{"id":"https://openalex.org/W1599507890","doi":"https://doi.org/10.1109/ride.1997.583696","title":"Evaluation of sampling for data mining of association rules","display_name":"Evaluation of sampling for data mining of association rules","publication_year":2002,"publication_date":"2002-11-22","ids":{"openalex":"https://openalex.org/W1599507890","doi":"https://doi.org/10.1109/ride.1997.583696","mag":"1599507890"},"language":"en","primary_location":{"id":"doi:10.1109/ride.1997.583696","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ride.1997.583696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Seventh International Workshop on Research Issues in Data Engineering. High Performance Database Management for Large-Scale Applications","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/A5019559411","display_name":"Mohammed J. Zaki","orcid":"https://orcid.org/0000-0003-4711-0234"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M.J. Zaki","raw_affiliation_strings":["Computer Science Department, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070578934","display_name":"S Parthasarathy","orcid":"https://orcid.org/0000-0002-3808-6722"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Parthasarathy","raw_affiliation_strings":["Computer Science Department, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Li","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Computer Science Department, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":null,"display_name":"M. Ogihara","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Ogihara","raw_affiliation_strings":["Computer Science Department, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.4401,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.96695366,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13497","display_name":"Hermeneutics and Narrative Identity","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13497","display_name":"Hermeneutics and Narrative Identity","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13695","display_name":"Aging, Elder Care, and Social Issues","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13099","display_name":"Health, Medicine and Society","score":0.95660001039505,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.6662073135375977},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.566655158996582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5103461146354675},{"id":"https://openalex.org/keywords/reliability-theory","display_name":"Reliability theory","score":0.4963558316230774},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4742549955844879},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.46410974860191345},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4462955594062805},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.44045397639274597},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21326658129692078},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12980905175209045}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.6662073135375977},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.566655158996582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5103461146354675},{"id":"https://openalex.org/C201729545","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability theory","level":3,"score":0.4963558316230774},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4742549955844879},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.46410974860191345},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4462955594062805},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.44045397639274597},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21326658129692078},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12980905175209045},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C163164238","wikidata":"https://www.wikidata.org/wiki/Q2737027","display_name":"Failure rate","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/ride.1997.583696","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ride.1997.583696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Seventh International Workshop on Research Issues in Data Engineering. High Performance Database Management for Large-Scale Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.128.578","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.128.578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.ohio-state.edu/dmrl/papers/ride97.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.143.9593","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.9593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.npac.syr.edu/projects/pcrc/doc/rochester/97.RIDE.Eval__of_sampling_for_data_mining_of_assoc_rules.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.151.1057","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.1057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.rpi.edu/~zaki/PaperDir/RIDE97.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.189.3028","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.189.3028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.hpjava.org/pcrc/doc/rochester/97.RIDE.Eval__of_sampling_for_data_mining_of_assoc_rules.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.51.4966","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.4966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hypatia.dcs.qmw.ac.uk/data/edu/cs.rochester.edu/systems/96.Sampling_for_data_mining_of_association_rules.ps.gz","raw_type":"text"},{"id":"pmh:oai:urresearch.rochester.edu:349","is_oa":false,"landing_page_url":"http://hdl.handle.net/1802/491","pdf_url":null,"source":{"id":"https://openalex.org/S4306400518","display_name":"UR Research (University of Rochester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5388228","host_organization_name":"University of Rochester","host_organization_lineage":["https://openalex.org/I5388228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Technical Report"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1595687138","https://openalex.org/W2040793975","https://openalex.org/W2166559705","https://openalex.org/W4248966671","https://openalex.org/W6600858232","https://openalex.org/W6628750762","https://openalex.org/W6635637936","https://openalex.org/W6635733350","https://openalex.org/W6678833645","https://openalex.org/W6682595035"],"related_works":["https://openalex.org/W1597561788","https://openalex.org/W2166559705","https://openalex.org/W1506285740","https://openalex.org/W1484413656","https://openalex.org/W2062277303","https://openalex.org/W2125412267","https://openalex.org/W2122886308","https://openalex.org/W2879209072","https://openalex.org/W1601976264","https://openalex.org/W2369717039","https://openalex.org/W2037965136","https://openalex.org/W2956021301","https://openalex.org/W1496195307","https://openalex.org/W2009355930","https://openalex.org/W2135571072","https://openalex.org/W2380482687","https://openalex.org/W128746893","https://openalex.org/W2383343351","https://openalex.org/W2377815658","https://openalex.org/W2778681462"],"abstract_inverted_index":{"The":[0,12,53],"discovery":[1],"of":[2,19,37,59,84,95,135,150],"association":[3,20,70],"rules":[4,21],"is":[5,64],"a":[6],"prototypical":[7],"problem":[8],"in":[9,45,61,111,124],"data":[10,17,122],"mining.":[11],"current":[13],"algorithms":[14],"proposed":[15],"for":[16,68],"mining":[18,77],"make":[22,106],"repeated":[23],"passes":[24],"over":[25],"the":[26,30,42,47,62,76,93,107,121,125,133,142,145,151],"database":[27,48,63,109,126],"to":[28,97,105],"determine":[29],"commonly":[31],"occurring":[32],"item":[33],"sets":[34],"(or":[35],"set":[36],"items).":[38],"For":[39],"large":[40],"databases,":[41,139],"I/O":[43,88],"overhead":[44],"scanning":[46],"can":[49,73,118],"be":[50,98,103],"extremely":[51],"high.":[52],"authors":[54],"show":[55,115],"that":[56,116],"random":[57],"sampling":[58,117,136],"transactions":[60,96],"an":[65,82],"effective":[66],"method":[67],"finding":[69],"rules.":[71],"Sampling":[72],"speed":[74],"up":[75],"process":[78],"by":[79,86],"more":[80],"than":[81],"order":[83],"magnitude":[85],"reducing":[87],"costs":[89],"and":[90,140,148],"drastically":[91],"shrinking":[92],"number":[94],"considered.":[99],"They":[100,130],"may":[101],"also":[102],"able":[104],"sampled":[108],"resident":[110],"main-memory.":[112],"Furthermore,":[113],"they":[114],"accurately":[119],"represent":[120],"patterns":[123],"with":[127],"high":[128],"confidence.":[129],"experimentally":[131],"evaluate":[132],"effectiveness":[134],"on":[137],"different":[138],"study":[141],"relationship":[143],"between":[144],"performance,":[146],"accuracy,":[147],"confidence":[149],"chosen":[152],"sample.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}