{"id":"https://openalex.org/W1977368361","doi":"https://doi.org/10.1007/s10618-008-0108-z","title":"Mining conjunctive sequential patterns","display_name":"Mining conjunctive sequential patterns","publication_year":2008,"publication_date":"2008-07-09","ids":{"openalex":"https://openalex.org/W1977368361","doi":"https://doi.org/10.1007/s10618-008-0108-z","mag":"1977368361"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-008-0108-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-008-0108-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-008-0108-z.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10618-008-0108-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066869710","display_name":"Chedy Ra\u00efssi","orcid":"https://orcid.org/0000-0002-6100-7519"},"institutions":[{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4405261681"]},{"id":"https://openalex.org/I4210127738","display_name":"IMT Mines Al\u00e8s","ror":"https://ror.org/03e8rf594","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127738"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Chedy Ra\u00efssi","raw_affiliation_strings":["LGI2P, Ecole des Mines d\u2019Al\u00e8s, Nimes, France","LIRMM, University of Montpellier, Montpellier, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LGI2P, Ecole des Mines d\u2019Al\u00e8s, Nimes, France","institution_ids":["https://openalex.org/I4210127738"]},{"raw_affiliation_string":"LIRMM, University of Montpellier, Montpellier, France","institution_ids":["https://openalex.org/I19894307","https://openalex.org/I4210101743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073211270","display_name":"Toon Calders","orcid":"https://orcid.org/0000-0002-4943-6978"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Toon Calders","raw_affiliation_strings":["Eindhoven University of Technology, Eindhoven, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013533653","display_name":"Pascal Poncelet","orcid":"https://orcid.org/0000-0002-8277-3490"},"institutions":[{"id":"https://openalex.org/I4210127738","display_name":"IMT Mines Al\u00e8s","ror":"https://ror.org/03e8rf594","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127738"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pascal Poncelet","raw_affiliation_strings":["LGI2P, Ecole des Mines d\u2019Al\u00e8s, Nimes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LGI2P, Ecole des Mines d\u2019Al\u00e8s, Nimes, France","institution_ids":["https://openalex.org/I4210127738"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073211270"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":9.3129,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.97388297,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":"1","first_page":"77","last_page":"93"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":1.0,"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":1.0,"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":0.9900000095367432,"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/T11106","display_name":"Data Management and Algorithms","score":0.9616000056266785,"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/association-rule-learning","display_name":"Association rule learning","score":0.7079888582229614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.635913610458374},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.595431923866272},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.570425271987915},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.5684593319892883},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.5266682505607605},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.43873330950737},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41971367597579956},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41786155104637146},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38051456212997437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3349934220314026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27331843972206116},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.11771145462989807}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7079888582229614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.635913610458374},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.595431923866272},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.570425271987915},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.5684593319892883},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.5266682505607605},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.43873330950737},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41971367597579956},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41786155104637146},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38051456212997437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3349934220314026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27331843972206116},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.11771145462989807},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":8,"locations":[{"id":"doi:10.1007/s10618-008-0108-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-008-0108-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-008-0108-z.