{"id":"https://openalex.org/W2078698965","doi":"https://doi.org/10.1145/1134030.1134038","title":"On discovery of maximal confident rules without support pruning in microarray data","display_name":"On discovery of maximal confident rules without support pruning in microarray data","publication_year":2005,"publication_date":"2005-08-21","ids":{"openalex":"https://openalex.org/W2078698965","doi":"https://doi.org/10.1145/1134030.1134038","mag":"2078698965"},"language":"en","primary_location":{"id":"doi:10.1145/1134030.1134038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1134030.1134038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th international workshop on Bioinformatics","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/A5005311418","display_name":"Tara McIntosh","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tara McIntosh","raw_affiliation_strings":["The University of Sydney, Sydney, Australia","The University of Sydney Sydney, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"The University of Sydney Sydney, Australia#TAB#","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037947876","display_name":"Sanjay Chawla","orcid":"https://orcid.org/0000-0002-8102-2572"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sanjay Chawla","raw_affiliation_strings":["The University of Sydney, Sydney, Australia","The University of Sydney Sydney, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"The University of Sydney Sydney, Australia#TAB#","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":0.5002,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63493339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9944999814033508,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.8652766942977905},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.7912852764129639},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7236738801002502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6590816378593445},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.577284038066864},{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.4723818302154541},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3310099244117737},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09349799156188965},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07767152786254883}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8652766942977905},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7912852764129639},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7236738801002502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6590816378593445},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.577284038066864},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.4723818302154541},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3310099244117737},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09349799156188965},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07767152786254883},{"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:10.1145/1134030.1134038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1134030.1134038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th international workshop on Bioinformatics","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":22,"referenced_works":["https://openalex.org/W110175884","https://openalex.org/W1527927437","https://openalex.org/W1537336823","https://openalex.org/W1577170573","https://openalex.org/W1967547048","https://openalex.org/W1974015253","https://openalex.org/W2012886963","https://openalex.org/W2063389953","https://openalex.org/W2066456671","https://openalex.org/W2079829409","https://openalex.org/W2102992354","https://openalex.org/W2111254498","https://openalex.org/W2118843309","https://openalex.org/W2125208521","https://openalex.org/W2138073318","https://openalex.org/W2140541235","https://openalex.org/W2146264532","https://openalex.org/W2147864684","https://openalex.org/W2152653671","https://openalex.org/W2166559705","https://openalex.org/W2916147039","https://openalex.org/W6634492548"],"related_works":["https://openalex.org/W4281971614","https://openalex.org/W2113309085","https://openalex.org/W2410549043","https://openalex.org/W2133788718","https://openalex.org/W2394010168","https://openalex.org/W3014936414","https://openalex.org/W4308793916","https://openalex.org/W2993700121","https://openalex.org/W2184109998","https://openalex.org/W2362772308"],"abstract_inverted_index":{"Microarray":[0],"data":[1],"provides":[2],"a":[3,21,82,129],"perfect":[4],"riposte":[5],"to":[6,52,59,65,75,119,131],"the":[7,24,36,62,72,77,89,108,113,133,137,148],"original":[8],"assumption":[9],"underlying":[10],"association":[11],"rule":[12,47],"mining":[13,48,54],"--":[14],"large":[15],"but":[16,100],"sparse":[17],"transaction":[18],"sets.":[19,57],"In":[20,103],"typical":[22],"microarray":[23],"number":[25,37],"of":[26,32,38,44,91,117,136,143],"columns":[27],"(genes)":[28],"is":[29,81,155],"an":[30],"order":[31],"magnitude":[33],"larger":[34],"than":[35],"rows":[39],"(experiments).":[40],"A":[41],"new":[42],"family":[43],"row":[45],"enumerated":[46],"algorithms":[49,63],"have":[50,97],"emerged":[51],"facilitate":[53],"in":[55,88],"dense":[56],"However,":[58],"date,":[60],"all":[61],"proposed":[64],"mine":[66,121],"expression":[67],"relationships":[68,139],"alone":[69],"rely":[70],"on":[71,147],"support":[73,99],"measure":[74],"prune":[76],"search":[78],"space.":[79],"This":[80],"major":[83],"shortcoming":[84],"as":[85],"it":[86],"results":[87],"pruning":[90],"many":[92],"potentially":[93],"interesting":[94],"rules":[95],"which":[96,111],"low":[98],"high":[101,123],"confidence.":[102],"this":[104],"paper":[105],"we":[106],"propose":[107],"MAXCONF":[109,144],"algorithm":[110],"exploits":[112],"weak":[114],"downward":[115],"closure":[116],"confidence":[118,124],"directly":[120],"for":[122],"rules.":[125],"We":[126],"also":[127],"provide":[128],"means":[130],"evaluate":[132],"biological":[134],"significance":[135],"gene":[138],"identified.":[140],"An":[141],"evaluation":[142],"with":[145],"RERII":[146],"database":[149],"BIND":[150],"shows":[151],"that":[152],"their":[153],"recall":[154],"94%":[156],"and":[157],".15%":[158],"respectively.":[159]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
