{"id":"https://openalex.org/W2020394259","doi":"https://doi.org/10.1145/2484838.2484850","title":"Towards efficient discovery of coverage patterns in transactional databases","display_name":"Towards efficient discovery of coverage patterns in transactional databases","publication_year":2013,"publication_date":"2013-07-29","ids":{"openalex":"https://openalex.org/W2020394259","doi":"https://doi.org/10.1145/2484838.2484850","mag":"2020394259"},"language":"en","primary_location":{"id":"doi:10.1145/2484838.2484850","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484838.2484850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference on Scientific and Statistical Database Management","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/A5064495970","display_name":"R. Uday Kiran","orcid":"https://orcid.org/0000-0002-5417-0289"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"R. Uday Kiran","raw_affiliation_strings":["The University of Tokyo, Japan","The University of Tokyo, JAPAN"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"The University of Tokyo, JAPAN","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005790090","display_name":"Masashi Toyoda","orcid":"https://orcid.org/0000-0001-9473-5531"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masashi Toyoda","raw_affiliation_strings":["The University of Tokyo, Japan","The University of Tokyo, JAPAN"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"The University of Tokyo, JAPAN","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056438865","display_name":"Masaru Kitsuregawa","orcid":"https://orcid.org/0000-0003-4027-2994"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaru Kitsuregawa","raw_affiliation_strings":["The University of Tokyo, Japan and National Institute of Informatics, Japan","The University of Tokyo, Japan and National Institute of Informatics, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan and National Institute of Informatics, Japan","institution_ids":["https://openalex.org/I184597095","https://openalex.org/I74801974"]},{"raw_affiliation_string":"The University of Tokyo, Japan and National Institute of Informatics, Japan#TAB#","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064495970"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16521262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.991599977016449,"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":0.9538999795913696,"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":0.7622078657150269},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7554316520690918},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6847453117370605},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4983022212982178},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.4976852238178253},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.465408593416214},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.45168620347976685},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.42515113949775696},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42328062653541565},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.40517452359199524},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33048176765441895},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.21536248922348022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7622078657150269},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7554316520690918},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6847453117370605},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4983022212982178},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.4976852238178253},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.465408593416214},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.45168620347976685},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.42515113949775696},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42328062653541565},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.40517452359199524},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33048176765441895},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.21536248922348022},{"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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2484838.2484850","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484838.2484850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference on Scientific and Statistical Database Management","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":6,"referenced_works":["https://openalex.org/W202555846","https://openalex.org/W1506285740","https://openalex.org/W2044306058","https://openalex.org/W2059068852","https://openalex.org/W2122240322","https://openalex.org/W4230488432"],"related_works":["https://openalex.org/W2041292553","https://openalex.org/W2532722555","https://openalex.org/W578103448","https://openalex.org/W3005442585","https://openalex.org/W2016658112","https://openalex.org/W2378038268","https://openalex.org/W4294969058","https://openalex.org/W3017158386","https://openalex.org/W2989589039","https://openalex.org/W2337567150"],"abstract_inverted_index":{"Coverage":[0],"pattern":[1,111],"mining":[2,57,142],"is":[3,147],"an":[4],"important":[5],"model":[6],"in":[7,27,45,50,69,109],"data":[8],"mining.":[9],"It":[10,76],"provides":[11],"useful":[12],"information":[13],"pertaining":[14],"to":[15,24,72,81,119,133],"the":[16,25,37,42,46,53,70,74,83,96,110,121,135],"sets":[17],"of":[18,56],"items":[19],"that":[20,89,141],"have":[21,87],"coverage":[22,32,143],"interesting":[23],"users":[26],"a":[28,78,115],"transactional":[29],"database.":[30],"The":[31,137],"patterns":[33,144],"do":[34],"not":[35],"satisfy":[36],"anti-monotonic":[38],"property.":[39],"This":[40],"increases":[41,52],"search":[43,84,97,122],"space":[44,98],"itemset":[47],"lattice,":[48],"which":[49],"turn":[51],"computational":[54],"cost":[55],"these":[58],"patterns.":[59,75,136],"An":[60,124],"Apriori-like":[61,125],"algorithm":[62],"known":[63],"as":[64],"CMine":[65],"has":[66,129],"been":[67,131],"proposed":[68,132],"literature":[71],"discover":[73,134],"employs":[77],"pruning":[79,117],"technique":[80,118],"reduce":[82,120],"space.":[85,123],"We":[86],"observed":[88],"there":[90],"exists":[91],"further":[92],"scope":[93],"for":[94],"reducing":[95],"effectively.":[99],"In":[100],"this":[101],"paper,":[102],"we":[103],"theoretically":[104],"analyze":[105],"different":[106],"measures":[107],"used":[108],"model,":[112],"and":[113],"introduce":[114],"novel":[116],"algorithm,":[126],"called":[127],"CMine++,":[128],"also":[130],"performance":[138],"study":[139],"shows":[140],"with":[145],"CMine++":[146],"efficient.":[148]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
