{"id":"https://openalex.org/W2131338731","doi":"https://doi.org/10.1145/1014052.1014141","title":"Generalizing the notion of support","display_name":"Generalizing the notion of support","publication_year":2004,"publication_date":"2004-08-22","ids":{"openalex":"https://openalex.org/W2131338731","doi":"https://doi.org/10.1145/1014052.1014141","mag":"2131338731"},"language":"en","primary_location":{"id":"doi:10.1145/1014052.1014141","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1014052.1014141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining","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/A5089436894","display_name":"Michael Steinbach","orcid":"https://orcid.org/0000-0002-7309-6395"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael Steinbach","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071546444","display_name":"Pang\u2010Ning Tan","orcid":"https://orcid.org/0000-0003-3205-0339"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pang-Ning Tan","raw_affiliation_strings":["Michigan State University"],"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100645812","display_name":"Vipin Kumar","orcid":"https://orcid.org/0000-0002-9040-2665"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vipin Kumar","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089436894"],"corresponding_institution_ids":["https://openalex.org/I2800403580"],"apc_list":null,"apc_paid":null,"fwci":13.727,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.9832664,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"689","last_page":"694"},"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":0.9973999857902527,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9764999747276306,"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":0.734022855758667},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5290125012397766},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.52311772108078},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5155117511749268},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5051007866859436},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4969835579395294},{"id":"https://openalex.org/keywords/boolean-function","display_name":"Boolean function","score":0.49258118867874146},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.49224796891212463},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4731869697570801},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4724597930908203},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.44514554738998413},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4194289445877075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2819293141365051},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2333931028842926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17616888880729675},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11490291357040405},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.1054719090461731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.734022855758667},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5290125012397766},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.52311772108078},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5155117511749268},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5051007866859436},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4969835579395294},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.49258118867874146},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.49224796891212463},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4731869697570801},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4724597930908203},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.44514554738998413},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4194289445877075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2819293141365051},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2333931028842926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17616888880729675},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11490291357040405},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.1054719090461731},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1014052.1014141","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1014052.1014141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1.3777","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.3777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-users.cs.umn.edu/~huix/publication/generalizedsupport.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1538285186","https://openalex.org/W1606298209","https://openalex.org/W1760551737","https://openalex.org/W1972870286","https://openalex.org/W2045487373","https://openalex.org/W2098296210","https://openalex.org/W2100417212","https://openalex.org/W2140190241","https://openalex.org/W2150141766","https://openalex.org/W2158454296","https://openalex.org/W4206109200","https://openalex.org/W4301491118","https://openalex.org/W6604588347","https://openalex.org/W6628750762","https://openalex.org/W6632147796","https://openalex.org/W6680704940","https://openalex.org/W6683534485"],"related_works":["https://openalex.org/W2751920613","https://openalex.org/W2392697706","https://openalex.org/W2113309085","https://openalex.org/W366033468","https://openalex.org/W2410549043","https://openalex.org/W3014936414","https://openalex.org/W2394010168","https://openalex.org/W2993700121","https://openalex.org/W2184109998","https://openalex.org/W2362772308"],"abstract_inverted_index":{"The":[0],"goal":[1,87],"of":[2,12,24,56,67,88,120,140,144,152],"this":[3],"paper":[4],"is":[5,40,91],"to":[6,21,92,95,114,174],"show":[7],"that":[8,30,39,48,61,77],"generalizing":[9,37,178],"the":[10,43,54,63,141,150,162],"notion":[11],"support":[13,38,49,109,116,153,180],"can":[14,50,111],"be":[15,51,112,172],"useful":[16,46],"in":[17,70],"extending":[18],"association":[19,123,165],"analysis":[20],"non-traditional":[22],"types":[23],"patterns":[25],"and":[26,74,100,103,132],"non-binary":[27],"data.":[28,157],"To":[29],"end,":[31],"we":[32,105],"describe":[33,115],"a":[34,59,68,75,82,118,179],"framework":[35,90,110],"for":[36,117,155,169],"based":[41],"on":[42],"simple,":[44],"but":[45],"observation":[47],"viewed":[52],"as":[53,126],"composition":[55],"two":[57,138],"functions:":[58],"function":[60,76],"evaluates":[62],"strength":[64],"or":[65],"presence":[66],"pattern":[69,166],"each":[71],"object":[72],"(transaction)":[73],"summarizes":[78],"these":[79],"evaluations":[80],"with":[81],"single":[83],"number.":[84],"A":[85],"key":[86],"any":[89],"allow":[93],"people":[94],"more":[96],"easily":[97],"express,":[98],"explore,":[99],"communicate":[101],"ideas,":[102],"hence,":[104],"illustrate":[106],"how":[107,161],"our":[108],"used":[113,122],"variety":[119],"commonly":[121],"patterns,":[124,131],"such":[125],"frequent":[127],"itemsets,":[128],"general":[129],"Boolean":[130],"error-tolerant":[133],"itemsets.":[134],"We":[135],"also":[136],"present":[137],"examples":[139],"practical":[142],"usefulness":[143,151],"generalized":[145],"support.":[146],"One":[147],"example":[148,159],"shows":[149,160],"functions":[154],"continuous":[156,175],"Another":[158],"hyperclique":[163],"pattern---an":[164],"originally":[167],"defined":[168],"binary":[170],"data---can":[171],"extended":[173],"data":[176],"by":[177],"function.":[181]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}