{"id":"https://openalex.org/W4417145987","doi":"https://doi.org/10.1007/s41060-025-00934-5","title":"A novel multilevel taxonomical approach for describing high-dimensional unlabeled movement data","display_name":"A novel multilevel taxonomical approach for describing high-dimensional unlabeled movement data","publication_year":2025,"publication_date":"2025-12-09","ids":{"openalex":"https://openalex.org/W4417145987","doi":"https://doi.org/10.1007/s41060-025-00934-5"},"language":"en","primary_location":{"id":"doi:10.1007/s41060-025-00934-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-025-00934-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41060-025-00934-5.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s41060-025-00934-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021616793","display_name":"Yashar Tavakoli","orcid":"https://orcid.org/0000-0002-0854-1261"},"institutions":[{"id":"https://openalex.org/I130438778","display_name":"Memorial University of Newfoundland","ror":"https://ror.org/04haebc03","country_code":"CA","type":"education","lineage":["https://openalex.org/I130438778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yashar Tavakoli","raw_affiliation_strings":["Department of Computer Science, Memorial University of Newfoundland, St. John\u2019s, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Memorial University of Newfoundland, St. John\u2019s, Canada","institution_ids":["https://openalex.org/I130438778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044078900","display_name":"Lourdes Pe\u00f1a\u2010Castillo","orcid":"https://orcid.org/0000-0002-0643-2547"},"institutions":[{"id":"https://openalex.org/I130438778","display_name":"Memorial University of Newfoundland","ror":"https://ror.org/04haebc03","country_code":"CA","type":"education","lineage":["https://openalex.org/I130438778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lourdes Pe\u00f1a-Castillo","raw_affiliation_strings":["Department of Biology, Memorial University of Newfoundland, St. John\u2019s, Canada","Department of Computer Science, Memorial University of Newfoundland, St. John\u2019s, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Biology, Memorial University of Newfoundland, St. John\u2019s, Canada","institution_ids":["https://openalex.org/I130438778"]},{"raw_affiliation_string":"Department of Computer Science, Memorial University of Newfoundland, St. John\u2019s, Canada","institution_ids":["https://openalex.org/I130438778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040197161","display_name":"Am\u00edlcar Soares","orcid":"https://orcid.org/0000-0001-5957-3805"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Amilcar Soares","raw_affiliation_strings":["Department of Computer Science and Media Technology, Linnaeus University, V\u00e4xjo, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Media Technology, Linnaeus University, V\u00e4xjo, Sweden","institution_ids":["https://openalex.org/I223464139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040197161"],"corresponding_institution_ids":["https://openalex.org/I223464139"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43084854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.17430000007152557,"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"}},"topics":[{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.17430000007152557,"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/T12644","display_name":"Wildlife-Road Interactions and Conservation","score":0.04749999940395355,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.04320000112056732,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7391999959945679},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.7350000143051147},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.675000011920929},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4498000144958496},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.40059998631477356},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.38999998569488525}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7391999959945679},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.7350000143051147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6984999775886536},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.675000011920929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5390999913215637},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4498000144958496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4250999987125397},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4020000100135803},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.40059998631477356},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.38999998569488525},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.27219998836517334},{"id":"https://openalex.org/C2776088427","wikidata":"https://www.wikidata.org/wiki/Q378859","display_name":"Pattern detection","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41060-025-00934-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-025-00934-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41060-025-00934-5.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:DiVA.org:lnu-143804","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-143804","pdf_url":null,"source":{"id":"https://openalex.org/S4306401598","display_name":"DiVA (Linnaeus University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I223464139","host_organization_name":"Linnaeus University","host_organization_lineage":["https://openalex.org/I223464139"],"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":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1007/s41060-025-00934-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-025-00934-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41060-025-00934-5.