{"id":"https://openalex.org/W1498139490","doi":"https://doi.org/10.1007/978-3-642-02490-0_121","title":"Practical Approach to Outlier Detection Using Support Vector Regression","display_name":"Practical Approach to Outlier Detection Using Support Vector Regression","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W1498139490","doi":"https://doi.org/10.1007/978-3-642-02490-0_121","mag":"1498139490"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-02490-0_121","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-02490-0_121","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":"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/A5044791691","display_name":"Junya Nishiguchi","orcid":"https://orcid.org/0000-0002-0326-2845"},"institutions":[{"id":"https://openalex.org/I4210126066","display_name":"Azbil (Japan)","ror":"https://ror.org/0316d5p98","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210126066"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Junya Nishiguchi","raw_affiliation_strings":["Yamatake Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yamatake Corporation, Japan","institution_ids":["https://openalex.org/I4210126066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055700292","display_name":"Chosei Kaseda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126066","display_name":"Azbil (Japan)","ror":"https://ror.org/0316d5p98","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210126066"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chosei Kaseda","raw_affiliation_strings":["Yamatake Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yamatake Corporation, Japan","institution_ids":["https://openalex.org/I4210126066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074253379","display_name":"Hirotaka Nakayama","orcid":"https://orcid.org/0000-0003-3879-2931"},"institutions":[{"id":"https://openalex.org/I15991598","display_name":"Konan University","ror":"https://ror.org/059b5pb30","country_code":"JP","type":"education","lineage":["https://openalex.org/I15991598"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirotaka Nakayama","raw_affiliation_strings":["Konan University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Konan University, Japan","institution_ids":["https://openalex.org/I15991598"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Masao Arakawa","orcid":null},"institutions":[{"id":"https://openalex.org/I201933988","display_name":"Kagawa University","ror":"https://ror.org/04j7mzp05","country_code":"JP","type":"education","lineage":["https://openalex.org/I201933988"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masao Arakawa","raw_affiliation_strings":["Kagawa University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kagawa University, Japan","institution_ids":["https://openalex.org/I201933988"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003652393","display_name":"Yeboon Yun","orcid":"https://orcid.org/0000-0001-8694-7219"},"institutions":[{"id":"https://openalex.org/I201933988","display_name":"Kagawa University","ror":"https://ror.org/04j7mzp05","country_code":"JP","type":"education","lineage":["https://openalex.org/I201933988"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yeboon Yun","raw_affiliation_strings":["Kagawa University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kagawa University, Japan","institution_ids":["https://openalex.org/I201933988"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.8744,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72766885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"995","last_page":"1001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9988999962806702,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.9030132293701172},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8041672706604004},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7577605247497559},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5711290240287781},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5681090354919434},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5365763902664185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4853750467300415},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4361920952796936},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4112381041049957},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41111159324645996},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2360551953315735},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13250946998596191},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12302842736244202}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.9030132293701172},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8041672706604004},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7577605247497559},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5711290240287781},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5681090354919434},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5365763902664185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4853750467300415},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4361920952796936},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4112381041049957},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41111159324645996},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2360551953315735},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13250946998596191},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12302842736244202}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-02490-0_121","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-02490-0_121","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":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1627553557","https://openalex.org/W1989184743","https://openalex.org/W2054285876","https://openalex.org/W2093404847","https://openalex.org/W2129249398","https://openalex.org/W2498631646","https://openalex.org/W2808075006","https://openalex.org/W2974238426","https://openalex.org/W3167891112","https://openalex.org/W4229909943","https://openalex.org/W4235178178"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W3006513224","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729","https://openalex.org/W2358152617","https://openalex.org/W2411778156"],"abstract_inverted_index":null,"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
