{"id":"https://openalex.org/W4409069510","doi":"https://doi.org/10.1186/s40537-025-01122-9","title":"SPINEX-anomaly: similarity-based predictions with explainable neighbors exploration for anomaly and outlier detection","display_name":"SPINEX-anomaly: similarity-based predictions with explainable neighbors exploration for anomaly and outlier detection","publication_year":2025,"publication_date":"2025-04-01","ids":{"openalex":"https://openalex.org/W4409069510","doi":"https://doi.org/10.1186/s40537-025-01122-9"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-025-01122-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01122-9","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s40537-025-01122-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047632598","display_name":"M.Z. Naser","orcid":"https://orcid.org/0000-0003-1350-3654"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M. Z. Naser","raw_affiliation_strings":["Artificial Intelligence Research Institute for Science and Engineering (AIRISE), Clemson University, Clemson, SC, USA","School of Civil & Environmental Engineering and Earth Sciences (SCEEES), Clemson University, Clemson, SC, USA"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Institute for Science and Engineering (AIRISE), Clemson University, Clemson, SC, USA","institution_ids":["https://openalex.org/I8078737"]},{"raw_affiliation_string":"School of Civil & Environmental Engineering and Earth Sciences (SCEEES), Clemson University, Clemson, SC, USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070905535","display_name":"Ahmad Z. Naser","orcid":null},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ahmad Z. Naser","raw_affiliation_strings":["Department of Mechanical Engineering, University of Manitoba, Winnipeg, Manitoba, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Manitoba, Winnipeg, Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047632598"],"corresponding_institution_ids":["https://openalex.org/I8078737"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02851174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.987500011920929,"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":0.8540120720863342},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.748748779296875},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7007690668106079},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6907628178596497},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6473250389099121},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5048969388008118},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.4483989179134369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3923243284225464},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3512089252471924},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28916996717453003},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07353943586349487}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8540120720863342},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.748748779296875},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7007690668106079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6907628178596497},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6473250389099121},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5048969388008118},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.4483989179134369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3923243284225464},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3512089252471924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28916996717453003},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07353943586349487},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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":3,"locations":[{"id":"doi:10.1186/s40537-025-01122-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01122-9","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9f29ea12d22e441e85ac0437b1034b39","is_oa":true,"landing_page_url":"https://doaj.org/article/9f29ea12d22e441e85ac0437b1034b39","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":"Journal of Big Data, Vol 12, Iss 1, Pp 1-55 (2025)","raw_type":"article"},{"id":"pmh:oai:mspace.lib.umanitoba.ca:1993/39065","is_oa":false,"landing_page_url":"http://hdl.handle.net/1993/39065","pdf_url":null,"source":{"id":"https://openalex.org/S4306400554","display_name":"Mspace (University of Manitoba)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I46247651","host_organization_name":"University of Manitoba","host_organization_lineage":["https://openalex.org/I46247651"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"research article"}],"best_oa_location":{"id":"doi:10.1186/s40537-025-01122-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01122-9","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309106","display_name":"Clemson University","ror":"https://ror.org/037s24f05"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W199035648","https://openalex.org/W1242748811","https://openalex.org/W1584412742","https://openalex.org/W1986332411","https://openalex.org/W2014374971","https://openalex.org/W2016023958","https://openalex.org/W2056081083","https://openalex.org/W2059659103","https://openalex.org/W2124316743","https://openalex.org/W2127979711","https://openalex.org/W2144182447","https://openalex.org/W2160919715","https://openalex.org/W2282861635","https://openalex.org/W2296719434","https://openalex.org/W2731977498","https://openalex.org/W2757169940","https://openalex.org/W2899638272","https://openalex.org/W2901866350","https://openalex.org/W2955002903","https://openalex.org/W2966559104","https://openalex.org/W2983029853","https://openalex.org/W3008735069","https://openalex.org/W3012334351","https://openalex.org/W3040266635","https://openalex.org/W3103797389","https://openalex.org/W3104917574","https://openalex.org/W3112073073","https://openalex.org/W3128465814","https://openalex.org/W3131633867","https://openalex.org/W3135550350","https://openalex.org/W3160696717","https://openalex.org/W3198001643","https://openalex.org/W3215109731","https://openalex.org/W4207044434","https://openalex.org/W4236137412","https://openalex.org/W4243563432","https://openalex.org/W4246206420","https://openalex.org/W4293417080","https://openalex.org/W4312433903","https://openalex.org/W4377704482","https://openalex.org/W4386232089","https://openalex.org/W4396232472","https://openalex.org/W4401980530"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2806741695","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160"],"abstract_inverted_index":{"Abstract":[0],"This":[1,21,50],"paper":[2],"presents":[3],"a":[4,73,80,142],"novel":[5],"anomaly":[6,58,105],"and":[7,28,61,65,71,77,108,134],"outlier":[8],"detection":[9,59,106],"algorithm":[10,22,51],"from":[11,68],"the":[12,24,46,88,91,126,131,135,138,145],"SPINEX":[13,98,120],"(Similarity-based":[14],"Predictions":[15],"with":[16,151],"Explainable":[17],"Neighbors":[18],"Exploration)":[19],"family.":[20],"leverages":[23],"concept":[25],"of":[26,40,48,72,75,90,128,144,148],"similarity":[27],"higher-order":[29],"interactions":[30],"across":[31,62],"multiple":[32],"subspaces":[33],"to":[34,44,86,123],"identify":[35],"outliers.":[36],"A":[37],"comprehensive":[38],"set":[39],"experiments":[41],"was":[42,52,83,121],"conducted":[43],"evaluate":[45],"performance":[47],"SPINEX.":[49],"examined":[53],"against":[54],"21":[55],"commonly":[56,103],"used":[57,104],"algorithms,":[60,107],"39":[63],"synthetic":[64,132],"real":[66,139],"datasets":[67,133],"various":[69],"domains":[70],"variety":[74],"dimensions":[76],"complexities.":[78],"Furthermore,":[79],"complexity":[81,89,111],"analysis":[82],"carried":[84],"out":[85],"examine":[87],"proposed":[92],"algorithm.":[93],"Our":[94],"results":[95],"demonstrate":[96],"that":[97],"achieves":[99],"superior":[100],"performance,":[101],"outperforms":[102],"has":[109],"moderate":[110],"(e.g.,":[112],"O(n":[113],"log":[114],"n":[115],"\u00d7":[116],"d)).":[117],"More":[118],"specifically,":[119],"found":[122],"rank":[124],"at":[125],"top":[127],"algorithms":[129],"on":[130,137],"7th":[136],"datasets.":[140],"Finally,":[141],"demonstration":[143],"explainability":[146],"capabilities":[147],"SPINEX,":[149],"along":[150],"future":[152],"research":[153],"needs,":[154],"is":[155],"presented.":[156]},"counts_by_year":[],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}