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1597412403","display_name":null,"funder_award_id":"RGPIN-","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G2165548363","display_name":null,"funder_award_id":"Canada","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G5553729488","display_name":null,"funder_award_id":"RGPIN-2022-0390","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G6221715925","display_name":null,"funder_award_id":"RGPIN","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G8105784103","display_name":null,"funder_award_id":"RGPIN-202","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G8284766523","display_name":null,"funder_award_id":"(NSERC)","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G8287580123","display_name":null,"funder_award_id":"RGPIN-2022-03909","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320323551","display_name":"Linn\u00e9universitetet","ror":"https://ror.org/00j9qag85"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417145987.pdf"},"referenced_works_count":94,"referenced_works":["https://openalex.org/W30482722","https://openalex.org/W648076884","https://openalex.org/W1497303847","https://openalex.org/W1531774733","https://openalex.org/W1558782100","https://openalex.org/W1576479276","https://openalex.org/W1857916223","https://openalex.org/W1870538541","https://openalex.org/W1926925472","https://openalex.org/W1929039103","https://openalex.org/W1942616003","https://openalex.org/W1970041670","https://openalex.org/W1986324410","https://openalex.org/W1998383413","https://openalex.org/W2000003353","https://openalex.org/W2015378554","https://openalex.org/W2025142164","https://openalex.org/W2061657453","https://openalex.org/W2078677817","https://openalex.org/W2090847193","https://openalex.org/W2094332756","https://openalex.org/W2094400288","https://openalex.org/W2095813426","https://openalex.org/W2110919933","https://openalex.org/W2117895438","https://openalex.org/W2130652100","https://openalex.org/W2149086733","https://openalex.org/W2149539448","https://openalex.org/W2169066315","https://openalex.org/W2180287200","https://openalex.org/W2287065228","https://openalex.org/W2293600471","https://openalex.org/W2417657804","https://openalex.org/W2484109858","https://openalex.org/W2504658994","https://openalex.org/W2508656285","https://openalex.org/W2561688024","https://openalex.org/W2590038026","https://openalex.org/W2604177562","https://openalex.org/W2609535044","https://openalex.org/W2611590698","https://openalex.org/W2726748953","https://openalex.org/W2749776958","https://openalex.org/W2750461580","https://openalex.org/W2753615759","https://openalex.org/W2760295842","https://openalex.org/W2770475378","https://openalex.org/W2770905548","https://openalex.org/W2781762292","https://openalex.org/W2788857645","https://openalex.org/W2792203669","https://openalex.org/W2899848438","https://openalex.org/W2901663499","https://openalex.org/W2904753829","https://openalex.org/W2905242309","https://openalex.org/W2916392569","https://openalex.org/W2974677520","https://openalex.org/W2982353501","https://openalex.org/W2990721613","https://openalex.org/W3000716014","https://openalex.org/W3008754679","https://openalex.org/W3022901531","https://openalex.org/W3023070658","https://openalex.org/W3034265767","https://openalex.org/W3035622304","https://openalex.org/W3043253280","https://openalex.org/W3044300573","https://openalex.org/W3105429705","https://openalex.org/W3115453164","https://openalex.org/W3116286104","https://openalex.org/W3121873215","https://openalex.org/W3137498270","https://openalex.org/W3153153335","https://openalex.org/W3162362930","https://openalex.org/W3163878583","https://openalex.org/W3167855819","https://openalex.org/W3196389800","https://openalex.org/W3202667484","https://openalex.org/W3214177057","https://openalex.org/W4205123268","https://openalex.org/W4206842905","https://openalex.org/W4210813334","https://openalex.org/W4211072535","https://openalex.org/W4214834559","https://openalex.org/W4243072198","https://openalex.org/W4288068997","https://openalex.org/W4300889188","https://openalex.org/W4303105520","https://openalex.org/W4313138032","https://openalex.org/W4386730038","https://openalex.org/W4390705060","https://openalex.org/W4392366650","https://openalex.org/W6908435960","https://openalex.org/W6911087992"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Movement":[1],"data":[2,66,152],"is":[3],"prevalent":[4],"across":[5,159],"various":[6],"applications":[7],"and":[8,17,29,38,59,99,111,124,154,224,240,246],"scientific":[9,40],"fields,":[10],"often":[11],"characterized":[12],"by":[13,89],"its":[14,43,220],"massive":[15],"scale":[16],"complexity.":[18],"Exploratory":[19],"Data":[20],"Analysis":[21],"(EDA)":[22],"plays":[23],"a":[24,91,109,140],"crucial":[25],"role":[26],"in":[27,85,216],"summarizing":[28],"describing":[30],"such":[31,205],"data,":[32],"enabling":[33],"researchers":[34],"to":[35,52,115,126,150,222],"generate":[36],"insights":[37],"support":[39],"hypotheses.":[41],"Despite":[42],"importance,":[44],"traditional":[45],"EDA":[46,78,87],"practices":[47,88],"face":[48],"limitations":[49],"when":[50],"applied":[51],"high-dimensional,":[53,250],"unlabeled":[54,251],"movement":[55,96,106,145,184,226,238,252],"data.":[56,132,253],"The":[57,228],"complexity":[58],"multi-faceted":[60],"nature":[61],"of":[62,65,76,117,130,163,183,237],"this":[63,135],"type":[64],"require":[67],"more":[68,127,202],"advanced":[69],"methods":[70],"that":[71,94,104,143,234],"go":[72],"beyond":[73],"the":[74,83,131,177,181,195,213,235],"capabilities":[75],"current":[77,86],"techniques.":[79],"This":[80],"study":[81],"addresses":[82],"gap":[84],"proposing":[90],"novel":[92],"approach":[93],"leverages":[95],"variable":[97],"taxonomies":[98,146,239],"outlier":[100,148],"detection.":[101],"We":[102],"hypothesize":[103],"organizing":[105],"features":[107],"into":[108,201],"taxonomy,":[110],"applying":[112],"anomaly":[113,241],"detection":[114,149,242],"combinations":[116],"taxonomic":[118],"nodes,":[119],"can":[120],"reveal":[121],"meaningful":[122,245],"patterns":[123,185,248],"lead":[125],"interpretable":[128,247],"descriptions":[129],"To":[133],"test":[134],"hypothesis,":[136,232],"we":[137],"introduce":[138],"TUMD,":[139],"new":[141],"method":[142],"integrates":[144],"with":[147],"enhance":[151],"analysis":[153],"interpretation.":[155],"TUMD":[156,211],"was":[157,172],"evaluated":[158],"four":[160],"diverse":[161],"datasets":[162],"moving":[164],"objects":[165],"using":[166],"fixed":[167],"parameter":[168],"values.":[169],"Its":[170],"effectiveness":[171,214],"assessed":[173],"through":[174],"two":[175],"passes:":[176],"first":[178],"pass":[179,197],"categorized":[180],"majority":[182],"as":[186,206],"Kinematic,":[187],"Geometric,":[188],"or":[189,209],"Hybrid":[190],"for":[191],"all":[192],"datasets,":[193,218],"while":[194],"second":[196],"refined":[198],"these":[199],"behaviors":[200],"specific":[203],"categories":[204],"Speed,":[207],"Acceleration,":[208],"Indentation.":[210],"met":[212],"criteria":[215],"three":[217],"demonstrating":[219],"ability":[221],"describe":[223],"refine":[225],"behaviors.":[227],"results":[229],"confirmed":[230],"our":[231],"showing":[233],"combination":[236],"successfully":[243],"uncovers":[244],"within":[249]},"counts_by_year":[],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-12-09T00:00:00"}
