{"id":"https://openalex.org/W4312906349","doi":"https://doi.org/10.1109/tkde.2022.3208626","title":"Statistically Significant Pattern Mining With Ordinal Utility","display_name":"Statistically Significant Pattern Mining With Ordinal Utility","publication_year":2022,"publication_date":"2022-12-23","ids":{"openalex":"https://openalex.org/W4312906349","doi":"https://doi.org/10.1109/tkde.2022.3208626"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3208626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3208626","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Knowledge and Data Engineering","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/A5025003817","display_name":"Thien Q. Tran","orcid":"https://orcid.org/0000-0001-8377-501X"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Thien Q. Tran","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Ibaraki, Japan","Riken AIP, Chuo City, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Riken AIP, Chuo City, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008914720","display_name":"Kazuto Fukuchi","orcid":"https://orcid.org/0000-0003-3895-219X"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuto Fukuchi","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Ibaraki, Japan","Riken AIP, Chuo City, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Riken AIP, Chuo City, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038757231","display_name":"Youhei Akimoto","orcid":"https://orcid.org/0000-0003-2760-8123"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Youhei Akimoto","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Ibaraki, Japan","Riken AIP, Chuo City, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Riken AIP, Chuo City, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022139141","display_name":"Jun Sakuma","orcid":"https://orcid.org/0000-0001-5015-3812"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Sakuma","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Ibaraki, Japan","Riken AIP, Chuo City, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Riken AIP, Chuo City, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025003817"],"corresponding_institution_ids":["https://openalex.org/I146399215","https://openalex.org/I4210126580"],"apc_list":null,"apc_paid":null,"fwci":0.318,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66162943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"35","issue":"9","first_page":"8770","last_page":"8783"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9950000047683716,"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":0.9908999800682068,"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":0.8074597120285034},{"id":"https://openalex.org/keywords/false-discovery-rate","display_name":"False discovery rate","score":0.7626110911369324},{"id":"https://openalex.org/keywords/multiple-comparisons-problem","display_name":"Multiple comparisons problem","score":0.6436666250228882},{"id":"https://openalex.org/keywords/bonferroni-correction","display_name":"Bonferroni correction","score":0.6432331800460815},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.535067081451416},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.5104821920394897},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4672268331050873},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4640573263168335},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4549521803855896},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4528043568134308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4476286470890045},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.44268545508384705},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4132280945777893},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18847152590751648},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13085582852363586}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8074597120285034},{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.7626110911369324},{"id":"https://openalex.org/C183905921","wikidata":"https://www.wikidata.org/wiki/Q1038757","display_name":"Multiple comparisons problem","level":2,"score":0.6436666250228882},{"id":"https://openalex.org/C127808970","wikidata":"https://www.wikidata.org/wiki/Q385989","display_name":"Bonferroni correction","level":2,"score":0.6432331800460815},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.535067081451416},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.5104821920394897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4672268331050873},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4640573263168335},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4549521803855896},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4528043568134308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4476286470890045},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.44268545508384705},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4132280945777893},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18847152590751648},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13085582852363586},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3208626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3208626","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6134082957","display_name":null,"funder_award_id":"22H00519","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7810789773","display_name":null,"funder_award_id":"19H04164","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W97752496","https://openalex.org/W1484413656","https://openalex.org/W1871418963","https://openalex.org/W1968259950","https://openalex.org/W1976842852","https://openalex.org/W2014286755","https://openalex.org/W2018097250","https://openalex.org/W2036703787","https://openalex.org/W2051033132","https://openalex.org/W2104579579","https://openalex.org/W2109177042","https://openalex.org/W2121044470","https://openalex.org/W2177640251","https://openalex.org/W2387530501","https://openalex.org/W2467444569","https://openalex.org/W2588934844","https://openalex.org/W2742542169","https://openalex.org/W2804685987","https://openalex.org/W2950421339","https://openalex.org/W2963642566","https://openalex.org/W2964648205","https://openalex.org/W2973857687","https://openalex.org/W3035517781","https://openalex.org/W3045153201","https://openalex.org/W3080449656","https://openalex.org/W3102479286","https://openalex.org/W4234850881","https://openalex.org/W4235234743","https://openalex.org/W6628750762","https://openalex.org/W6678230397","https://openalex.org/W6774636380"],"related_works":["https://openalex.org/W2093104131","https://openalex.org/W2333750400","https://openalex.org/W2467227750","https://openalex.org/W4293336298","https://openalex.org/W2178204436","https://openalex.org/W4300887971","https://openalex.org/W2104806243","https://openalex.org/W3101083428","https://openalex.org/W4212966421","https://openalex.org/W1921844237"],"abstract_inverted_index":{"Statistically":[0],"significant":[1],"pattern":[2,8],"mining":[3,19],"(SSPM),":[4],"which":[5,45,127],"evaluates":[6],"each":[7],"via":[9],"a":[10,26,65,132],"hypothesis":[11,66],"test,":[12],"is":[13],"an":[14,56],"essential":[15],"and":[16,31,67,97,154,167],"challenging":[17],"data":[18,169],"task":[20],"for":[21,195],"knowledge":[22],"discovery.":[23],"We":[24,54,111,138],"introduce":[25],"preference":[27],"relation":[28],"between":[29],"patterns":[30,38,81,96,151,184],"aim":[32],"to":[33,107,170],"discover":[34],"the":[35,40,70,75,88,99,114,119,142,172,186,192],"most":[36],"preferred":[37],"under":[39,124],"constraint":[41],"of":[42,92,174],"statistical":[43],"significance,":[44],"has":[46],"never":[47],"been":[48],"considered":[49],"in":[50,136,185],"existing":[51,193],"SSPM":[52],"problems.":[53],"propose":[55],"iterative":[57],"multiple":[58],"testing":[59],"procedure":[60],"that":[61,113,141],"can":[62,86,117,128],"alternately":[63],"reject":[64],"safely":[68],"ignore":[69],"less":[71],"useful":[72,104,109,150,183],"hypotheses":[73],"than":[74,152,191],"rejected":[76],"one.":[77],"By":[78],"filtering":[79],"out":[80],"with":[82,164,188],"low":[83],"utility,":[84],"we":[85,160],"avoid":[87],"significance":[89,100],"budget":[90,101],"consumption":[91],"rejecting":[93],"useless":[94],"(uninteresting)":[95],"focus":[98],"on":[102],"more":[103,108,149,182],"patterns,":[105],"leading":[106],"discoveries.":[110],"show":[112,140],"proposed":[115,143,178],"method":[116,144,179,194],"control":[118],"familywise":[120],"error":[121],"rate":[122],"(FWER)":[123],"certain":[125],"assumptions,":[126],"be":[129],"satisfied":[130],"by":[131],"realistic":[133],"problem":[134],"class":[135],"SSPM.":[137],"also":[139],"always":[145],"discovers":[146],"equally":[147],"or":[148],"Tarone-Bonferroni":[153],"Subfamily-wise":[155],"Multiple":[156],"Testing":[157],"(SMT).":[158],"Finally,":[159],"conducted":[161,198],"several":[162],"experiments":[163,187],"both":[165],"synthetic":[166],"real-world":[168,189],"evaluate":[171],"performance":[173],"our":[175],"method.":[176],"The":[177],"discovered":[180],"many":[181],"datasets":[190],"all":[196],"five":[197],"tasks.":[199]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
