{"id":"https://openalex.org/W599384242","doi":"https://doi.org/10.1007/s10994-015-5507-y","title":"A decomposition of the outlier detection problem into a set of supervised learning problems","display_name":"A decomposition of the outlier detection problem into a set of supervised learning problems","publication_year":2015,"publication_date":"2015-06-19","ids":{"openalex":"https://openalex.org/W599384242","doi":"https://doi.org/10.1007/s10994-015-5507-y","mag":"599384242"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-015-5507-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-015-5507-y.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-015-5507-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040542771","display_name":"Heiko Paulheim","orcid":"https://orcid.org/0000-0003-4386-8195"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heiko Paulheim","raw_affiliation_strings":["Data and Web Science Group, University of Mannheim, Mannheim, Germany."],"affiliations":[{"raw_affiliation_string":"Data and Web Science Group, University of Mannheim, Mannheim, Germany.","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047915112","display_name":"Robert Meusel","orcid":null},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Meusel","raw_affiliation_strings":["Data and Web Science Group, University of Mannheim, Mannheim, Germany."],"affiliations":[{"raw_affiliation_string":"Data and Web Science Group, University of Mannheim, Mannheim, Germany.","institution_ids":["https://openalex.org/I177802217"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990,"provenance":"doaj"},"apc_paid":null,"fwci":4.119,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":59,"citation_normalized_percentile":{"value":0.999968,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"100","issue":"2-3","first_page":"509","last_page":"531"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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":0.9893,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9873,"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/supervised-learning","display_name":"Supervised Learning","score":0.50804996},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41914636}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.82060754},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7885358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.65651697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6430817},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5495901},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5346327},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.50804996},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44781023},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.44113052},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4245886},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41914636},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14111155},{"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":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-015-5507-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-015-5507-y.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-015-5507-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-015-5507-y.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":41,"referenced_works":["https://openalex.org/W1481232215","https://openalex.org/W149581298","https://openalex.org/W1530232915","https://openalex.org/W1552694902","https://openalex.org/W1564764609","https://openalex.org/W1565746575","https://openalex.org/W1585610988","https://openalex.org/W1592237688","https://openalex.org/W1604714688","https://openalex.org/W1633682760","https://openalex.org/W1814869688","https://openalex.org/W1854866626","https://openalex.org/W1876967670","https://openalex.org/W1963624219","https://openalex.org/W1965755064","https://openalex.org/W1989387183","https://openalex.org/W1990106316","https://openalex.org/W1991357106","https://openalex.org/W1995443851","https://openalex.org/W2019014808","https://openalex.org/W2041184937","https://openalex.org/W2042970816","https://openalex.org/W2045765911","https://openalex.org/W2061122559","https://openalex.org/W2079557269","https://openalex.org/W2099797177","https://openalex.org/W2122646361","https://openalex.org/W2134490011","https://openalex.org/W2135014341","https://openalex.org/W2137130182","https://openalex.org/W2144182447","https://openalex.org/W2144200194","https://openalex.org/W2148583977","https://openalex.org/W2165533158","https://openalex.org/W2211368370","https://openalex.org/W2331052961","https://openalex.org/W2338990760","https://openalex.org/W2500554657","https://openalex.org/W4230927207","https://openalex.org/W4245050711","https://openalex.org/W4254420769"],"related_works":["https://openalex.org/W4230206970","https://openalex.org/W3152110224","https://openalex.org/W2899229695","https://openalex.org/W2359185137","https://openalex.org/W2189033663","https://openalex.org/W2186522517","https://openalex.org/W2172289703","https://openalex.org/W2090668960","https://openalex.org/W2051290323","https://openalex.org/W2030388591"],"abstract_inverted_index":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W599384242","counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-01-08T19:58:56.247816","created_date":"2016-06-24"}