{"id":"https://openalex.org/W2467470836","doi":"https://doi.org/10.17562/pb-53-3","title":"Data Reduction and Regression Using Principal Component Analysis in Qualitative Spatial Reasoning and Health Informatics","display_name":"Data Reduction and Regression Using Principal Component Analysis in Qualitative Spatial Reasoning and Health Informatics","publication_year":2016,"publication_date":"2016-01-31","ids":{"openalex":"https://openalex.org/W2467470836","doi":"https://doi.org/10.17562/pb-53-3","mag":"2467470836"},"language":"en","primary_location":{"id":"doi:10.17562/pb-53-3","is_oa":false,"landing_page_url":"https://doi.org/10.17562/pb-53-3","pdf_url":null,"source":{"id":"https://openalex.org/S4210186437","display_name":"Polibits","issn_l":"1870-9044","issn":["1870-9044","2395-8618"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Polibits","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.redalyc.org/pdf/4026/402646943004.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069724200","display_name":"Chaman L. Sabharwal","orcid":"https://orcid.org/0000-0001-5095-8290"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chaman Lal Sabharwal","raw_affiliation_strings":["Missouri University of Science and Technology, , Rolla, Misuri, Estados Unidos de Am\u00e9rica"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology, , Rolla, Misuri, Estados Unidos de Am\u00e9rica","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049740390","display_name":"Bushra Anjum","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bushra Anjum","raw_affiliation_strings":["Amazon Inc., , San Luis Obispo, California, Estados Unidos de Am\u00e9rica"],"affiliations":[{"raw_affiliation_string":"Amazon Inc., , San Luis Obispo, California, Estados Unidos de Am\u00e9rica","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069724200"],"corresponding_institution_ids":["https://openalex.org/I20382870"],"apc_list":null,"apc_paid":null,"fwci":1.0958,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.79760144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"53","issue":null,"first_page":"31","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9865000247955322,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.978600025177002,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8117408752441406},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8011829853057861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6061886548995972},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5902778506278992},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4960115849971771},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.49399977922439575},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.48933571577072144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48234671354293823},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.48202812671661377},{"id":"https://openalex.org/keywords/informatics","display_name":"Informatics","score":0.46482613682746887},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4268917441368103},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37116312980651855},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2737622559070587},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22297149896621704}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8117408752441406},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8011829853057861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6061886548995972},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5902778506278992},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4960115849971771},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.49399977922439575},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.48933571577072144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48234671354293823},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.48202812671661377},{"id":"https://openalex.org/C191630685","wikidata":"https://www.wikidata.org/wiki/Q4027615","display_name":"Informatics","level":2,"score":0.46482613682746887},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4268917441368103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37116312980651855},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2737622559070587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22297149896621704},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.17562/pb-53-3","is_oa":false,"landing_page_url":"https://doi.org/10.17562/pb-53-3","pdf_url":null,"source":{"id":"https://openalex.org/S4210186437","display_name":"Polibits","issn_l":"1870-9044","issn":["1870-9044","2395-8618"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Polibits","raw_type":"journal-article"},{"id":"pmh:oai:redalyc.org:402646943004","is_oa":true,"landing_page_url":"https://www.redalyc.org/articulo.oa?id=402646943004","pdf_url":"https://www.redalyc.org/pdf/4026/402646943004.pdf","source":{"id":"https://openalex.org/S4377196100","display_name":"Redalyc (Universidad Aut\u00f3noma del Estado de M\u00e9xico)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I179647637","host_organization_name":"Universidad Aut\u00f3noma del Estado de M\u00e9xico","host_organization_lineage":["https://openalex.org/I179647637"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Polibits (M\u00e9xico) Vol.53","raw_type":"art\u00edculo cient\u00edfico"}],"best_oa_location":{"id":"pmh:oai:redalyc.org:402646943004","is_oa":true,"landing_page_url":"https://www.redalyc.org/articulo.oa?id=402646943004","pdf_url":"https://www.redalyc.org/pdf/4026/402646943004.pdf","source":{"id":"https://openalex.org/S4377196100","display_name":"Redalyc (Universidad Aut\u00f3noma del Estado de M\u00e9xico)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I179647637","host_organization_name":"Universidad Aut\u00f3noma del Estado de M\u00e9xico","host_organization_lineage":["https://openalex.org/I179647637"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Polibits (M\u00e9xico) Vol.53","raw_type":"art\u00edculo cient\u00edfico"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2467470836.pdf","grobid_xml":"https://content.openalex.org/works/W2467470836.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W852874","https://openalex.org/W42186646","https://openalex.org/W77667794","https://openalex.org/W147865766","https://openalex.org/W1663973292","https://openalex.org/W2007962988","https://openalex.org/W2042598650","https://openalex.org/W2071128523","https://openalex.org/W2110646369","https://openalex.org/W2133039566","https://openalex.org/W2248914217","https://openalex.org/W2293039954","https://openalex.org/W2325070825","https://openalex.org/W3126588943"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W4317486777","https://openalex.org/W4389669152","https://openalex.org/W2038514069","https://openalex.org/W1967233468","https://openalex.org/W2009181529"],"abstract_inverted_index":{"\"The":[0],"central":[1],"idea":[2],"of":[3,13,17,21,30,107],"principal":[4],"component":[5],"analysis":[6,70],"(PCA)":[7],"is":[8],"to":[9,54,62,82,86],"reduce":[10],"the":[11,31,35,88],"dimensionality":[12],"a":[14,18,101],"dataset":[15,36],"consisting":[16],"large":[19],"number":[20,106],"interrelated":[22],"variables,":[23],"while":[24],"retaining":[25],"as":[26,28],"much":[27],"possible":[29],"variation":[32],"present":[33,119],"in":[34,46],".":[37,93],"In":[38,72],"this":[39],"paper,":[40],"we":[41,78],"use":[42],"PCA":[43,81],"based":[44],"algorithms":[45,85],"two":[47],"diverse":[48],"genres,":[49],"qualitative":[50],"spatial":[51],"reasoning":[52],"(QSR)":[53],"achieve":[55,63],"lossless":[56],"data":[57,64,124],"reduction":[58,65],"and":[59,91,104,125],"health":[60,127],"informatics":[61],"along":[66],"with":[67],"improved":[68],"regression":[69,84,116],"respectively.":[71],"an":[73],"adaptive":[74],"hybrid":[75],"approach":[76],",":[77],"have":[79,99],"employed":[80],"traditional":[83],"improve":[87],"ir":[89],"performance":[90],"representation":[92],"This":[94],"yields":[95],"prediction":[96],"models":[97],"that":[98],"both":[100,122],"better":[102],"fit":[103],"reduced":[105],"attributes":[108],"than":[109],"those":[110],"produced":[111],"by":[112],"using":[113,121],"standard":[114],"logistic":[115],"alone.":[117],"We":[118],"examples":[120],"synthetic":[123],"real":[126],"datasets":[128],"from":[129],"UCI":[130],"Repository.\"":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
