{"id":"https://openalex.org/W2027770225","doi":"https://doi.org/10.1145/1081870.1081908","title":"Mining closed relational graphs with connectivity constraints","display_name":"Mining closed relational graphs with connectivity constraints","publication_year":2005,"publication_date":"2005-08-21","ids":{"openalex":"https://openalex.org/W2027770225","doi":"https://doi.org/10.1145/1081870.1081908","mag":"2027770225"},"language":"en","primary_location":{"id":"doi:10.1145/1081870.1081908","doi":"https://doi.org/10.1145/1081870.1081908","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1081870.1081908","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining","raw_type":"proceedings-article"},"volume":null,"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/A5047709762","display_name":"Xifeng Yan","orcid":"https://orcid.org/0009-0000-6508-4792","observed_orcids":["https://orcid.org/0009-0000-6508-4792"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xifeng Yan","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL","[University of Illinois at Urbana-Champaign,Urbana,IL]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"[University of Illinois at Urbana-Champaign,Urbana,IL]","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050577808","display_name":"Xianghong Jasmine Zhou","orcid":"https://orcid.org/0000-0002-4522-7490","observed_orcids":["https://orcid.org/0000-0002-4522-7490"]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"X. Jasmine Zhou","raw_affiliation_strings":["University of Southern California, Los Angeles, CA","University of Southern California,,,Los Angeles,CA,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California,,,Los Angeles,CA,","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019539533","display_name":"Jiawei Han","orcid":"https://orcid.org/0000-0002-3629-2696","observed_orcids":["https://orcid.org/0000-0002-3629-2696"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Han","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL","[University of Illinois at Urbana-Champaign,Urbana,IL]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"[University of Illinois at Urbana-Champaign,Urbana,IL]","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.0616,"has_fulltext":false,"cited_by_count":149,"citation_normalized_percentile":{"value":0.97525812,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":92,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"324","last_page":"333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.7348999977111816,"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":0.7348999977111816,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.2533999979496002,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.0020000000949949026,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/relational-graph","display_name":"relational graph","score":0.9900000095367432},{"id":"https://openalex.org/keywords/connectivity-constraints","display_name":"connectivity constraints","score":0.9470000267028809},{"id":"https://openalex.org/keywords/edge-connectivity","display_name":"edge connectivity","score":0.9959999918937683},{"id":"https://openalex.org/keywords/graph-mining","display_name":"graph mining","score":0.6610000133514404},{"id":"https://openalex.org/keywords/pattern-growth","display_name":"pattern growth","score":0.6819999814033508},{"id":"https://openalex.org/keywords/pattern-reduction","display_name":"pattern reduction","score":0.9819999933242798},{"id":"https://openalex.org/keywords/biological-networks","display_name":"biological networks","score":0.781000018119812},{"id":"https://openalex.org/keywords/social-networks","display_name":"social networks","score":0.8939999938011169}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7087540030479431},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4866071939468384},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46958962082862854},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.465471476316452},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4645179808139801},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4286733865737915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2570919990539551},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15382233262062073},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07810622453689575}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/1081870.1081908","doi":"https://doi.org/10.1145/1081870.1081908","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1081870.1081908","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.576.2353","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.576.2353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ucsb.edu/~xyan/papers/kdd05_connectivity.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.65.1526","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.65.1526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://csdl.computer.org/comp/proceedings/icde/2005/2285/00/22850357.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.78.5995","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.78.5995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.uiuc.edu/~hanj/pdf/icde05_conngraph.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.92.5782","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.92.5782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.uiuc.edu/~hanj/pdf/kdd05_maxConnect.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W4909282","https://openalex.org/W1479863711","https://openalex.org/W1591865191","https://openalex.org/W1641749581","https://openalex.org/W1984374364","https://openalex.org/W1992452843","https://openalex.org/W2032591091","https://openalex.org/W2057463094","https://openalex.org/W2080632942","https://openalex.org/W2108150886","https://openalex.org/W2108560469","https://openalex.org/W2110034858","https://openalex.org/W2118843309","https://openalex.org/W2119148238","https://openalex.org/W2121947440","https://openalex.org/W2130426318","https://openalex.org/W2131374321","https://openalex.org/W2132603077","https://openalex.org/W2135187880","https://openalex.org/W2136593687","https://openalex.org/W2150926065","https://openalex.org/W2152495216","https://openalex.org/W2153301229","https://openalex.org/W2162034534","https://openalex.org/W2170726034","https://openalex.org/W3141776272","https://openalex.org/W4285719527","https://openalex.org/W6628682275"],"related_works":["https://openalex.org/W2052899165","https://openalex.org/W2008562718","https://openalex.org/W1495971547","https://openalex.org/W2067604523","https://openalex.org/W2602089430","https://openalex.org/W2532801570","https://openalex.org/W4385627933","https://openalex.org/W2480127678","https://openalex.org/W2806270048","https://openalex.org/W4310605282"],"abstract_inverted_index":{"Relational":[0],"graphs":[1,43,50],"are":[2,83],"widely":[3],"used":[4],"in":[5,25,47,104],"modeling":[6],"large":[7],"scale":[8],"networks":[9,13],"such":[10],"as":[11],"biological":[12,105],"and":[14,30,58,68,94,107],"social":[15],"networks.":[16],"In":[17,32],"this":[18,33],"kind":[19],"of":[20,39,65],"graph,":[21],"connectivity":[22,45,67],"becomes":[23],"critical":[24],"identifying":[26],"highly":[27],"associated":[28],"groups":[29],"clusters.":[31],"paper,":[34],"we":[35],"investigate":[36],"the":[37,63,70,78,109],"issues":[38],"mining":[40,79,88],"closed":[41],"frequent":[42],"with":[44],"constraints":[46],"massive":[48],"relational":[49],"where":[51],"each":[52],"graph":[53,73],"has":[54],"around":[55],"10K":[56],"nodes":[57],"1M":[59],"edges.":[60],"We":[61,99],"adopt":[62],"concept":[64],"edge":[66],"apply":[69],"results":[71],"from":[72],"theory,":[74],"to":[75,85],"speed":[76],"up":[77],"process.":[80],"Two":[81],"approaches":[82],"developed":[84],"handle":[86],"different":[87],"requests:":[89],"CloseCut,":[90],"a":[91,96],"pattern-growth":[92],"approach,":[93],"splat,":[95],"pattern-reduction":[97],"approach.":[98],"have":[100],"applied":[101],"these":[102],"methods":[103],"datasets":[106],"found":[108],"discovered":[110],"patterns":[111],"interesting.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":8}],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2025-10-10T00:00:00"}