乐胖代购免代理版

{"id":"https://openalex.org/W4383426107","doi":"https://doi.org/10.1007/978-3-031-37228-5_1","title":"On Kernel Search Based Gaussian Process Anomaly Detection","display_name":"On Kernel Search Based Gaussian Process Anomaly Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4383426107","doi":"https://doi.org/10.1007/978-3-031-37228-5_1"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-37228-5_1","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"book-chapter","type_crossref":"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/A5015859134","display_name":"Jan David H\u00fcwel","orcid":"https://orcid.org/0000-0003-4133-6232"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"funder","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jan David H\u00fcwel","raw_affiliation_strings":["Department of Computer Science, University of M\u00fcnster, M\u00fcnster, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of M\u00fcnster, M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019755590","display_name":"Andreas Besginow","orcid":"https://orcid.org/0000-0002-5685-0595"},"institutions":[{"id":"https://openalex.org/I5209920","display_name":"Ostwestfalen-Lippe University of Applied Sciences and Arts","ror":"https://ror.org/04eka8j06","country_code":"DE","type":"education","lineage":["https://openalex.org/I5209920"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Besginow","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, OWL University of Applied Sciences and Arts, Lemgo, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, OWL University of Applied Sciences and Arts, Lemgo, Germany","institution_ids":["https://openalex.org/I5209920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051937514","display_name":"Fabian Berns","orcid":"https://orcid.org/0000-0002-7033-3789"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"funder","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabian Berns","raw_affiliation_strings":["Department of Computer Science, University of M\u00fcnster, M\u00fcnster, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of M\u00fcnster, M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048583024","display_name":"Markus Lange\u2010Hegermann","orcid":"https://orcid.org/0000-0002-5327-4529"},"institutions":[{"id":"https://openalex.org/I5209920","display_name":"Ostwestfalen-Lippe University of Applied Sciences and Arts","ror":"https://ror.org/04eka8j06","country_code":"DE","type":"education","lineage":["https://openalex.org/I5209920"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Lange-Hegermann","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, OWL University of Applied Sciences and Arts, Lemgo, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, OWL University of Applied Sciences and Arts, Lemgo, Germany","institution_ids":["https://openalex.org/I5209920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039809923","display_name":"Christian Beecks","orcid":null},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"funder","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Beecks","raw_affiliation_strings":["Department of Computer Science, University of M\u00fcnster, M\u00fcnster, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of M\u00fcnster, M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015859134"],"corresponding_institution_ids":["https://openalex.org/I22465464"],"apc_list":null,"apc_paid":null,"fwci":0.901,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.673683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":65,"max":76},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9999,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9999,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9983,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9804,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7976324},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.63708526},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.59811664},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.5650182}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8360772},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7976324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.65608567},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.63708526},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.59811664},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5830077},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.57437843},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.5650182},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46864933},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.46486315},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44926473},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.43048286},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41021213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3450833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32872933},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24186379},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23204425},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.13847327},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.094104916},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06335157},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-37228-5_1","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.63,"id":"https://metadata.un.org/sdg/9"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":40,"referenced_works":["https://openalex.org/W1554085250","https://openalex.org/W1950803081","https://openalex.org/W1957718552","https://openalex.org/W1985560513","https://openalex.org/W2059173847","https://openalex.org/W2073470720","https://openalex.org/W2103414007","https://openalex.org/W2121947440","https://openalex.org/W2122646361","https://openalex.org/W2132870739","https://openalex.org/W2152701363","https://openalex.org/W2296719434","https://openalex.org/W2337344967","https://openalex.org/W2529018603","https://openalex.org/W2552475543","https://openalex.org/W2782812883","https://openalex.org/W2810032703","https://openalex.org/W2890235427","https://openalex.org/W2902758299","https://openalex.org/W2904810679","https://openalex.org/W2911200746","https://openalex.org/W2963061824","https://openalex.org/W2963223306","https://openalex.org/W2987228832","https://openalex.org/W2987821246","https://openalex.org/W3024307936","https://openalex.org/W3081229243","https://openalex.org/W3089549862","https://openalex.org/W3094552456","https://openalex.org/W3103188483","https://openalex.org/W3106543020","https://openalex.org/W3117771131","https://openalex.org/W3160823469","https://openalex.org/W3198292752","https://openalex.org/W3200258828","https://openalex.org/W3203878038","https://openalex.org/W4211049957","https://openalex.org/W4235169531","https://openalex.org/W4235295823","https://openalex.org/W4254182148"],"related_works":["https://openalex.org/W2945942189","https://openalex.org/W2886736558","https://openalex.org/W2384408398","https://openalex.org/W2183680581","https://openalex.org/W2170391517","https://openalex.org/W2155899303","https://openalex.org/W2142075636","https://openalex.org/W2099577980","https://openalex.org/W2076520961","https://openalex.org/W1525322161"],"abstract_inverted_index":null,"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4383426107","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-04-15T19:27:58.220447","created_date":"2023-07-07"}