{"id":"https://openalex.org/W2018558368","doi":"https://doi.org/10.1145/1871902.1871906","title":"Efficient algorithms based on relational queries to mine frequent graphs","display_name":"Efficient algorithms based on relational queries to mine frequent graphs","publication_year":2010,"publication_date":"2010-10-30","ids":{"openalex":"https://openalex.org/W2018558368","doi":"https://doi.org/10.1145/1871902.1871906","mag":"2018558368"},"language":"en","primary_location":{"id":"doi:10.1145/1871902.1871906","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871902.1871906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd workshop on Ph.D. students in information and knowledge management","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/A5087398776","display_name":"Walter Baluja Garc\u00eda","orcid":"https://orcid.org/0000-0003-3499-4843"},"institutions":[{"id":"https://openalex.org/I16277215","display_name":"University of Houston - Downtown","ror":"https://ror.org/05mj6fy81","country_code":"US","type":"education","lineage":["https://openalex.org/I16277215"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter Garcia","raw_affiliation_strings":["University of Houston - Downtown, Houston, TX, USA","University of Houston-Downtown, Houston, TX, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston - Downtown, Houston, TX, USA","institution_ids":["https://openalex.org/I16277215"]},{"raw_affiliation_string":"University of Houston-Downtown, Houston, TX, USA#TAB#","institution_ids":["https://openalex.org/I16277215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031610238","display_name":"Carlos Ordo\u0144\u1ebdz","orcid":"https://orcid.org/0009-0005-1135-9726"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlos Ordonez","raw_affiliation_strings":["University of Houston, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101934583","display_name":"Kai Zhao","orcid":"https://orcid.org/0000-0002-2441-6532"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai Zhao","raw_affiliation_strings":["University of Houston, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400329","display_name":"Ping Chen","orcid":"https://orcid.org/0000-0003-3789-7686"},"institutions":[{"id":"https://openalex.org/I16277215","display_name":"University of Houston - Downtown","ror":"https://ror.org/05mj6fy81","country_code":"US","type":"education","lineage":["https://openalex.org/I16277215"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ping Chen","raw_affiliation_strings":["University of Houston - Downtown, Houston, TX, USA","University of Houston-Downtown, Houston, TX, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston - Downtown, Houston, TX, USA","institution_ids":["https://openalex.org/I16277215"]},{"raw_affiliation_string":"University of Houston-Downtown, Houston, TX, USA#TAB#","institution_ids":["https://openalex.org/I16277215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8753,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74601624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"24"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/subgraph-isomorphism-problem","display_name":"Subgraph isomorphism problem","score":0.8638067245483398},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.7434678673744202},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7337461113929749},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.5525377988815308},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.5499248504638672},{"id":"https://openalex.org/keywords/induced-subgraph-isomorphism-problem","display_name":"Induced subgraph isomorphism problem","score":0.46305039525032043},{"id":"https://openalex.org/keywords/graph-isomorphism","display_name":"Graph isomorphism","score":0.4606603980064392},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45217564702033997},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45117607712745667},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.4389127194881439},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3987523317337036},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.34667736291885376},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.26381754875183105},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.1414528489112854}],"concepts":[{"id":"https://openalex.org/C131992880","wikidata":"https://www.wikidata.org/wiki/Q2528185","display_name":"Subgraph isomorphism problem","level":3,"score":0.8638067245483398},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.7434678673744202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7337461113929749},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.5525377988815308},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5499248504638672},{"id":"https://openalex.org/C191241153","wikidata":"https://www.wikidata.org/wiki/Q6027240","display_name":"Induced subgraph isomorphism problem","level":5,"score":0.46305039525032043},{"id":"https://openalex.org/C61665672","wikidata":"https://www.wikidata.org/wiki/Q303100","display_name":"Graph isomorphism","level":4,"score":0.4606603980064392},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45217564702033997},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45117607712745667},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.4389127194881439},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3987523317337036},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.34667736291885376},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.26381754875183105},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.1414528489112854},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1871902.1871906","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871902.1871906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd workshop on Ph.D. students in information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1506285740","https://openalex.org/W1641749581","https://openalex.org/W1781484016","https://openalex.org/W1858307147","https://openalex.org/W1874477400","https://openalex.org/W2011039300","https://openalex.org/W2060220453","https://openalex.org/W2090474597","https://openalex.org/W2110632039","https://openalex.org/W2113243831","https://openalex.org/W2124996875","https://openalex.org/W2130183999","https://openalex.org/W2136593687","https://openalex.org/W2164281374","https://openalex.org/W2170726034","https://openalex.org/W3016942139"],"related_works":["https://openalex.org/W1482551403","https://openalex.org/W2954463587","https://openalex.org/W2393701947","https://openalex.org/W2915540008","https://openalex.org/W1965191464","https://openalex.org/W2128390795","https://openalex.org/W2542507283","https://openalex.org/W231720905","https://openalex.org/W84561889","https://openalex.org/W2540418660"],"abstract_inverted_index":{"Frequent":[0],"subgraph":[1,142,146],"mining":[2,9,98],"is":[3,44,79,101],"an":[4],"important":[5],"problem":[6],"in":[7,13,25,99],"data":[8],"with":[10,67],"wide":[11],"application":[12],"science.":[14],"For":[15],"instance,":[16],"graphs":[17],"can":[18],"be":[19,111,120],"used":[20],"to":[21,28,73],"represent":[22],"structural":[23],"relationships":[24],"problems":[26,132],"related":[27],"network":[29],"topology,":[30],"chemical":[31],"compound,":[32],"protein":[33],"structures,":[34],"and":[35,71,116,139,144,153,169],"so":[36],"on.":[37],"Searching":[38],"for":[39],"patterns":[40],"from":[41],"graph":[42,86,97,109,137],"databases":[43,64],"difficult":[45,103],"since":[46],"graph-related":[47],"operations":[48,56],"generally":[49],"have":[50],"higher":[51],"time":[52,170],"complexity":[53],"than":[54,104],"equivalent":[55],"on":[57,85,166],"frequent":[58,96,141],"itemsets.":[59],"From":[60],"a":[61,80,114,134],"practical":[62],"standpoint,":[63],"keep":[65],"growing":[66],"lots":[68],"of":[69,83],"opportunities":[70],"need":[72],"mine":[74],"graphs.":[75],"Even":[76],"though":[77],"there":[78],"significant":[81],"body":[82],"work":[84,90],"mining,":[87],"most":[88],"techniques":[89],"outside":[91],"the":[92,108],"database":[93,135],"system.":[94],"Programming":[95],"SQL":[100],"more":[102],"traditional":[105],"approaches":[106],"because":[107],"must":[110,119],"represented":[112],"as":[113,122],"table":[115],"algorithmic":[117],"steps":[118],"written":[121],"relational":[123],"queries.":[124],"In":[125],"our":[126,154],"research,":[127],"we":[128],"study":[129],"three":[130],"fundamental":[131],"under":[133],"approach:":[136],"storage":[138],"indexing,":[140],"search,":[143],"identifying":[145],"isomorphism.":[147],"We":[148,159],"outline":[149],"main":[150],"research":[151],"issues":[152],"solution":[155],"towards":[156],"solving":[157],"them.":[158],"also":[160],"present":[161],"preliminary":[162],"experimental":[163],"validation":[164],"focusing":[165],"query":[167],"optimizations":[168],"complexity.":[171]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}