{"id":"https://openalex.org/W2015921206","doi":"https://doi.org/10.1145/1281192.1281236","title":"Correlation search in graph databases","display_name":"Correlation search in graph databases","publication_year":2007,"publication_date":"2007-08-12","ids":{"openalex":"https://openalex.org/W2015921206","doi":"https://doi.org/10.1145/1281192.1281236","mag":"2015921206"},"language":"en","primary_location":{"id":"doi:10.1145/1281192.1281236","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1281192.1281236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th 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/A5074491217","display_name":"Yiping Ke","orcid":"https://orcid.org/0000-0001-9473-3202"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yiping Ke","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016082884","display_name":"James Cheng","orcid":"https://orcid.org/0000-0001-6313-6288"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"James Cheng","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067034635","display_name":"Wilfred Ng","orcid":"https://orcid.org/0000-0001-6639-0521"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wilfred Ng","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074491217"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":19.7814,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.99099402,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"390","last_page":"399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9983000159263611,"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/T11106","display_name":"Data Management and Algorithms","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.636481761932373},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.6217789053916931},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6194076538085938},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5928298234939575},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5870620608329773},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.45685651898384094},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4429687559604645},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4400356709957123},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3782094717025757},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24705612659454346},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18931812047958374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1820601224899292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636481761932373},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.6217789053916931},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6194076538085938},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5928298234939575},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5870620608329773},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.45685651898384094},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4429687559604645},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4400356709957123},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3782094717025757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24705612659454346},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18931812047958374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1820601224899292},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1281192.1281236","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1281192.1281236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-39902","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-39902","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W4909282","https://openalex.org/W1533168323","https://openalex.org/W1641749581","https://openalex.org/W1970259423","https://openalex.org/W1975068437","https://openalex.org/W1994190629","https://openalex.org/W2027943354","https://openalex.org/W2033977659","https://openalex.org/W2036265926","https://openalex.org/W2063049279","https://openalex.org/W2066277072","https://openalex.org/W2096725584","https://openalex.org/W2100080493","https://openalex.org/W2100417212","https://openalex.org/W2106637822","https://openalex.org/W2117211970","https://openalex.org/W2119370347","https://openalex.org/W2130479394","https://openalex.org/W2136593687","https://openalex.org/W2159482845","https://openalex.org/W2166785535","https://openalex.org/W2167101903","https://openalex.org/W2168924255","https://openalex.org/W2170726034","https://openalex.org/W2210278139","https://openalex.org/W2800559265","https://openalex.org/W4294216483"],"related_works":["https://openalex.org/W2372194214","https://openalex.org/W3081640970","https://openalex.org/W4200439127","https://openalex.org/W2021013714","https://openalex.org/W2412250669","https://openalex.org/W2359856669","https://openalex.org/W1488551807","https://openalex.org/W2023979854","https://openalex.org/W2560331580","https://openalex.org/W4253009869"],"abstract_inverted_index":{"Correlation":[0],"mining":[1,25,57,201],"has":[2],"gained":[3],"great":[4],"success":[5],"in":[6,39,44,96,124,200],"many":[7],"application":[8],"domains":[9],"for":[10],"its":[11],"ability":[12],"to":[13,75,148,173],"capture":[14],"the":[15,21,33,79,85,97,103,118,125,159,170,176,183,195],"underlying":[16],"dependency":[17],"between":[18],"objects.":[19],"However,":[20,84],"research":[22],"of":[23,55,82,93,105,121,154,185,197],"correlation":[24,56,69,73],"from":[26,58,203],"graph":[27,36,59,95],"databases":[28],"is":[29,99,107],"still":[30],"lacking":[31],"despite":[32],"fact":[34],"that":[35,135],"data,":[37],"especially":[38],"various":[40],"scientific":[41],"domains,":[42],"proliferate":[43],"recent":[45],"years.":[46],"In":[47],"this":[48,128],"paper,":[49],"we":[50,130,145,161],"propose":[51],"a":[52,72,94,100,122,138,150],"new":[53],"problem":[54,86],"databases,":[60],"called":[61],"Correlated":[62],"Graph":[63],"Search":[64],"(CGS).":[65],"CGS":[66],"adopts":[67],"Pearson's":[68],"coefficient":[70],"as":[71],"measure":[74],"take":[76],"into":[77],"consideration":[78],"occurrence":[80,119],"distributions":[81],"graphs.":[83],"poses":[87],"significant":[88],"challenges,":[89],"since":[90],"every":[91],"subgraph":[92],"database":[98,142],"candidate":[101,123,171,189],"but":[102],"number":[104],"subgraphs":[106],"exponential.":[108],"We":[109],"derive":[110],"two":[111],"necessary":[112],"conditions":[113],"which":[114],"set":[115,153,172],"bounds":[116],"on":[117,137,169,188],"probability":[120],"database.":[126],"With":[127],"result,":[129],"design":[131],"an":[132],"efficient":[133],"algorithm":[134,199],"operates":[136],"much":[139],"smaller":[140,152],"projected":[141],"and":[143,166,206],"thus":[144],"are":[146],"able":[147],"obtain":[149],"significantly":[151],"candidates.":[155],"To":[156],"further":[157,174],"improve":[158],"efficiency,":[160],"develop":[162],"three":[163],"heuristic":[164],"rules":[165],"apply":[167],"them":[168],"reduce":[175],"search":[177],"space.":[178],"Our":[179],"extensive":[180],"experiments":[181],"demonstrate":[182],"effectiveness":[184],"our":[186,198],"method":[187],"reduction.":[190],"The":[191],"results":[192],"also":[193],"justify":[194],"efficiency":[196],"correlations":[202],"large":[204],"real":[205],"synthetic":[207],"datasets.":[208]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
