{"id":"https://openalex.org/W2069834788","doi":"https://doi.org/10.1145/1141277.1141413","title":"Mining sequences with temporal annotations","display_name":"Mining sequences with temporal annotations","publication_year":2006,"publication_date":"2006-04-23","ids":{"openalex":"https://openalex.org/W2069834788","doi":"https://doi.org/10.1145/1141277.1141413","mag":"2069834788"},"language":"en","primary_location":{"id":"doi:10.1145/1141277.1141413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1141277.1141413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 ACM symposium on Applied computing","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/A5024505700","display_name":"Fosca Giannotti","orcid":"https://orcid.org/0000-0003-3099-3835"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Fosca Giannotti","raw_affiliation_strings":["ISTI - CNR, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"ISTI - CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009248582","display_name":"Mirco Nanni","orcid":"https://orcid.org/0000-0003-3534-4332"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mirco Nanni","raw_affiliation_strings":["ISTI - CNR, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"ISTI - CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044898565","display_name":"Dino Pedreschi","orcid":"https://orcid.org/0000-0003-4801-3225"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dino Pedreschi","raw_affiliation_strings":["Univ. of Pisa, Pisa, Italy","University of Pisa, Pisa, Italy ("],"affiliations":[{"raw_affiliation_string":"Univ. of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"University of Pisa, Pisa, Italy (","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036237095","display_name":"Fabio Pinelli","orcid":"https://orcid.org/0000-0003-1058-6917"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Pinelli","raw_affiliation_strings":["Univ. of Pisa, Pisa, Italy","University of Pisa, Pisa, Italy ("],"affiliations":[{"raw_affiliation_string":"Univ. of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"University of Pisa, Pisa, Italy (","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024505700"],"corresponding_institution_ids":["https://openalex.org/I122991210"],"apc_list":null,"apc_paid":null,"fwci":12.9097,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.98165153,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"593","last_page":"597"},"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":0.9537000060081482,"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":0.9121000170707703,"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/computer-science","display_name":"Computer science","score":0.7874031066894531},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.7122991681098938},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6527231931686401},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.626266598701477},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.594641387462616},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5793423056602478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4271785020828247},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.41035979986190796}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7874031066894531},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.7122991681098938},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6527231931686401},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.626266598701477},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.594641387462616},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5793423056602478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4271785020828247},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.41035979986190796},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1141277.1141413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1141277.1141413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 ACM symposium on Applied computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.95.6067","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.95.6067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ercolino.isti.cnr.it/mirco/papers/MiSTA0.1-SAC06.pdf","raw_type":"text"},{"id":"pmh:oai:arpi.unipi.it:11568/105483","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/105483","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W79749824","https://openalex.org/W1584003909","https://openalex.org/W1588585567","https://openalex.org/W1641039719","https://openalex.org/W1660133578","https://openalex.org/W2033112526","https://openalex.org/W2136197452","https://openalex.org/W2756666283"],"related_works":["https://openalex.org/W2075768550","https://openalex.org/W3022218857","https://openalex.org/W2369178846","https://openalex.org/W2082716031","https://openalex.org/W2370289839","https://openalex.org/W2933494595","https://openalex.org/W1568049691","https://openalex.org/W3144842310","https://openalex.org/W2206006039","https://openalex.org/W2136066520"],"abstract_inverted_index":{"In":[0],"this":[1,58],"paper":[2],"we":[3,36],"propose":[4],"an":[5],"extension":[6],"of":[7,50,69],"the":[8,32,42,48,70],"sequence":[9],"mining":[10,44,53],"paradigm":[11],"to":[12],"(temporally-)annotated":[13],"sequential":[14,21,51],"patterns,":[15],"where":[16],"each":[17],"transition":[18,28],"in":[19],"a":[20,26,38],"pattern":[22,52],"is":[23],"annotated":[24],"with":[25],"typical":[27],"time":[29],"derived":[30],"from":[31],"source":[33],"data.":[34],"Then,":[35],"present":[37],"basic":[39],"solution":[40,59],"for":[41],"novel":[43],"problem":[45],"based":[46],"on":[47,60],"combination":[49],"and":[54,56],"clustering,":[55],"assess":[57],"two":[61],"realistic":[62],"datasets,":[63],"illustrating":[64],"how":[65],"potentially":[66],"useful":[67],"patterns":[68],"new":[71],"form":[72],"are":[73],"extracted.":[74]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}