{"id":"https://openalex.org/W2295793083","doi":"https://doi.org/10.3233/978-1-61499-419-0-279","title":"Mining Heterogeneous Multidimensional Sequential Patterns","display_name":"Mining Heterogeneous Multidimensional Sequential Patterns","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2295793083","doi":"https://doi.org/10.3233/978-1-61499-419-0-279","mag":"2295793083"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-419-0-279","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-419-0-279","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":null,"license_id":null,"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":"green","oa_url":"https://inria.hal.science/hal-00979804","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049465018","display_name":"Elias Egho","orcid":"https://orcid.org/0000-0001-5250-4698"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Egho Elias","raw_affiliation_strings":["ORPAILLEUR - Knowledge  representation, reasonning (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ORPAILLEUR - Knowledge  representation, reasonning (France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Raïssi Chedy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raïssi Chedy","raw_affiliation_strings":["ORPAILLEUR - Knowledge  representation, reasonning (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ORPAILLEUR - Knowledge  representation, reasonning (France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010871542","display_name":"Nicolas Jay","orcid":"https://orcid.org/0000-0002-5790-6933"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jay Nicolas","raw_affiliation_strings":["ORPAILLEUR - Knowledge  representation, reasonning (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ORPAILLEUR - Knowledge  representation, reasonning (France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026515643","display_name":"Amedeo Napoli","orcid":"https://orcid.org/0000-0001-5236-9561"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Napoli Amedeo","raw_affiliation_strings":["ORPAILLEUR - Knowledge  representation, reasonning (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ORPAILLEUR - Knowledge  representation, reasonning (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.149,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8871008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11106","display_name":"Data Management and Algorithms","score":0.994700014591217,"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"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.988099992275238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.8505194783210754},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.706119179725647},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6215586066246033},{"id":"https://openalex.org/keywords/multidimensional-data","display_name":"Multidimensional data","score":0.5079904198646545},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4526141285896301},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.43739375472068787},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09765183925628662}],"concepts":[{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.8505194783210754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706119179725647},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6215586066246033},{"id":"https://openalex.org/C3019022308","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional data","level":2,"score":0.5079904198646545},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4526141285896301},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.43739375472068787},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09765183925628662},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3233/978-1-61499-419-0-279","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-419-0-279","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-00979804v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-00979804","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"[Research Report] RR-8521, INRIA. 2014","raw_type":"info:eu-repo/semantics/report"},{"id":"pmh:oai:HAL:hal-01094365v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01094365","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"European Conference on Artificial Intelligence, Aug 2014, Prague, Czech Republic, France. pp.6, ⟨10.3233/978-1-61499-419-0-279⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00979804v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-00979804","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"[Research Report] RR-8521, INRIA. 2014","raw_type":"info:eu-repo/semantics/report"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1550449038","https://openalex.org/W1608194207","https://openalex.org/W1641039719","https://openalex.org/W1676985236","https://openalex.org/W1964815362","https://openalex.org/W1982060711","https://openalex.org/W2035853031","https://openalex.org/W2062533814","https://openalex.org/W2080632942","https://openalex.org/W2111400925","https://openalex.org/W2115330677","https://openalex.org/W2120934516","https://openalex.org/W2144020130","https://openalex.org/W2158454296","https://openalex.org/W2168196587","https://openalex.org/W2295793083","https://openalex.org/W4231069483","https://openalex.org/W4251385966","https://openalex.org/W4254829975"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2975817033","https://openalex.org/W4256502920","https://openalex.org/W2354431794"],"abstract_inverted_index":{"All":[0],"domains":[1],"of":[2,33,55,68,74,76],"science":[3],"and":[4,8,66],"technology":[5],"produce":[6],"large":[7],"heterogeneous":[9,34,48],"data.":[10,37],"Although":[11],"much":[12],"work":[13],"has":[14],"been":[15],"done":[16],"in":[17],"this":[18,39],"area,":[19],"mining":[20,32],"such":[21],"data":[22,82],"is":[23],"still":[24],"a":[25,43],"challenge.":[26],"No":[27],"previous":[28],"research":[29],"targets":[30],"the":[31,64,72,84],"multidimensional":[35,49],"sequential":[36,50],"In":[38],"work,":[40],"we":[41],"present":[42],"new":[44],"approach":[45,70],"to":[46],"extract":[47],"patterns":[51],"with":[52,71],"different":[53],"levels":[54],"granularity":[56],"by":[57],"relying":[58],"on":[59],"external":[60],"taxonomies.":[61],"We":[62],"show":[63],"efficiency":[65],"interest":[67],"our":[69],"analysis":[73],"trajectories":[75],"care":[77],"for":[78],"colorectal":[79],"cancer":[80],"using":[81],"from":[83],"French":[85],"casemix":[86],"information":[87],"system.":[88]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}