{"id":"https://openalex.org/W119375112","doi":"https://doi.org/10.1007/s10994-010-5184-9","title":"Machine learning algorithms for event detection","display_name":"Machine learning algorithms for event detection","publication_year":2010,"publication_date":"2010-04-22","ids":{"openalex":"https://openalex.org/W119375112","doi":"https://doi.org/10.1007/s10994-010-5184-9","mag":"119375112"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-010-5184-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-010-5184-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-010-5184-9.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/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-010-5184-9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019810653","display_name":"Dragos D. Margineantu","orcid":null},"institutions":[{"id":"https://openalex.org/I1295339012","display_name":"Boeing (United States)","ror":"https://ror.org/04sm5zn07","country_code":"US","type":"company","lineage":["https://openalex.org/I1295339012"]},{"id":"https://openalex.org/I4210092639","display_name":"Boeing (Spain)","ror":"https://ror.org/00fxnmt68","country_code":"ES","type":"company","lineage":["https://openalex.org/I1295339012","https://openalex.org/I4210092639"]},{"id":"https://openalex.org/I4210115859","display_name":"Behavioral Tech Research, Inc.","ror":"https://ror.org/02843s885","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210115859"]}],"countries":["ES","US"],"is_corresponding":true,"raw_author_name":"Dragos Margineantu","raw_affiliation_strings":["Boeing Research & Technology, Seattle, WA, USA","Boeing Research & Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boeing Research & Technology, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210115859","https://openalex.org/I1295339012"]},{"raw_affiliation_string":"Boeing Research & Technology","institution_ids":["https://openalex.org/I4210092639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066210234","display_name":"Weng\u2010Keen Wong","orcid":"https://orcid.org/0000-0002-6673-343X"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weng-Keen Wong","raw_affiliation_strings":["Oregon State University, Corvallis, OR, USA","Oregon State University>"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oregon State University, Corvallis, OR, USA","institution_ids":["https://openalex.org/I131249849"]},{"raw_affiliation_string":"Oregon State University>","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103680007","display_name":"Denver Dash","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Denver Dash","raw_affiliation_strings":["Intel Labs, Pittsburgh, PA, USA","Intel Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Labs, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Intel Labs","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019810653"],"corresponding_institution_ids":["https://openalex.org/I1295339012","https://openalex.org/I4210092639","https://openalex.org/I4210115859"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.9325,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.79037227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"79","issue":"3","first_page":"257","last_page":"259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9979000091552734,"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":0.9979000091552734,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9786999821662903,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7285885810852051},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6531379222869873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6187973022460938},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5951260924339294},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5510851740837097},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5438708066940308},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5276628732681274},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4508990943431854},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41859641671180725},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09950470924377441}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7285885810852051},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6531379222869873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6187973022460938},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5951260924339294},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5510851740837097},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5438708066940308},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5276628732681274},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4508990943431854},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41859641671180725},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09950470924377441},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-010-5184-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-010-5184-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-010-5184-9.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/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-010-5184-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-010-5184-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-010-5184-9.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/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W119375112.pdf","grobid_xml":"https://content.openalex.org/works/W119375112.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W2087337791","https://openalex.org/W2087751936","https://openalex.org/W2130044234","https://openalex.org/W2148635136"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4205958290","https://openalex.org/W4384212932","https://openalex.org/W2548721895","https://openalex.org/W2368454205","https://openalex.org/W2373456246","https://openalex.org/W2354233396"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}