{"id":"https://openalex.org/W7137810616","doi":"https://doi.org/10.1109/access.2026.3674875","title":"Motif Discovery and Classification Using Multi-Feature Chainlets","display_name":"Motif Discovery and Classification Using Multi-Feature Chainlets","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7137810616","doi":"https://doi.org/10.1109/access.2026.3674875"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3674875","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3674875","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3674875","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129739687","display_name":"Vasfi Tataroglu","orcid":null},"institutions":[{"id":"https://openalex.org/I48843708","display_name":"Pamukkale University","ror":"https://ror.org/01etz1309","country_code":"TR","type":"education","lineage":["https://openalex.org/I48843708"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Vasfi Tataroglu","raw_affiliation_strings":["Department of Computer Engineering, Pamukkale University, Denizli, Türkiye"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Pamukkale University, Denizli, Türkiye","institution_ids":["https://openalex.org/I48843708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125033606","display_name":"G\u00fcrhan G\u00fcnd\u00fcz","orcid":null},"institutions":[{"id":"https://openalex.org/I48843708","display_name":"Pamukkale University","ror":"https://ror.org/01etz1309","country_code":"TR","type":"education","lineage":["https://openalex.org/I48843708"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Gurhan Gunduz","raw_affiliation_strings":["Department of Computer Engineering, Pamukkale University, Denizli, Türkiye"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Pamukkale University, Denizli, Türkiye","institution_ids":["https://openalex.org/I48843708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053850546","display_name":"Hasan Bulut","orcid":"https://orcid.org/0000-0002-6924-9651"},"institutions":[{"id":"https://openalex.org/I41641357","display_name":"Ege University","ror":"https://ror.org/02eaafc18","country_code":"TR","type":"education","lineage":["https://openalex.org/I41641357"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hasan Bulut","raw_affiliation_strings":["Department of Computer Engineering, Ege University, İzmir, Türkiye"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ege University, İzmir, Türkiye","institution_ids":["https://openalex.org/I41641357"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5129739687"],"corresponding_institution_ids":["https://openalex.org/I48843708"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79675056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"45338","last_page":"45353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.22630000114440918,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.22630000114440918,"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/T12417","display_name":"Morphological variations and asymmetry","score":0.057100001722574234,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.0494999997317791,"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/motif","display_name":"Motif (music)","score":0.5659999847412109},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3564000129699707},{"id":"https://openalex.org/keywords/sequence-motif","display_name":"Sequence motif","score":0.34139999747276306},{"id":"https://openalex.org/keywords/genomics","display_name":"Genomics","score":0.2743000090122223},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2606000006198883}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.638700008392334},{"id":"https://openalex.org/C32276052","wikidata":"https://www.wikidata.org/wiki/Q908349","display_name":"Motif (music)","level":2,"score":0.5659999847412109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4691999852657318},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4332999885082245},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C117745874","wikidata":"https://www.wikidata.org/wiki/Q901612","display_name":"Sequence motif","level":3,"score":0.34139999747276306},{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.2743000090122223},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C70636015","wikidata":"https://www.wikidata.org/wiki/Q4300350","display_name":"Molecular biophysics","level":2,"score":0.24580000340938568},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2442999929189682}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3674875","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3674875","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3764fefc075549d88ae4fc8d58d3f243","is_oa":true,"landing_page_url":"https://doaj.org/article/3764fefc075549d88ae4fc8d58d3f243","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 45338-45353 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3674875","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3674875","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Bitcoin\u2019s":[0],"24/7":[1],"trading":[2],"generates":[3],"recurring":[4],"intraday":[5],"price":[6,22],"patterns,":[7],"and":[8,20,62,90,123,144],"public":[9],"blockchains":[10],"enable":[11],"time-aligned":[12],"analysis":[13],"of":[14],"transaction":[15,88],"activity.":[16],"We":[17,79],"define":[18],"bullish":[19],"bearish":[21],"motifs":[23],"within":[24],"a":[25,37,52,83],"fixed":[26,53],"24-hour":[27],"windowand":[28],"test":[29],"whether":[30],"the":[31,75,96,101,140,153],"on-chain":[32,142],"transaction-graph":[33],"signals":[34,146],"observed":[35],"before":[36],"motif":[38,133,150],"begins":[39],"can":[40],"distinguish":[41],"these":[42],"patterns.":[43],"Transaction":[44],"activity":[45],"is":[46],"summarized":[47],"using":[48],"chainlet":[49],"representations":[50],"on":[51,105],"input\u2013output":[54],"grid,":[55],"enriched":[56],"with":[57,152],"economic":[58,145],"content":[59],"through":[60],"fee-":[61],"amount-weighted":[63],"chainlets.":[64],"To":[65],"prevent":[66],"label":[67],"leakage,":[68],"all":[69],"features":[70],"are":[71,147],"extracted":[72],"only":[73],"from":[74,108],"left":[76],"(pre-motif)":[77],"window.":[78],"also":[80],"introduce":[81],"FOA,":[82],"ratio-based":[84],"measure":[85],"that":[86,132],"combines":[87],"fees":[89],"transferred":[91],"amounts":[92],"(fee/amount)":[93],"to":[94,100,110,114],"capture":[95],"fee":[97],"pressure":[98],"relative":[99],"moved":[102],"value.":[103],"Experiments":[104],"10-minute":[106],"blocks":[107],"2017":[109],"2024":[111],"were":[112],"conducted":[113],"evaluate":[115],"scaling,":[116],"dimensionality":[117],"reduction":[118],"(including":[119],"principal":[120],"component":[121],"analysis),":[122],"11":[124],"classical":[125],"machine":[126],"learning":[127],"classifiers.":[128],"Seasonal":[129],"analyses":[130],"show":[131],"frequencies":[134],"cluster":[135],"in":[136],"specific":[137],"periods.":[138],"Overall,":[139],"pre-motif":[141],"structure":[143],"informative":[148],"for":[149],"discrimination,":[151],"highest":[154],"accuracy":[155],"achieved":[156],"by":[157],"Fee":[158],"+":[159,161],"PCA":[160],"ExtraTrees.":[162]},"counts_by_year":[],"updated_date":"2026-03-30T08:08:38.191290","created_date":"2026-03-18T00:00:00"}