{"id":"https://openalex.org/W1957789520","doi":"https://doi.org/10.1109/eais.2012.6232826","title":"User modeling in changeable environments","display_name":"User modeling in changeable environments","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W1957789520","doi":"https://doi.org/10.1109/eais.2012.6232826","mag":"1957789520"},"language":"en","primary_location":{"id":"doi:10.1109/eais.2012.6232826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais.2012.6232826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Evolving and Adaptive Intelligent Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5042119350","display_name":"Jos\u00e9 Antonio Iglesias","orcid":"https://orcid.org/0000-0003-0447-5444"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jose Antonio Iglesias","raw_affiliation_strings":["Universidad Carlos III de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5042119350"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":0.9024,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74030474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"16","issue":null,"first_page":"182","last_page":"185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9904999732971191,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9904000163078308,"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/computer-science","display_name":"Computer science","score":0.8465904593467712},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7326667308807373},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6431885361671448},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.611651599407196},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6024026870727539},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5664347410202026},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5655797123908997},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.507157564163208},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.486887127161026},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.47566694021224976},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4509522318840027},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.4386405348777771},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.284684956073761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2565091848373413},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.16612353920936584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8465904593467712},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7326667308807373},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6431885361671448},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.611651599407196},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6024026870727539},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5664347410202026},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5655797123908997},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.507157564163208},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.486887127161026},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.47566694021224976},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4509522318840027},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.4386405348777771},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.284684956073761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2565091848373413},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16612353920936584},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eais.2012.6232826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais.2012.6232826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Evolving and Adaptive Intelligent Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W168451370","https://openalex.org/W1481419422","https://openalex.org/W1536295095","https://openalex.org/W1580161670","https://openalex.org/W1721205598","https://openalex.org/W1889619166","https://openalex.org/W2012936076","https://openalex.org/W2081142165","https://openalex.org/W2085044339","https://openalex.org/W2098693229","https://openalex.org/W2102552198","https://openalex.org/W2117553576","https://openalex.org/W2135346934","https://openalex.org/W2135937892","https://openalex.org/W2154872931","https://openalex.org/W2158454296","https://openalex.org/W2160395727","https://openalex.org/W2500385585","https://openalex.org/W2615543084","https://openalex.org/W2799061466","https://openalex.org/W3145074154","https://openalex.org/W4244494905","https://openalex.org/W4251942513","https://openalex.org/W6632070632","https://openalex.org/W6675441731","https://openalex.org/W6680069891","https://openalex.org/W6682644385"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"One":[0],"of":[1,12,24,35,50,59,65,78,110,114,129,154,157],"the":[2,10,13,17,57,76,112,115,123,130,140,146,155],"challenges":[3],"which":[4,32,52],"need":[5,18],"to":[6,19,83,95,169],"be":[7],"faced":[8],"in":[9,31,41,98,161,172],"field":[11],"information":[14,36,55],"processing":[15,62],"is":[16,69],"cope":[20],"with":[21,136],"huge":[22],"amounts":[23],"data.":[25,126],"There":[26],"exist":[27],"many":[28],"different":[29],"environments":[30],"large":[33],"quantities":[34],"are":[37,133],"produced.":[38],"For":[39],"example,":[40],"a":[42,45,70,79,89,107,137,166],"command-line":[43],"interface,":[44],"computer":[46],"user":[47],"types":[48],"thousand":[49],"commands":[51],"can":[53],"hide":[54],"about":[56],"behavior":[58],"her/his.":[60],"However,":[61],"this":[63],"kind":[64],"streaming":[66,85,162],"data":[67,86,97,117,163],"on-line":[68],"hard":[71],"problem.":[72],"This":[73,101],"paper":[74],"address":[75],"use":[77,170],"dimensionality":[80,141,159],"reduction":[81,142,160],"perspective":[82,168],"classify":[84],"and":[87,121,144,164],"present":[88],"preliminary":[90],"work":[91],"for":[92],"its":[93],"adaptation":[94],"new":[96,102,116,167],"changeable":[99,173],"environments.":[100,174],"extended":[103],"proposal":[104],"allows":[105],"from":[106],"computational":[108],"point":[109],"view":[111],"treatment":[113],"without":[118],"any":[119],"penalty":[120],"evolving":[122],"previously":[124],"analyzed":[125],"Some":[127],"results":[128,150],"general":[131],"technique":[132],"presented":[134],"jointly":[135],"comparison":[138],"between":[139],"approach":[143],"using":[145,158],"full":[147],"dataset.":[148],"The":[149],"obtained":[151],"show":[152],"some":[153],"advantages":[156],"gives":[165],"it":[171]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