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},{"id":"pmh:oai:pure.tue.nl:publications/d32ebc6d-738f-4340-82b0-f6f709862ce3","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/d32ebc6d-738f-4340-82b0-f6f709862ce3","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ra\u00efssi, C, Calders, T G K & Poncelet, P 2008, 'Mining conjunctive sequential patterns', Data Mining and Knowledge Discovery, vol. 17, no. 1, pp. 77-93. https://doi.org/10.1007/s10618-008-0108-z","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:649691","is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=649691","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN:1384-5810","raw_type":"Article / Letter to the editor"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.299.1291","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.1291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.lirmm.fr/~poncelet/publications/papers/RAISSIDAMI08.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:lirmm-00345401v1","is_oa":false,"landing_page_url":"https://hal-lirmm.ccsd.cnrs.fr/lirmm-00345401","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Mining and Knowledge Discovery, 2008, 17 (1), pp.77-93. &#x27E8;10.1007/s10618-008-0108-z&#x27E9;","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:dipot.ulb.ac.be:2013/154235","is_oa":false,"landing_page_url":"http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/154235","pdf_url":null,"source":{"id":"https://openalex.org/S4306401063","display_name":"D\u00e9p\u00f4t institutionnel de l'Universit\u00e9 libre de Bruxelles (Universit\u00e9 Libre de Bruxelles)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I132053463","host_organization_name":"Universit\u00e9 Libre de Bruxelles","host_organization_lineage":["https://openalex.org/I132053463"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Mining and Knowledge Discovery, 17 (1","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:library.tue.nl:649691","is_oa":false,"landing_page_url":"http://repository.tue.nl/649691","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN:1384-5810","raw_type":"Article / Letter to the editor"},{"id":"pmh:tue:oai:pure.tue.nl:publications/d32ebc6d-738f-4340-82b0-f6f709862ce3","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/d32ebc6d-738f-4340-82b0-f6f709862ce3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Mining and Knowledge Discovery, 17(1), 77 - 93. Springer Open","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10618-008-0108-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-008-0108-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-008-0108-z.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1977368361.pdf","grobid_xml":"https://content.openalex.org/works/W1977368361.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1492469144","https://openalex.org/W1570748171","https://openalex.org/W1592261758","https://openalex.org/W1608194207","https://openalex.org/W1641039719","https://openalex.org/W1676985236","https://openalex.org/W2026797055","https://openalex.org/W2068383400","https://openalex.org/W2099019567","https://openalex.org/W2107587857","https://openalex.org/W2127034059","https://openalex.org/W2153818052","https://openalex.org/W2158454296","https://openalex.org/W2161033190","https://openalex.org/W2171479472","https://openalex.org/W4233185505","https://openalex.org/W4254829975"],"related_works":["https://openalex.org/W2751920613","https://openalex.org/W2415164632","https://openalex.org/W2238349241","https://openalex.org/W2355668701","https://openalex.org/W2370453500","https://openalex.org/W3012205960","https://openalex.org/W2079402849","https://openalex.org/W2359717995","https://openalex.org/W1561334777","https://openalex.org/W1986811679"],"abstract_inverted_index":{"In":[0],"this":[1,56],"paper":[2],"we":[3,39,78],"aim":[4],"at":[5],"extending":[6],"the":[7,27,32,44,83,90,125,138,162,171],"non-derivable":[8,87,101],"condensed":[9],"representation":[10],"in":[11,26,109],"frequent":[12,30],"itemset":[13,88],"mining":[14,45,110,142],"to":[15,43,81,89,99,164],"sequential":[16,76,103,166],"pattern":[17],"mining.":[18],"We":[19,93],"start":[20],"by":[21],"showing":[22],"a":[23,67,86,95,120,149],"negative":[24],"example:":[25],"context":[28],"of":[29,34,46,48,51,53,58,72,85,140],"sequences,":[31],"notion":[33,84],"non-derivability":[35],"is":[36,117],"meaningless.":[37],"Therefore,":[38],"extend":[40,82],"our":[41,141],"focus":[42],"conjunctions":[47],"sequences.":[49,114],"Besides":[50],"being":[52],"practical":[54],"importance,":[55],"class":[57],"patterns":[59,104,147],"has":[60],"some":[61],"nice":[62],"theoretical":[63,70],"properties.":[64],"Based":[65],"on":[66,119],"new":[68,96,145],"unexploited":[69],"definition":[71],"equivalence":[73],"classes":[74],"for":[75,113,151,155],"patterns,":[77],"are":[79],"able":[80],"sequence":[91],"domain.":[92],"present":[94],"depth-first":[97],"approach":[98,116],"mine":[100],"conjunctive":[102],"and":[105,134,158],"show":[106],"its":[107],"use":[108],"association":[111,167],"rules":[112,168],"This":[115],"based":[118],"well":[121],"known":[122],"combinatorial":[123],"theorem:":[124],"M\u00f6bius":[126],"inversion.":[127],"A":[128],"performance":[129],"study":[130],"using":[131],"both":[132],"synthetic":[133],"real":[135],"datasets":[136],"illustrates":[137],"efficiency":[139],"algorithm.":[143],"These":[144],"introduced":[146],"have":[148],"high-potential":[150],"real-life":[152],"applications,":[153],"especially":[154],"network":[156],"monitoring":[157],"biomedical":[159],"fields":[160],"with":[161,169],"ability":[163],"get":[165],"all":[170],"classical":[172],"statistical":[173],"metrics":[174],"such":[175],"as":[176],"confidence,":[177],"conviction,":[178],"lift":[179],"etc.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
