{"id":"https://openalex.org/W4403582690","doi":"https://doi.org/10.1145/3627673.3679525","title":"Mining Path Association Rules in Large Property Graphs","display_name":"Mining Path Association Rules in Large Property Graphs","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403582690","doi":"https://doi.org/10.1145/3627673.3679525"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://curis.ku.dk/ws/files/445691902/Mining_Path_Association_Rules.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041703913","display_name":"Yuya Sasaki","orcid":"https://orcid.org/0000-0002-8548-3181"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuya Sasaki","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103092057","display_name":"Panagiotis Karras","orcid":"https://orcid.org/0000-0003-0509-9129"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Panagiotis Karras","raw_affiliation_strings":["University of Copenhagen, Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041703913"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":3.0537,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.93025752,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1994","last_page":"2003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9937000274658203,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9932000041007996,"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/association-rule-learning","display_name":"Association rule learning","score":0.7519366145133972},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.6731041669845581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5877413749694824},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5481893420219421},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5188442468643188},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4076739549636841},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3716716766357422},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1340838074684143},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0732811987400055},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.05938088893890381}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7519366145133972},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.6731041669845581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5877413749694824},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5481893420219421},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5188442468643188},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4076739549636841},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3716716766357422},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1340838074684143},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0732811987400055},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.05938088893890381},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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:10.1145/3627673.3679525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/73bb5785-4896-4d84-abfa-5dc3816b27af","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/73bb5785-4896-4d84-abfa-5dc3816b27af","pdf_url":"https://curis.ku.dk/ws/files/445691902/Mining_Path_Association_Rules.pdf","source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sasaki , Y & Karras , P 2024 , Mining Path Association Rules in Large Property Graphs . in CIKM 2024 - Proceedings of the 33rd ACM International Conference on Information and Knowledge Management . Association for Computing Machinery , pp. 1994-2003 , 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024 , Boise , United States , 21/10/2024 . https://doi.org/10.1145/3627673.3679525","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/73bb5785-4896-4d84-abfa-5dc3816b27af","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/73bb5785-4896-4d84-abfa-5dc3816b27af","pdf_url":"https://curis.ku.dk/ws/files/445691902/Mining_Path_Association_Rules.pdf","source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sasaki , Y & Karras , P 2024 , Mining Path Association Rules in Large Property Graphs . in CIKM 2024 - Proceedings of the 33rd ACM International Conference on Information and Knowledge Management . Association for Computing Machinery , pp. 1994-2003 , 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024 , Boise , United States , 21/10/2024 . https://doi.org/10.1145/3627673.3679525","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1524830848","display_name":null,"funder_award_id":"JPMJPR21C5","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G4611969921","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G4864544293","display_name":null,"funder_award_id":"Japan","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G7485138276","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G8846883269","display_name":null,"funder_award_id":"JPMJAP2328","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"}],"funders":[{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403582690.pdf","grobid_xml":"https://content.openalex.org/works/W4403582690.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1509210027","https://openalex.org/W1510837191","https://openalex.org/W1512387364","https://openalex.org/W1641749581","https://openalex.org/W1942786204","https://openalex.org/W1968192055","https://openalex.org/W1981271696","https://openalex.org/W1981862454","https://openalex.org/W1990142825","https://openalex.org/W2028260614","https://openalex.org/W2056482097","https://openalex.org/W2101556484","https://openalex.org/W2122255072","https://openalex.org/W2126519339","https://openalex.org/W2135134185","https://openalex.org/W2138117958","https://openalex.org/W2147689624","https://openalex.org/W2151502664","https://openalex.org/W2153301229","https://openalex.org/W2154847327","https://openalex.org/W2158454296","https://openalex.org/W2170726034","https://openalex.org/W2241555812","https://openalex.org/W2248778938","https://openalex.org/W2394309960","https://openalex.org/W2437494956","https://openalex.org/W2474038722","https://openalex.org/W2545740386","https://openalex.org/W2613522499","https://openalex.org/W2789231953","https://openalex.org/W2930858721","https://openalex.org/W2948359422","https://openalex.org/W2965505261","https://openalex.org/W2972079061","https://openalex.org/W2998574808","https://openalex.org/W3030509102","https://openalex.org/W3037419610","https://openalex.org/W3041128325","https://openalex.org/W3103825091","https://openalex.org/W3196747654","https://openalex.org/W3197577761","https://openalex.org/W4211032081","https://openalex.org/W4281879035","https://openalex.org/W4283329289","https://openalex.org/W4287455910","https://openalex.org/W4386123447","https://openalex.org/W4403582690"],"related_works":["https://openalex.org/W2415164632","https://openalex.org/W2751920613","https://openalex.org/W2238349241","https://openalex.org/W2355668701","https://openalex.org/W2370453500","https://openalex.org/W2079402849","https://openalex.org/W1561334777","https://openalex.org/W3012205960","https://openalex.org/W2392697706","https://openalex.org/W366033468"],"abstract_inverted_index":{"How":[0],"can":[1],"we":[2,53,114],"mine":[3],"frequent":[4],"path":[5,44,58,67,81,124,139],"regularities":[6],"from":[7],"a":[8,72],"graph":[9,133],"with":[10,91],"edge":[11,88],"labels":[12],"and":[13,29,87,98,118,142],"vertex":[14,85],"attributes?":[15],"The":[16],"task":[17],"of":[18,57,138,145],"association":[19,59,125,140],"rule":[20,60,126],"mining":[21,61],"successfully":[22],"discovers":[23,76],"regular":[24,77],"patterns":[25,45],"in":[26,46,79],"item":[27],"sets":[28],"substructures.":[30],"Still,":[31],"to":[32,43,64,107,121],"our":[33,146],"best":[34],"knowledge,":[35],"this":[36,51],"concept":[37],"has":[38],"not":[39],"yet":[40],"been":[41],"extended":[42],"large":[47,73],"property":[48,106],"graphs.":[49],"In":[50],"paper,":[52],"introduce":[54],"the":[55,110,136,143],"problem":[56],"(PARM).":[62],"Applied":[63],"any":[65],"reachability":[66],"between":[68],"two":[69],"vertices":[70],"within":[71],"graph,":[74],"PARM":[75],"ways":[78],"which":[80],"patterns,":[82],"identified":[83],"by":[84],"attributes":[86],"labels,":[89],"co-occur":[90],"each":[92],"other.":[93],"We":[94],"develop":[95],"an":[96,104],"efficient":[97],"scalable":[99,123],"algorithm":[100],"PIONEER":[101],"that":[102],"exploits":[103],"anti-monotonicity":[105],"effectively":[108],"prune":[109],"search":[111],"space.":[112],"Further,":[113],"devise":[115],"approximation":[116],"techniques":[117],"employ":[119],"parallelization":[120],"achieve":[122],"mining.":[127],"Our":[128],"experimental":[129],"study":[130],"using":[131],"real-world":[132],"data":[134],"verifies":[135],"significance":[137],"rules":[141],"efficiency":[144],"solutions.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}