733179688453674},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5657256841659546},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.5504584312438965},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5476592183113098},{"id":"https://openalex.org/keywords/business-process-discovery","display_name":"Business process discovery","score":0.4295826554298401},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4060797393321991},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3528328537940979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33992114663124084},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.32093188166618347},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17263340950012207},{"id":"https://openalex.org/keywords/business-process-modeling","display_name":"Business process modeling","score":0.1476609706878662},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.14498528838157654}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8326847553253174},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.6733179688453674},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5657256841659546},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.5504584312438965},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5476592183113098},{"id":"https://openalex.org/C93453677","wikidata":"https://www.wikidata.org/wiki/Q1017580","display_name":"Business process discovery","level":5,"score":0.4295826554298401},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4060797393321991},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3528328537940979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33992114663124084},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.32093188166618347},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17263340950012207},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"score":0.1476609706878662},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.14498528838157654},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kse.2016.7758022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse.2016.7758022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eighth International Conference on Knowledge and Systems Engineering (KSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2015045861","https://openalex.org/W2126046032","https://openalex.org/W2242259092"],"related_works":["https://openalex.org/W2150478723","https://openalex.org/W4365511202","https://openalex.org/W4300560926","https://openalex.org/W3087909741","https://openalex.org/W2345053703","https://openalex.org/W3184122949","https://openalex.org/W2050159024","https://openalex.org/W3194914602","https://openalex.org/W2142618121","https://openalex.org/W2424740894"],"abstract_inverted_index":{"Hiding":[0,125],"High":[1,126],"Utility":[2,127],"Sequential":[3,128],"Patterns":[4],"(HUSPs)":[5],"is":[6,74,145],"the":[7,11,26,108,152,155,172],"task":[8],"of":[9,154,160],"finding":[10],"ways":[12],"how":[13],"to":[14,79,96,150],"hide":[15],"high":[16,67,82],"utility":[17,68,83],"sequential":[18,69,84],"patterns":[19,85],"appearing":[20],"in":[21,40,47,86,107,137,158],"sequence":[22],"databases":[23],"so":[24],"that":[25,169],"adversaries":[27],"cannot":[28],"discover":[29,80],"them":[30],"after":[31],"hiding.":[32],"It":[33],"has":[34,44],"become":[35],"an":[36,118],"important":[37],"research":[38],"topic":[39],"recent":[41],"years":[42],"and":[43,56,91,163],"been":[45,63],"applied":[46],"various":[48],"domains":[49],"such":[50],"as":[51],"business,":[52],"marketing,":[53],"stock,":[54],"health":[55],"security,":[57],"etc.":[58],"However,":[59],"few":[60],"methods":[61],"have":[62],"proposed":[64,156],"for":[65],"hiding":[66,94,135],"patterns.":[70],"The":[71],"traditional":[72],"approach":[73],"first":[75],"using":[76],"mining":[77,132],"algorithms":[78,95,101],"all":[81],"a":[87,138],"specific":[88],"user":[89],"threshold":[90],"then":[92],"apply":[93],"conceal":[97],"them.":[98],"Generally,":[99],"these":[100],"are":[102],"usually":[103],"time-consuming":[104],"when":[105],"performing":[106],"large":[109],"datasets.":[110],"To":[111],"address":[112],"this":[113,115],"issue,":[114],"paper":[116],"presents":[117],"integrated":[119],"algorithm":[120,157,175],"named":[121],"MHHUSP":[122,170],"(Mining":[123],"with":[124,134],"Patterns)":[129],"which":[130],"combines":[131],"process":[133,136],"common":[139],"process.":[140],"An":[141],"extensive":[142],"experimental":[143],"evaluation":[144],"conducted":[146],"on":[147],"large-scale":[148],"datasets":[149],"evaluate":[151],"performance":[153],"terms":[159],"execution":[161],"time":[162],"memory":[164],"consumption.":[165],"Experimental":[166],"results":[167],"show":[168],"outperforms":[171],"state-of-the-art":[173],"HHUSP":[174],"[2].":[176]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
