{"id":"https://openalex.org/W2161637667","doi":"https://doi.org/10.1145/2396761.2396773","title":"Mining high utility itemsets without candidate generation","display_name":"Mining high utility itemsets without candidate generation","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2161637667","doi":"https://doi.org/10.1145/2396761.2396773","mag":"2161637667"},"language":"en","primary_location":{"id":"doi:10.1145/2396761.2396773","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2396773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5085983836","display_name":"Mengchi Liu","orcid":"https://orcid.org/0000-0002-8245-2355"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengchi Liu","raw_affiliation_strings":["Wuhan University &amp; Carleton University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University &amp; Carleton University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038266577","display_name":"Junfeng Qu","orcid":"https://orcid.org/0000-0003-2252-8757"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Qu","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":14.4141,"has_fulltext":false,"cited_by_count":648,"citation_normalized_percentile":{"value":0.99387731,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"64"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9944000244140625,"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/T11106","display_name":"Data Management and Algorithms","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7378479242324829},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6796500086784363},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6597552299499512},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5011577606201172},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.417686402797699},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.41063904762268066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22774818539619446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2101612389087677}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7378479242324829},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6796500086784363},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6597552299499512},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5011577606201172},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.417686402797699},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.41063904762268066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22774818539619446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2101612389087677},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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:10.1145/2396761.2396773","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2396773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.5199999809265137,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W80315153","https://openalex.org/W85121894","https://openalex.org/W1485058668","https://openalex.org/W1506285740","https://openalex.org/W1510033442","https://openalex.org/W1603563923","https://openalex.org/W1967237926","https://openalex.org/W2003819708","https://openalex.org/W2041884065","https://openalex.org/W2049785083","https://openalex.org/W2076404872","https://openalex.org/W2099404336","https://openalex.org/W2102580500","https://openalex.org/W2110893883","https://openalex.org/W2115274736","https://openalex.org/W2115482638","https://openalex.org/W2125352627","https://openalex.org/W2138745909","https://openalex.org/W2143428105","https://openalex.org/W2151028259","https://openalex.org/W2162571043","https://openalex.org/W2167115106","https://openalex.org/W2293888039","https://openalex.org/W4300425102"],"related_works":["https://openalex.org/W2367573304","https://openalex.org/W2537030075","https://openalex.org/W2006971496","https://openalex.org/W4310720718","https://openalex.org/W2369717039","https://openalex.org/W2384676159","https://openalex.org/W2065998343","https://openalex.org/W2982449560","https://openalex.org/W2110683262","https://openalex.org/W2375024673"],"abstract_inverted_index":{"High":[0],"utility":[1,11,22,45,93,115,129,151,162],"itemsets":[2,23,53,163],"refer":[3],"to":[4,89,125],"the":[5,61,70,84,128,135,140,147,165,176],"sets":[6],"of":[7,20,64,77,83,143,153,193],"items":[8],"with":[9,175],"high":[10,21,44,92,114,161],"like":[12],"profit":[13],"in":[14,28,38,191],"a":[15,25,73,120,169],"database,":[16],"and":[17,32,58,134,150,182,197],"efficient":[18],"mining":[19,40],"plays":[24],"crucial":[26],"role":[27],"many":[29],"real-life":[30],"applications":[31],"is":[33],"an":[34,105,132],"important":[35],"research":[36],"issue":[37],"data":[39],"area.":[41],"To":[42],"identify":[43],"itemsets,":[46,156],"most":[47,82],"existing":[48],"algorithms":[49,68,178,190],"first":[50],"generate":[51],"candidate":[52,155],"by":[54],"overestimating":[55],"their":[56,95],"utilities,":[57],"subsequently":[59],"compute":[60],"exact":[62,96],"utilities":[63,97],"these":[65,189],"candidates.":[66],"These":[67],"incur":[69],"problem":[71],"that":[72,186],"very":[74],"large":[75],"number":[76],"candidates":[78,85],"are":[79,86,98],"generated,":[80],"but":[81],"found":[87],"out":[88],"be":[90],"not":[91],"after":[94],"computed.":[99],"In":[100],"this":[101],"paper,":[102],"we":[103],"propose":[104],"algorithm,":[106],"called":[107,123],"HUI-Miner":[108,118,157,174,187],"(High":[109],"Utility":[110],"Itemset":[111],"Miner),":[112],"for":[113,138],"itemset":[116,133],"mining.":[117],"uses":[119],"novel":[121],"structure,":[122],"utility-list,":[124],"store":[126],"both":[127,194],"information":[130,137],"about":[131],"heuristic":[136],"pruning":[139],"search":[141],"space":[142],"HUI-Miner.":[144],"By":[145],"avoiding":[146],"costly":[148],"generation":[149],"computation":[152],"numerous":[154],"can":[158],"efficiently":[159],"mine":[160],"from":[164,168],"utility-lists":[166],"constructed":[167],"mined":[170],"database.":[171],"We":[172],"compared":[173],"state-of-the-art":[177],"on":[179],"various":[180],"databases,":[181],"experimental":[183],"results":[184],"show":[185],"outperforms":[188],"terms":[192],"running":[195],"time":[196],"memory":[198],"consumption.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":36},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":66},{"year":2022,"cited_by_count":68},{"year":2021,"cited_by_count":77},{"year":2020,"cited_by_count":73},{"year":2019,"cited_by_count":71},{"year":2018,"cited_by_count":48},{"year":2017,"cited_by_count":49},{"year":2016,"cited_by_count":54},{"year":2015,"cited_by_count":36},{"year":2014,"cited_by_count":18},{"year":2013,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
