{"id":"https://openalex.org/W4403814965","doi":"https://doi.org/10.48550/arxiv.2409.20064","title":"Knowledge Discovery using Unsupervised Cognition","display_name":"Knowledge Discovery using Unsupervised Cognition","publication_year":2024,"publication_date":"2024-09-30","ids":{"openalex":"https://openalex.org/W4403814965","doi":"https://doi.org/10.48550/arxiv.2409.20064"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2409.20064","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.20064","pdf_url":"https://arxiv.org/pdf/2409.20064","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2409.20064","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099172413","display_name":"Alfredo Ibias","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ibias, Alfredo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111396928","display_name":"Hector Antona","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antona, Hector","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034305319","display_name":"Guillem Ramirez-Miranda","orcid":"https://orcid.org/0000-0003-2741-3705"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramirez-Miranda, Guillem","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5099172414","display_name":"Enric Guinovart","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guinovart, Enric","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5099172413"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.6858999729156494,"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":0.6858999729156494,"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/T10320","display_name":"Neural Networks and Applications","score":0.6577000021934509,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.6756264567375183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46435001492500305},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.384949654340744},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.364310085773468},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.36206406354904175},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35465264320373535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32307615876197815},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1347794532775879}],"concepts":[{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.6756264567375183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46435001492500305},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.384949654340744},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.364310085773468},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36206406354904175},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35465264320373535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32307615876197815},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1347794532775879}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2409.20064","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.20064","pdf_url":"https://arxiv.org/pdf/2409.20064","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2409.20064","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2409.20064","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2409.20064","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.20064","pdf_url":"https://arxiv.org/pdf/2409.20064","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403814965.pdf","grobid_xml":"https://content.openalex.org/works/W4403814965.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4312825515","https://openalex.org/W4306742369","https://openalex.org/W2081348319","https://openalex.org/W3156433428","https://openalex.org/W1974622901","https://openalex.org/W4248151009","https://openalex.org/W3127991229","https://openalex.org/W2074627502"],"abstract_inverted_index":{"Knowledge":[0],"discovery":[1,44],"is":[2,23,88],"key":[3],"to":[4,13,41,89,99,105],"understand":[5],"and":[6,72,93,96,116],"interpret":[7],"a":[8,24,55,60,73,101],"dataset,":[9],"as":[10,12],"well":[11],"find":[14],"the":[15,33,67,80,121],"underlying":[16],"relationships":[17],"between":[18,91],"its":[19],"components.":[20],"Unsupervised":[21,49],"Cognition":[22,50],"novel":[25],"unsupervised":[26],"learning":[27],"algorithm":[28],"that":[29,118],"focus":[30],"on":[31,66,79],"modelling":[32],"learned":[34],"data.":[35],"This":[36],"paper":[37],"presents":[38],"three":[39],"techniques":[40],"perform":[42],"knowledge":[43,124],"over":[45],"an":[46],"already":[47],"trained":[48],"model.":[51],"Specifically,":[52],"we":[53],"present":[54],"technique":[56,61,74],"for":[57,62,75],"pattern":[58,69],"mining,":[59],"feature":[63,82],"selection":[64,83],"based":[65,78],"previous":[68,81],"mining":[70],"technique,":[71],"dimensionality":[76],"reduction":[77],"technique.":[84],"The":[85],"final":[86],"goal":[87],"distinguish":[90],"relevant":[92],"irrelevant":[94],"features":[95],"use":[97],"them":[98],"build":[100],"model":[102],"from":[103],"which":[104],"extract":[106],"meaningful":[107],"patterns.":[108],"We":[109],"evaluated":[110],"our":[111],"proposals":[112],"with":[113],"empirical":[114],"experiments":[115],"found":[117],"they":[119],"overcome":[120],"state-of-the-art":[122],"in":[123],"discovery.":[125]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}