{"id":"https://openalex.org/W2895876583","doi":"https://doi.org/10.1109/access.2018.2874440","title":"Optimizing Failure Prediction Time Windows Through Genetic Algorithms and Random Forests","display_name":"Optimizing Failure Prediction Time Windows Through Genetic Algorithms and Random Forests","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2895876583","doi":"https://doi.org/10.1109/access.2018.2874440","mag":"2895876583"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2874440","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2874440","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2874440","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082621006","display_name":"J. Gonz\u00e1lez","orcid":"https://orcid.org/0000-0003-3408-7143"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Manuel Navarro Gonzalez","raw_affiliation_strings":["Departamento de Ingenier\u00eda de Sistemas Telem\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0003-3408-7143","affiliations":[{"raw_affiliation_string":"Departamento de Ingenier\u00eda de Sistemas Telem\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101839805","display_name":"Javier Jim\u00e9nez","orcid":"https://orcid.org/0000-0001-5683-6403"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Javier Andion Jimenez","raw_affiliation_strings":["Departamento de Ingenier\u00eda de Sistemas Telem\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Ingenier\u00eda de Sistemas Telem\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036595553","display_name":"Juan Carlos Due\u00f1as L\u00f3pez","orcid":null},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan Carlos Duenas Lopez","raw_affiliation_strings":["Departamento de Ingenier\u00eda de Sistemas Telem\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Ingenier\u00eda de Sistemas Telem\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I88060688"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5069,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74495737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"58307","last_page":"58323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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":0.9993000030517578,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.8586207628250122},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7125979661941528},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6267184615135193},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5725426077842712},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5540611743927002},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5274646282196045},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4851880669593811},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47967004776000977},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4393526613712311},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4334472119808197},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3950437009334564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8586207628250122},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7125979661941528},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6267184615135193},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5725426077842712},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5540611743927002},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5274646282196045},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4851880669593811},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47967004776000977},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4393526613712311},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4334472119808197},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3950437009334564},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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":2,"locations":[{"id":"doi:10.1109/access.2018.2874440","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2874440","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f694b6ad265e43c2848ca2e5916df45e","is_oa":true,"landing_page_url":"https://doaj.org/article/f694b6ad265e43c2848ca2e5916df45e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 58307-58323 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2874440","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2874440","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G2458029505","display_name":null,"funder_award_id":"FPU 14/03209","funder_id":"https://openalex.org/F4320321764","funder_display_name":"Ministerio de Educaci\u00f3n, Cultura y Deporte"}],"funders":[{"id":"https://openalex.org/F4320321764","display_name":"Ministerio de Educaci\u00f3n, Cultura y Deporte","ror":"https://ror.org/03nc27g21"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W200983080","https://openalex.org/W429766147","https://openalex.org/W1488883378","https://openalex.org/W1622035374","https://openalex.org/W1780225521","https://openalex.org/W1965751562","https://openalex.org/W1966395780","https://openalex.org/W1983692532","https://openalex.org/W1986490585","https://openalex.org/W1987454953","https://openalex.org/W2010538021","https://openalex.org/W2011023286","https://openalex.org/W2017812666","https://openalex.org/W2019687608","https://openalex.org/W2026493302","https://openalex.org/W2047627188","https://openalex.org/W2060113410","https://openalex.org/W2108604074","https://openalex.org/W2123883612","https://openalex.org/W2125283600","https://openalex.org/W2141676918","https://openalex.org/W2142812297","https://openalex.org/W2154025470","https://openalex.org/W2158698691","https://openalex.org/W2164463086","https://openalex.org/W2214658311","https://openalex.org/W2274346623","https://openalex.org/W2279180875","https://openalex.org/W2318802957","https://openalex.org/W2343648755","https://openalex.org/W2472162172","https://openalex.org/W2529722711","https://openalex.org/W2533869535","https://openalex.org/W2534437297","https://openalex.org/W2540007442","https://openalex.org/W2555924706","https://openalex.org/W2606759007","https://openalex.org/W2911964244","https://openalex.org/W6629153083","https://openalex.org/W6720745930","https://openalex.org/W6736732120"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W2390901981","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W3135126032","https://openalex.org/W2109115373","https://openalex.org/W4308716060","https://openalex.org/W4280648719"],"abstract_inverted_index":{"Failure":[0],"prediction":[1],"is":[2,18,48],"a":[3,49,66,71,79,114,122],"key":[4],"component":[5],"of":[6,65],"modern":[7],"autonomic":[8],"systems.":[9],"A":[10],"crucial":[11],"decision":[12,47],"to":[13,22,26,42],"take":[14],"when":[15],"performing":[16],"it":[17,100],"which":[19,77],"observation":[20,82],"window":[21,83],"use,":[23],"this":[24,46,59],"is,":[25],"decide":[27],"the":[28,32,63,96,137],"time":[29,139],"period":[30],"in":[31,40],"past":[33],"that":[34,85,127,132],"will":[35],"be":[36],"taken":[37],"into":[38],"account":[39],"order":[41],"accurately":[43],"predict.":[44],"Currently,":[45],"highly":[50],"manual":[51],"process,":[52],"dependent":[53],"on":[54,95],"expert":[55],"knowledge.":[56],"To":[57],"alleviate":[58],"problem,":[60],"we":[61],"propose":[62],"usage":[64],"customized":[67],"genetic":[68],"algorithm":[69,129],"alongside":[70],"machine":[72],"learning":[73],"technique,":[74],"random":[75],"forests,":[76],"optimizes":[78],"novel,":[80],"multiple":[81],"schemes":[84,93],"allows":[86],"for":[87],"more":[88],"modeling":[89],"complexity":[90],"than":[91],"other":[92],"present":[94],"literature.":[97],"We":[98,125],"validate":[99],"using":[101],"ten":[102],"different":[103],"events":[104],"extracted":[105],"from":[106,113,121],"two":[107],"real,":[108],"industrial":[109],"data":[110],"sets:":[111],"one":[112,120],"high":[115],"performance":[116,134],"computing":[117],"environment":[118],"and":[119],"computer":[123],"network.":[124],"show":[126],"our":[128],"creates":[130],"models":[131],"optimize":[133],"while":[135],"reducing":[136],"observed":[138],"automatically":[140],"with":[141],"minimal":[142],"user":[143],"input":[144],"required.":[145]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}