{"id":"https://openalex.org/W2809433418","doi":"https://doi.org/10.1109/tvcg.2018.2848247","title":"Exploratory Visual Sequence Mining Based on Pattern-Growth","display_name":"Exploratory Visual Sequence Mining Based on Pattern-Growth","publication_year":2018,"publication_date":"2018-06-18","ids":{"openalex":"https://openalex.org/W2809433418","doi":"https://doi.org/10.1109/tvcg.2018.2848247","mag":"2809433418","pmid":"https://pubmed.ncbi.nlm.nih.gov/29994660"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2018.2848247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2018.2848247","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5061859149","display_name":"Katerina Vrotsou","orcid":"https://orcid.org/0000-0003-4761-8601"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Katerina Vrotsou","raw_affiliation_strings":["Department of Science and Technology, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":"https://orcid.org/0000-0003-4761-8601","affiliations":[{"raw_affiliation_string":"Department of Science and Technology, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058912459","display_name":"Aida Nordman","orcid":"https://orcid.org/0000-0002-9601-5981"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Aida Nordman","raw_affiliation_strings":["Department of Science and Technology, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Science and Technology, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102134673"],"apc_list":null,"apc_paid":null,"fwci":4.9348,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95682126,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"25","issue":"8","first_page":"2597","last_page":"2610"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9990000128746033,"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":0.9990000128746033,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8488442301750183},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7140796184539795},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6086705923080444},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5649544596672058},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5277788639068604},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.521436870098114},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.452439546585083},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4208899140357971},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.41642001271247864},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34912046790122986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33231019973754883}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8488442301750183},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7140796184539795},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6086705923080444},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5649544596672058},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5277788639068604},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.521436870098114},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.452439546585083},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4208899140357971},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.41642001271247864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34912046790122986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33231019973754883},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2018.2848247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2018.2848247","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:29994660","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29994660","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322225","display_name":"Link\u00f6pings Universitet","ror":"https://ror.org/05ynxx418"},{"id":"https://openalex.org/F4320327853","display_name":"Trafikverket","ror":"https://ror.org/000nes056"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1211953102","https://openalex.org/W1641039719","https://openalex.org/W1914475855","https://openalex.org/W1985716338","https://openalex.org/W1988711344","https://openalex.org/W1989505216","https://openalex.org/W2004101042","https://openalex.org/W2010058478","https://openalex.org/W2014577670","https://openalex.org/W2027783651","https://openalex.org/W2044222306","https://openalex.org/W2045012623","https://openalex.org/W2052496634","https://openalex.org/W2054627295","https://openalex.org/W2068383400","https://openalex.org/W2109076134","https://openalex.org/W2113081107","https://openalex.org/W2128938146","https://openalex.org/W2142349824","https://openalex.org/W2146345875","https://openalex.org/W2158454296","https://openalex.org/W2167797188","https://openalex.org/W2168196587","https://openalex.org/W2510476599","https://openalex.org/W2527561266","https://openalex.org/W2750661846","https://openalex.org/W2752648449","https://openalex.org/W3120740533","https://openalex.org/W6636681434"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2070401501","https://openalex.org/W2121496884","https://openalex.org/W2136066520"],"abstract_inverted_index":{"Sequential":[0],"pattern":[1,63,80],"mining":[2,40,54,81,100,133,151],"finds":[3],"applications":[4],"in":[5,82],"numerous":[6],"diverging":[7],"fields.":[8],"Due":[9],"to":[10,60,84,96,105,148,166,175],"the":[11,62,103,107,125,132,146,150,169,173],"problem's":[12],"combinatorial":[13],"nature,":[14],"two":[15,183],"main":[16],"challenges":[17],"arise.":[18],"First,":[19],"existing":[20],"algorithms":[21],"output":[22],"large":[23,41],"numbers":[24],"of":[25,28,43,67,109,127,139,155,159,189,196],"patterns":[26,44,140],"many":[27],"which":[29],"are":[30],"uninteresting":[31],"from":[32],"a":[33,51,86,93,110,117],"user's":[34],"perspective.":[35],"Second,":[36],"as":[37],"datasets":[38],"grow,":[39],"number":[42],"gets":[45],"computationally":[46],"expensive.":[47],"There":[48],"is,":[49],"thus,":[50],"need":[52,174],"for":[53],"approaches":[55],"that":[56,101],"make":[57],"it":[58],"possible":[59],"focus":[61],"search":[64,170],"towards":[65,153],"directions":[66,154],"interest.":[68,156],"This":[69],"work":[70],"tackles":[71],"this":[72],"problem":[73],"by":[74],"combining":[75],"interactive":[76,97],"visualization":[77,138],"with":[78],"sequential":[79],"order":[83],"create":[85],"\"transparent":[87],"box\"":[88],"execution":[89,108],"model.":[90],"We":[91,178],"propose":[92],"novel":[94],"approach":[95,122,181],"visual":[98,119],"sequence":[99,185],"allows":[102,136],"user":[104,147],"guide":[106],"pattern-growth":[111],"algorithm":[112,152],"at":[113],"suitable":[114],"points":[115],"through":[116],"powerful":[118],"interface.":[120],"Our":[121],"(1)":[123],"introduces":[124],"possibility":[126],"using":[128,182],"local":[129,160],"constraints":[130,161],"during":[131],"process,":[134],"(2)":[135],"stepwise":[137],"being":[141],"mined,":[142],"and":[143,193],"(3)":[144],"enables":[145],"steer":[149],"The":[157],"use":[158],"significantly":[162],"improves":[163],"users'":[164],"capability":[165],"progressively":[167],"refine":[168],"space":[171],"without":[172],"restart":[176],"computations.":[177],"exemplify":[179],"our":[180],"event":[184],"datasets;":[186],"one":[187],"composed":[188,195],"web":[190],"page":[191],"visits":[192],"another":[194],"individuals'":[197],"activity":[198],"sequences.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}