{"id":"https://openalex.org/W7130651761","doi":"https://doi.org/10.1007/978-3-032-15535-1_8","title":"Unsupervised Feature Construction for\u00a0Time Series Anomaly Detection - An Evaluation","display_name":"Unsupervised Feature Construction for\u00a0Time Series Anomaly Detection - An Evaluation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7130651761","doi":"https://doi.org/10.1007/978-3-032-15535-1_8"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-15535-1_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-15535-1_8","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/A5126486745","display_name":"Marine Hamon","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marine Hamon","raw_affiliation_strings":["Orange Research Lannion, Ch\u00e2tillon et Meylan, France","Universit\u00e9 de Rennes, Rennes, France"],"affiliations":[{"raw_affiliation_string":"Orange Research Lannion, Ch\u00e2tillon et Meylan, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"Universit\u00e9 de Rennes, Rennes, France","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027190882","display_name":"Vincent Lemaire","orcid":"https://orcid.org/0000-0002-0433-7722"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincent Lemaire","raw_affiliation_strings":["Orange Innovation, Lannion, France","Orange Research Lannion, Ch\u00e2tillon et Meylan, France"],"affiliations":[{"raw_affiliation_string":"Orange Innovation, Lannion, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"Orange Research Lannion, Ch\u00e2tillon et Meylan, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115902591","display_name":"Nour Eddine Yassine Nair-Benrekia","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Nour Eddine Yassine Nair-Benrekia","raw_affiliation_strings":["Orange Research Lannion, Ch\u00e2tillon et Meylan, France"],"affiliations":[{"raw_affiliation_string":"Orange Research Lannion, Ch\u00e2tillon et Meylan, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004634292","display_name":"Samuel Berlemont","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Samuel Berlemont","raw_affiliation_strings":["Orange Research Lannion, Ch\u00e2tillon et Meylan, France"],"affiliations":[{"raw_affiliation_string":"Orange Research Lannion, Ch\u00e2tillon et Meylan, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061520351","display_name":"Julien Cumin","orcid":"https://orcid.org/0000-0001-8846-5547"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Julien Cumin","raw_affiliation_strings":["Orange Research Lannion, Ch\u00e2tillon et Meylan, France"],"affiliations":[{"raw_affiliation_string":"Orange Research Lannion, Ch\u00e2tillon et Meylan, France","institution_ids":["https://openalex.org/I19370010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5115902591"],"corresponding_institution_ids":["https://openalex.org/I19370010"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.81286772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"120","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9628000259399414,"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":0.9628000259399414,"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":0.023399999365210533,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.8141000270843506},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6877999901771545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.61080002784729},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5529999732971191},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5304999947547913},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5282999873161316},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5073999762535095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8500999808311462},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8141000270843506},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6877999901771545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6818000078201294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.61080002784729},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5529999732971191},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5304999947547913},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5282999873161316},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5073999762535095},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49939998984336853},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4918000102043152},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4392000138759613},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.4187999963760376},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40400001406669617},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4032000005245209},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3792000114917755},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.36250001192092896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28780001401901245}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-15535-1_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-15535-1_8","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1857789879","https://openalex.org/W2026493302","https://openalex.org/W2122646361","https://openalex.org/W2144182447","https://openalex.org/W2158698691","https://openalex.org/W2182353144","https://openalex.org/W2184801043","https://openalex.org/W2296719434","https://openalex.org/W2464824110","https://openalex.org/W2765753848","https://openalex.org/W2802314367","https://openalex.org/W2807587809","https://openalex.org/W2948517885","https://openalex.org/W2967988901","https://openalex.org/W3012149977","https://openalex.org/W3012919764","https://openalex.org/W3136173905","https://openalex.org/W3155567600","https://openalex.org/W3172773436","https://openalex.org/W3199473923","https://openalex.org/W4283324222","https://openalex.org/W4285183459","https://openalex.org/W4288057688","https://openalex.org/W4311080259","https://openalex.org/W4328022249","https://openalex.org/W4385488713","https://openalex.org/W4406459630"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-02-21T06:11:54.161237","created_date":"2026-02-20T00:00:00"}