{"id":"https://openalex.org/W1500488572","doi":"https://doi.org/10.1109/icde.2004.1320063","title":"On local pruning of association rules using directed hypergraphs","display_name":"On local pruning of association rules using directed hypergraphs","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W1500488572","doi":"https://doi.org/10.1109/icde.2004.1320063","mag":"1500488572"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2004.1320063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/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":"funder","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"None Sanjay Chawla","raw_affiliation_strings":["Knowledge Manage. Res. Group, Sydney Univ., NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Knowledge Manage. Res. Group, Sydney Univ., NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036670654","display_name":"Joseph G. Davis","orcid":"https://orcid.org/0000-0001-9871-8771"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"funder","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"J. Davis","raw_affiliation_strings":["Knowledge Manage. Res. Group, Sydney Univ., NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Knowledge Manage. Res. Group, Sydney Univ., NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101429751","display_name":"Gaurav Pandey","orcid":"https://orcid.org/0000-0003-4450-1766"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"funder","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"None Gaurav Pandey","raw_affiliation_strings":["Indian Institute of Technology Kanpur \u2028"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kanpur \u2028","institution_ids":["https://openalex.org/I94234084"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.862,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":26,"citation_normalized_percentile":{"value":0.855043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":89},"biblio":{"volume":null,"issue":null,"first_page":"832","last_page":"832"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9993,"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":0.9993,"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":0.9749,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9455,"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/pruning","display_name":"Pruning","score":0.84676886},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.7591013},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.57637805}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.84676886},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7776589},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.7591013},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.6776153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64011467},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.57637805},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.53722656},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.50826687},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47759843},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3855762},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33146223},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31547934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31249908},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.24841186},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2004.1320063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":21,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1494547863","https://openalex.org/W1524566587","https://openalex.org/W1546862091","https://openalex.org/W1554757161","https://openalex.org/W1571035772","https://openalex.org/W1807501439","https://openalex.org/W1942367216","https://openalex.org/W2052870551","https://openalex.org/W2054784808","https://openalex.org/W2064853889","https://openalex.org/W2065002018","https://openalex.org/W2074647706","https://openalex.org/W2084812512","https://openalex.org/W2094974204","https://openalex.org/W2097800052","https://openalex.org/W2112660220","https://openalex.org/W2131423065","https://openalex.org/W2154642793","https://openalex.org/W2166559705","https://openalex.org/W60856054"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W366033468","https://openalex.org/W3207760230","https://openalex.org/W2536018345","https://openalex.org/W2392697706","https://openalex.org/W17155033","https://openalex.org/W1590307681","https://openalex.org/W1496222301"],"abstract_inverted_index":{"Here":[0,48],"we":[1,49],"propose":[2],"an":[3,44,55],"adaptive":[4],"local":[5],"pruning":[6],"method":[7,12],"for":[8],"association":[9,22,40,45],"rules.":[10],"Our":[11],"exploits":[13],"the":[14,39,63,67],"exact":[15],"mapping":[16],"between":[17],"a":[18,51],"certain":[19],"class":[20],"of":[21,54,62,69],"rules,":[23],"namely":[24],"those":[25],"whose":[26],"consequents":[27],"are":[28],"singletons":[29],"and":[30,65],"backward":[31],"directed":[32],"hypergraphs":[33],"(B-graphs).":[34],"The":[35],"hypergraph":[36],"which":[37],"represents":[38],"rules":[41,46],"is":[42],"called":[43],"network(ARN).":[47],"present":[50],"simple":[52],"example":[53],"ARN.":[56],"We":[57],"further":[58],"prove":[59],"several":[60],"properties":[61],"ARN":[64],"apply":[66],"results":[68],"our":[70],"approach":[71],"to":[72],"two":[73],"popular":[74],"data":[75],"sets.":[76]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1500488572","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-04-16T08:48:51.381059","created_date":"2016-06-24"}