{"id":"https://openalex.org/W27749159","doi":"https://doi.org/10.1007/978-3-642-28894-4_8","title":"Correspondence Analysis in the Case of Outliers","display_name":"Correspondence Analysis in the Case of Outliers","publication_year":2012,"publication_date":"2012-09-06","ids":{"openalex":"https://openalex.org/W27749159","doi":"https://doi.org/10.1007/978-3-642-28894-4_8","mag":"27749159"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-28894-4_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-28894-4_8","pdf_url":null,"source":{"id":"https://openalex.org/S4210194094","display_name":"Studies in classification, data analysis, and knowledge organization","issn_l":"1431-8814","issn":["1431-8814","2198-3321"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Classification, Data Analysis, and Knowledge Organization","raw_type":"book-chapter"},"type":"book-chapter","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/A5009022052","display_name":"Anna Langovaya","orcid":null},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Anna Langovaya","raw_affiliation_strings":["TU Dortmund University, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"TU Dortmund University, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088554941","display_name":"Sonja Kuhnt","orcid":"https://orcid.org/0000-0003-1883-8760"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sonja Kuhnt","raw_affiliation_strings":["TU Dortmund University, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"TU Dortmund University, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032905371","display_name":"Hamdi Chouikha","orcid":null},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hamdi Chouikha","raw_affiliation_strings":["TU Dortmund University, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"TU Dortmund University, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009022052"],"corresponding_institution_ids":["https://openalex.org/I200332995"],"apc_list":null,"apc_paid":null,"fwci":1.1786,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74648438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"63","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/T13141","display_name":"Statistical Methods and Applications","score":0.9169999957084656,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.9033331274986267},{"id":"https://openalex.org/keywords/contingency-table","display_name":"Contingency table","score":0.892754077911377},{"id":"https://openalex.org/keywords/correspondence-analysis","display_name":"Correspondence analysis","score":0.8836973905563354},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.8244666457176208},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.66645348072052},{"id":"https://openalex.org/keywords/multiple-correspondence-analysis","display_name":"Multiple correspondence analysis","score":0.5853601694107056},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.4352222979068756},{"id":"https://openalex.org/keywords/contingency","display_name":"Contingency","score":0.43143612146377563},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39343053102493286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3874664604663849},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38294699788093567},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36832958459854126},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.07987794280052185}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.9033331274986267},{"id":"https://openalex.org/C91998498","wikidata":"https://www.wikidata.org/wiki/Q1541178","display_name":"Contingency table","level":2,"score":0.892754077911377},{"id":"https://openalex.org/C148298330","wikidata":"https://www.wikidata.org/wiki/Q1784754","display_name":"Correspondence analysis","level":2,"score":0.8836973905563354},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8244666457176208},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.66645348072052},{"id":"https://openalex.org/C97448799","wikidata":"https://www.wikidata.org/wiki/Q2845212","display_name":"Multiple correspondence analysis","level":2,"score":0.5853601694107056},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.4352222979068756},{"id":"https://openalex.org/C97508593","wikidata":"https://www.wikidata.org/wiki/Q1359069","display_name":"Contingency","level":2,"score":0.43143612146377563},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39343053102493286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3874664604663849},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38294699788093567},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36832958459854126},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.07987794280052185},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-28894-4_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-28894-4_8","pdf_url":null,"source":{"id":"https://openalex.org/S4210194094","display_name":"Studies in classification, data analysis, and knowledge organization","issn_l":"1431-8814","issn":["1431-8814","2198-3321"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Classification, Data Analysis, and Knowledge Organization","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W227277429","https://openalex.org/W1124708747","https://openalex.org/W1884696523","https://openalex.org/W1885011557","https://openalex.org/W2052696562","https://openalex.org/W2068463288","https://openalex.org/W2076983043","https://openalex.org/W2137834063","https://openalex.org/W2146874446","https://openalex.org/W2326527922","https://openalex.org/W4233085346","https://openalex.org/W4247545505","https://openalex.org/W4302317488","https://openalex.org/W6608895257"],"related_works":["https://openalex.org/W2012964340","https://openalex.org/W2052313801","https://openalex.org/W4233725187","https://openalex.org/W2072636203","https://openalex.org/W2113183659","https://openalex.org/W4242537497","https://openalex.org/W3089575900","https://openalex.org/W1999836890","https://openalex.org/W2026874074","https://openalex.org/W4211233528"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
