{"id":"https://openalex.org/W4317791983","doi":"https://doi.org/10.1109/ism55400.2022.00044","title":"On Selection of Efficient Sequential Pattern Mining Algorithm Based on Characteristics of Data","display_name":"On Selection of Efficient Sequential Pattern Mining Algorithm Based on Characteristics of Data","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4317791983","doi":"https://doi.org/10.1109/ism55400.2022.00044"},"language":"en","primary_location":{"id":"doi:10.1109/ism55400.2022.00044","doi":"https://doi.org/10.1109/ism55400.2022.00044","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ism55400.2022.00044","pdf_url":null,"source":{"id":"https://openalex.org/S7407087347","display_name":"IEEE International Symposium on Multimedia (ISM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Multimedia (ISM)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5007918163","display_name":"Jakub Peschel","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I21449261","display_name":"Masaryk University","ror":"https://ror.org/02j46qs45","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21449261"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Jakub Peschel","raw_affiliation_strings":["Masaryk University,Faculty of Informatics,Brno,Czechia","Faculty of Informatics, Masaryk University, Brno, Czechia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Masaryk University,Faculty of Informatics,Brno,Czechia","institution_ids":["https://openalex.org/I21449261"]},{"raw_affiliation_string":"Faculty of Informatics, Masaryk University, Brno, Czechia","institution_ids":["https://openalex.org/I21449261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032207299","display_name":"Michal Batko","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I21449261","display_name":"Masaryk University","ror":"https://ror.org/02j46qs45","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21449261"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Michal Batko","raw_affiliation_strings":["Masaryk University,Faculty of Informatics,Brno,Czechia","Faculty of Informatics, Masaryk University, Brno, Czechia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Masaryk University,Faculty of Informatics,Brno,Czechia","institution_ids":["https://openalex.org/I21449261"]},{"raw_affiliation_string":"Faculty of Informatics, Masaryk University, Brno, Czechia","institution_ids":["https://openalex.org/I21449261"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035118942","display_name":"Pavel Zezula","orcid":"https://orcid.org/0000-0001-5438-6760","observed_orcids":["https://orcid.org/0000-0001-5438-6760"]},"institutions":[{"id":"https://openalex.org/I21449261","display_name":"Masaryk University","ror":"https://ror.org/02j46qs45","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21449261"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Pavel Zezula","raw_affiliation_strings":["Masaryk University,Faculty of Informatics,Brno,Czechia","Faculty of Informatics, Masaryk University, Brno, Czechia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Masaryk University,Faculty of Informatics,Brno,Czechia","institution_ids":["https://openalex.org/I21449261"]},{"raw_affiliation_string":"Faculty of Informatics, Masaryk University, Brno, Czechia","institution_ids":["https://openalex.org/I21449261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21449261"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"202","last_page":"205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":9.999999747378752e-05,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"sequential pattern mining","score":1.0},{"id":"https://openalex.org/keywords/algorithm-selection","display_name":"algorithm selection","score":0.9900000095367432},{"id":"https://openalex.org/keywords/data-characteristics","display_name":"data characteristics","score":0.8320000171661377},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.5460000038146973},{"id":"https://openalex.org/keywords/search-time-reduction","display_name":"search time reduction","score":0.6480000019073486},{"id":"https://openalex.org/keywords/algorithm-comparison","display_name":"algorithm comparison","score":0.49300000071525574},{"id":"https://openalex.org/keywords/sequential-data-analysis","display_name":"sequential data analysis","score":0.492000013589859}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8005887269973755},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7160693407058716},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.636110782623291},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5638954043388367},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5193463563919067},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.5050967335700989},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4453224539756775},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40667951107025146},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4058256149291992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38897496461868286},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0718151330947876},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ism55400.2022.00044","doi":"https://doi.org/10.1109/ism55400.2022.00044","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ism55400.2022.00044","pdf_url":null,"source":{"id":"https://openalex.org/S7407087347","display_name":"IEEE International Symposium on Multimedia (ISM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Multimedia (ISM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W94191208","https://openalex.org/W1641039719","https://openalex.org/W2068383400","https://openalex.org/W2095924956","https://openalex.org/W2101234009","https://openalex.org/W2125055259","https://openalex.org/W2126046032","https://openalex.org/W2147694185","https://openalex.org/W2149706766","https://openalex.org/W2158454296","https://openalex.org/W3083378409","https://openalex.org/W3130153679","https://openalex.org/W4288474166","https://openalex.org/W4297957988"],"related_works":["https://openalex.org/W2368379544","https://openalex.org/W1737215496","https://openalex.org/W2360057024","https://openalex.org/W2122446423","https://openalex.org/W2788331537","https://openalex.org/W4286459798","https://openalex.org/W2352888854","https://openalex.org/W2329873145","https://openalex.org/W2138513411","https://openalex.org/W1582362601"],"abstract_inverted_index":{"Sequential":[0],"pattern":[1,88],"mining,":[2,12],"which":[3],"is":[4,26,94],"one":[5],"of":[6,40,46,50,59,75,81,101,119],"the":[7,24,44,48,54,60,73,82,102,107,121],"core":[8],"tasks":[9],"in":[10],"data":[11,126],"allows":[13],"to":[14,86,96,99,106],"gain":[15],"insight":[16],"into":[17],"datasets":[18],"with":[19,116],"complex":[20],"sequential":[21,87],"data.":[22,41,62],"As":[23],"task":[25],"computationally":[27],"intensive,":[28],"there":[29],"are":[30,35,79],"many":[31],"different":[32],"approaches":[33,85],"that":[34,78,92],"suitable":[36],"for":[37,124],"various":[38],"types":[39],"We":[42,90,110],"explore":[43,72],"possibility":[45],"optimising":[47],"analysis":[49],"sequences":[51],"based":[52,127],"on":[53,128],"characteristic":[55],"(quickly":[56],"obtainable)":[57],"properties":[58],"analysed":[61],"In":[63],"this":[64],"paper,":[65],"we":[66],"propose":[67],"five":[68],"such":[69],"characteristics":[70],"and":[71],"efficiency":[74],"three":[76,83],"algorithms":[77],"representatives":[80],"main":[84],"mining.":[89],"discovered":[91],"it":[93],"possible":[95],"save":[97],"up":[98],"21%":[100],"search":[103],"time":[104],"compared":[105],"best-performing":[108],"representative.":[109],"trained":[111],"a":[112],"decision":[113],"tree":[114],"model":[115],"87%":[117],"accuracy":[118],"choosing":[120],"best":[122],"algorithm":[123],"selected":[125],"these":[129],"characteristics.":[130]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2023-01-24T00:00:00"}
