{"id":"https://openalex.org/W2394712967","doi":"https://doi.org/10.3233/978-1-61499-419-0-849","title":"Graph abstraction for closed pattern mining in attributed networks","display_name":"Graph abstraction for closed pattern mining in attributed networks","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2394712967","doi":"https://doi.org/10.3233/978-1-61499-419-0-849","mag":"2394712967"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-419-0-849","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-419-0-849","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/978-1-61499-419-0-849","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000152441","display_name":"Henry Soldano","orcid":"https://orcid.org/0000-0001-8505-948X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210091437","display_name":"Sorbonne Paris Cit\u00e9","ror":"https://ror.org/001z21q04","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210091437"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Soldano Henry","raw_affiliation_strings":["Universit\u00e9 Paris, Sorbonne Paris Cite, L.I.P.N UMR-CNRS, Villetaneuse, France#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris, Sorbonne Paris Cite, L.I.P.N UMR-CNRS, Villetaneuse, France#TAB#","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210091437"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075097983","display_name":"Guillaume Santini","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210091437","display_name":"Sorbonne Paris Cit\u00e9","ror":"https://ror.org/001z21q04","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210091437"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Santini Guillaume","raw_affiliation_strings":["Universit\u00e9 Paris, Sorbonne Paris Cite, L.I.P.N UMR-CNRS, Villetaneuse, France#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris, Sorbonne Paris Cite, L.I.P.N UMR-CNRS, Villetaneuse, France#TAB#","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210091437"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.4646,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.97939243,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"849","last_page":"854"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9925000071525574,"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":0.9861000180244446,"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/abstraction","display_name":"Abstraction","score":0.6790639758110046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6505539417266846},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5219204425811768},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3992424011230469},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32352161407470703}],"concepts":[{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.6790639758110046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6505539417266846},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5219204425811768},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3992424011230469},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32352161407470703},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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:10.3233/978-1-61499-419-0-849","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-419-0-849","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"mag:2394712967","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/ecai/ecai2014.html#SoldanoS14","pdf_url":null,"source":{"id":"https://openalex.org/S4306418308","display_name":"European Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"European Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":{"id":"doi:10.3233/978-1-61499-419-0-849","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-419-0-849","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W89628396","https://openalex.org/W604266804","https://openalex.org/W1503729935","https://openalex.org/W1852340955","https://openalex.org/W1973346243","https://openalex.org/W1997309399","https://openalex.org/W2008620264","https://openalex.org/W2010661649","https://openalex.org/W2032982462","https://openalex.org/W2089029687","https://openalex.org/W2108544558","https://openalex.org/W2128743571","https://openalex.org/W2147488737","https://openalex.org/W2153472243","https://openalex.org/W2158470853","https://openalex.org/W2164928285","https://openalex.org/W2281052711"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W4388675521","https://openalex.org/W2108135022","https://openalex.org/W3148810651","https://openalex.org/W2789077243","https://openalex.org/W2898772359"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,16,25,29,37,41,65,72,79],"problem":[3],"of":[4,19,31,43,45,64,91],"finding":[5],"patterns":[6,83],"in":[7,14,27,33,81],"an":[8],"attributed":[9],"graph.":[10],"Our":[11],"approach":[12],"consists":[13],"extending":[15],"standard":[17],"methodology":[18],"frequent":[20],"closed":[21,82],"pattern":[22,38],"mining":[23],"to":[24,58],"case":[26],"which":[28,34],"set":[30,42],"objects,":[32],"are":[35],"found":[36,95],"supports,":[39],"is":[40,56,94],"vertices":[44,66],"a":[46,50],"graph,":[47],"typically":[48],"representing":[49],"social":[51],"network.":[52],"The":[53],"core":[54],"idea":[55],"then":[57],"define":[59],"graph":[60],"abstractions":[61],"as":[62,86,88],"subsets":[63],"satisfying":[67],"some":[68],"connectivity":[69],"property":[70],"within":[71],"corresponding":[73],"induced":[74],"subgraphs.":[75],"Preliminary":[76],"experiments":[77],"illustrate":[78],"reduction":[80],"we":[84],"obtain":[85],"well":[87],"what":[89],"kind":[90],"abstract":[92,97],"knowledge":[93],"via":[96],"implications":[98],"rules.":[99]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2016-06-24T00:00:00"}
