{"id":"https://openalex.org/W3005781835","doi":"https://doi.org/10.1109/icsrs48664.2019.8987667","title":"Systems Modeling Using Big Data Analysis Techniques and Evidence","display_name":"Systems Modeling Using Big Data Analysis Techniques and Evidence","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3005781835","doi":"https://doi.org/10.1109/icsrs48664.2019.8987667","mag":"3005781835"},"language":"en","primary_location":{"id":"doi:10.1109/icsrs48664.2019.8987667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs48664.2019.8987667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","raw_type":"proceedings-article"},"type":"article","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/A5033561750","display_name":"Sebastian T. Glavind","orcid":"https://orcid.org/0000-0003-1993-5124"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Sebastian T. Glavind","raw_affiliation_strings":["Department of Civil Engineering, Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113778096","display_name":"Juan G. Sep\u00falveda","orcid":null},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Juan G. Sepulveda","raw_affiliation_strings":["Department of Civil Engineering, Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061258940","display_name":"Jianjun Qin","orcid":"https://orcid.org/0000-0001-7109-0398"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jianjun Qin","raw_affiliation_strings":["Department of Civil Engineering, Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112470925","display_name":"Michael Havbro Faber","orcid":"https://orcid.org/0000-0003-3761-0737"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Michael H. Faber","raw_affiliation_strings":["Department of Civil Engineering, Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033561750"],"corresponding_institution_ids":["https://openalex.org/I891191580"],"apc_list":null,"apc_paid":null,"fwci":0.6635,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78252415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"51","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11874","display_name":"Structural Response to Dynamic Loads","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6996491551399231},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6957992911338806},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6858748197555542},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5835725665092468},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5487502217292786},{"id":"https://openalex.org/keywords/probabilistic-analysis-of-algorithms","display_name":"Probabilistic analysis of algorithms","score":0.4768318235874176},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.42620986700057983},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3969145715236664},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34756696224212646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25489330291748047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24105888605117798},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22532838582992554},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18278607726097107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6996491551399231},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6957992911338806},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6858748197555542},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5835725665092468},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5487502217292786},{"id":"https://openalex.org/C24404364","wikidata":"https://www.wikidata.org/wiki/Q7246846","display_name":"Probabilistic analysis of algorithms","level":3,"score":0.4768318235874176},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.42620986700057983},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3969145715236664},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34756696224212646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25489330291748047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24105888605117798},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22532838582992554},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18278607726097107},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icsrs48664.2019.8987667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs48664.2019.8987667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/7406711f-ef30-42a5-b6ed-658f8beedd98","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/7406711f-ef30-42a5-b6ed-658f8beedd98","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Glavind , S T , Astudillo , J G S , Qin , J &amp; Faber , M H 2019 , Systems Modeling Using Big Data Analysis Techniques and Evidence . in 2019 4th International Conference on System Reliability and Safety (ICSRS) . IEEE , pp. 51-59 , 2019 4th International Conference On System Reliability and Safety (ICSRS) , Rom , Italy , 20/11/2019 . https://doi.org/10.1109/ICSRS48664.2019.8987667","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W97586963","https://openalex.org/W100464641","https://openalex.org/W999207820","https://openalex.org/W1523740859","https://openalex.org/W1538934584","https://openalex.org/W1884111920","https://openalex.org/W2001621003","https://openalex.org/W2002661807","https://openalex.org/W2006119478","https://openalex.org/W2016493615","https://openalex.org/W2079604837","https://openalex.org/W2088105709","https://openalex.org/W2109820980","https://openalex.org/W2159555138","https://openalex.org/W2168175751","https://openalex.org/W2342207785","https://openalex.org/W2342500502","https://openalex.org/W2519132385","https://openalex.org/W2596151864","https://openalex.org/W2950828284","https://openalex.org/W3011730451","https://openalex.org/W4212863985","https://openalex.org/W4214694104","https://openalex.org/W4241621308","https://openalex.org/W4244846356"],"related_works":["https://openalex.org/W830096938","https://openalex.org/W2109606716","https://openalex.org/W2030292806","https://openalex.org/W2189202191","https://openalex.org/W2177346860","https://openalex.org/W2145856894","https://openalex.org/W1603360336","https://openalex.org/W2903940728","https://openalex.org/W2494523064","https://openalex.org/W2943623134"],"abstract_inverted_index":{"In":[0],"the":[1,4,18,37,40,56,73,85,92,107,122,132,146,165,184,204,208,211,221,227,231,251,265,268],"present":[2],"contribution,":[3],"potentials":[5],"of":[6,9,20,39,59,72,78,84,112,121,134,168,172,201,207,210,253,267],"utilizing":[7],"techniques":[8,189],"big":[10,187],"data":[11,188],"analysis":[12,58,63],"as":[13,96],"a":[14,31,69,118,160,173],"means":[15],"to":[16,67,81,116,194,216,225,244],"improve":[17],"understanding":[19],"complex":[21],"probabilistic":[22,32,57,166,205],"system":[23,41,228,232,269],"representations":[24],"are":[25,100,114,128,152,178],"investigated.":[26],"It":[27,180],"is":[28,34,51,64,157,181,239],"assumed":[29],"that":[30,44,106,186,260],"model":[33,226,246],"available":[35,52],"for":[36,55,130],"representation":[38,71,120],"performances":[42,83,171,209],"and":[43,53,136,145,213,233],"an":[45],"adequate":[46],"Monte":[47,74,108],"Carlo":[48,75,109],"simulation":[49],"technique":[50],"applied":[54,66,193],"these.":[60],"Model-based":[61],"clustering":[62],"then":[65],"establish":[68,117],"visual":[70],"simulated":[76,93,110],"scenarios":[77,111,200],"events":[79,90,113,202],"leading":[80],"different":[82],"considered":[86,123],"system.":[87],"Various":[88],"conditioning":[89],"on":[91,159,198],"scenarios,":[94],"such":[95],"specific":[97],"failure":[98],"events,":[99],"readily":[101,191],"introduced":[102],"by":[103],"sorting.":[104],"Assuming":[105],"utilized":[115],"surrogate":[119],"system,":[124,212],"variance":[125],"based":[126],"sensitivities":[127],"derived":[129],"both":[131],"case":[133],"independent":[135],"dependent":[137],"random":[138,222],"variables.":[139],"To":[140],"this":[141],"end,":[142],"so-called":[143],"ANOVA":[144],"very":[147],"recently":[148],"formulated":[149],"ANCOVA":[150],"decomposition's":[151],"applied.":[153],"The":[154,237],"proposed":[155],"scheme":[156],"illustrated":[158],"simple":[161],"example":[162,185],"in":[163,230,250],"which":[164,199],"characteristics":[167,206,259],"non-linear":[169],"structural":[170,254],"moment":[174],"resisting":[175],"frame":[176],"structure":[177],"considered.":[179],"seen":[182],"from":[183],"may":[190],"be":[192,271],"provide":[195],"significant":[196,262],"insights":[197],"govern":[203],"with":[214,220],"respect":[215],"how":[217],"uncertainties":[218],"associated":[219],"variables":[223],"used":[224],"propagate":[229],"affect":[234],"its":[235],"responses.":[236],"latter":[238],"especially":[240],"useful":[241],"when":[242],"aiming":[243],"reduce":[245],"complexity,":[247],"but":[248],"also":[249],"context":[252],"health":[255],"monitoring":[256],"where":[257],"response":[258],"contain":[261],"information":[263],"about":[264],"state":[266],"must":[270],"identified.":[272]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
