{"id":"https://openalex.org/W1486014200","doi":"https://doi.org/10.1007/978-3-642-03040-6_3","title":"A Symmetrical Model Applied to Interval-Valued Data Containing Outliers with Heavy-Tail Distribution","display_name":"A Symmetrical Model Applied to Interval-Valued Data Containing Outliers with Heavy-Tail Distribution","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W1486014200","doi":"https://doi.org/10.1007/978-3-642-03040-6_3","mag":"1486014200"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-03040-6_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-03040-6_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","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/A5112844298","display_name":"Marco A. O. Domingues","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Marco A. O. Domingues","raw_affiliation_strings":["Informatics Center, Federal University of Pernambuco, P.O.Box 7851, 50.740-540, Recife (PE), Brazil"],"affiliations":[{"raw_affiliation_string":"Informatics Center, Federal University of Pernambuco, P.O.Box 7851, 50.740-540, Recife (PE), Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056928312","display_name":"Renata M.C.R. de Souza","orcid":"https://orcid.org/0000-0002-2849-1273"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Renata M. C. R. de Souza","raw_affiliation_strings":["Informatics Center, Federal University of Pernambuco, P.O.Box 7851, 50.740-540, Recife (PE), Brazil"],"affiliations":[{"raw_affiliation_string":"Informatics Center, Federal University of Pernambuco, P.O.Box 7851, 50.740-540, Recife (PE), Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023095669","display_name":"Francisco Jos\u00e9 A. Cysneiros","orcid":"https://orcid.org/0000-0001-6757-6969"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Francisco Jos\u00e9 A. Cysneiros","raw_affiliation_strings":["Informatics Center, Federal University of Pernambuco, P.O.Box 7851, 50.740-540, Recife (PE), Brazil"],"affiliations":[{"raw_affiliation_string":"Informatics Center, Federal University of Pernambuco, P.O.Box 7851, 50.740-540, Recife (PE), Brazil","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112844298"],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2894,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54189694,"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":"19","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9825999736785889,"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/T10320","display_name":"Neural Networks and Applications","score":0.9825999736785889,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9642999768257141,"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/T14351","display_name":"Statistical and Computational Modeling","score":0.948199987411499,"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/outlier","display_name":"Outlier","score":0.9027310609817505},{"id":"https://openalex.org/keywords/symbolic-data-analysis","display_name":"Symbolic data analysis","score":0.791257381439209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6970713138580322},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.6357676386833191},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.6041672229766846},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6025479435920715},{"id":"https://openalex.org/keywords/interval-data","display_name":"Interval data","score":0.5764096975326538},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5115683674812317},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.47980645298957825},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47611910104751587},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.44614285230636597},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4253506660461426},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.41220223903656006},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33742308616638184},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27121758460998535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.245720773935318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2280483841896057},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15211129188537598},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14200052618980408}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.9027310609817505},{"id":"https://openalex.org/C65620979","wikidata":"https://www.wikidata.org/wiki/Q7661176","display_name":"Symbolic data analysis","level":2,"score":0.791257381439209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6970713138580322},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.6357676386833191},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.6041672229766846},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6025479435920715},{"id":"https://openalex.org/C2983220686","wikidata":"https://www.wikidata.org/wiki/Q951437","display_name":"Interval data","level":3,"score":0.5764096975326538},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5115683674812317},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.47980645298957825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47611910104751587},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.44614285230636597},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4253506660461426},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.41220223903656006},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33742308616638184},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27121758460998535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.245720773935318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2280483841896057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15211129188537598},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14200052618980408},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.0},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-03040-6_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-03040-6_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W62504723","https://openalex.org/W1482555119","https://openalex.org/W1587515898","https://openalex.org/W2006479345","https://openalex.org/W2093709255","https://openalex.org/W2119981768","https://openalex.org/W2122861691","https://openalex.org/W2188682579","https://openalex.org/W2797532987","https://openalex.org/W4230080154","https://openalex.org/W4230452299","https://openalex.org/W4235500030","https://openalex.org/W4300246981"],"related_works":["https://openalex.org/W3192249123","https://openalex.org/W1486014200","https://openalex.org/W2102430460","https://openalex.org/W4221163786","https://openalex.org/W2594750727","https://openalex.org/W2902751592","https://openalex.org/W2381357315","https://openalex.org/W2095182114","https://openalex.org/W2090248852","https://openalex.org/W2182223804"],"abstract_inverted_index":null,"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
