{"id":"https://openalex.org/W4388462796","doi":"https://doi.org/10.1080/01969722.2023.2240647","title":"Improving Landslides Prediction: Meteorological Data Preprocessing Based on Supervised and Unsupervised Learning","display_name":"Improving Landslides Prediction: Meteorological Data Preprocessing Based on Supervised and Unsupervised Learning","publication_year":2023,"publication_date":"2023-11-07","ids":{"openalex":"https://openalex.org/W4388462796","doi":"https://doi.org/10.1080/01969722.2023.2240647"},"language":"en","primary_location":{"id":"doi:10.1080/01969722.2023.2240647","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969722.2023.2240647","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-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/A5044366425","display_name":"Byron Guerrero-Rodr\u00edguez","orcid":"https://orcid.org/0000-0002-6288-4804"},"institutions":[{"id":"https://openalex.org/I141930428","display_name":"Central University of Ecuador","ror":"https://ror.org/010n0x685","country_code":"EC","type":"education","lineage":["https://openalex.org/I141930428"]}],"countries":["EC"],"is_corresponding":true,"raw_author_name":"Byron Guerrero-Rodriguez","raw_affiliation_strings":["Central University of Ecuador, Quito, Ecuador"],"raw_orcid":"https://orcid.org/0000-0002-6288-4804","affiliations":[{"raw_affiliation_string":"Central University of Ecuador, Quito, Ecuador","institution_ids":["https://openalex.org/I141930428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006009511","display_name":"Jaime Salvador\u2013Meneses","orcid":"https://orcid.org/0000-0002-3564-8929"},"institutions":[{"id":"https://openalex.org/I141930428","display_name":"Central University of Ecuador","ror":"https://ror.org/010n0x685","country_code":"EC","type":"education","lineage":["https://openalex.org/I141930428"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Jaime Salvador-Meneses","raw_affiliation_strings":["Central University of Ecuador, Quito, Ecuador"],"raw_orcid":"https://orcid.org/0000-0002-3564-8929","affiliations":[{"raw_affiliation_string":"Central University of Ecuador, Quito, Ecuador","institution_ids":["https://openalex.org/I141930428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079599826","display_name":"Jos\u00e9 Garc\u00eda\u2010Rodr\u00edguez","orcid":"https://orcid.org/0000-0002-7798-3055"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Garcia-Rodriguez","raw_affiliation_strings":["Computers Technology Department, University of Alicante, Alicante, Spain"],"raw_orcid":"https://orcid.org/0000-0002-7798-3055","affiliations":[{"raw_affiliation_string":"Computers Technology Department, University of Alicante, Alicante, Spain","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026794294","display_name":"Christian Mejia-Escobar","orcid":"https://orcid.org/0000-0001-6715-191X"},"institutions":[{"id":"https://openalex.org/I141930428","display_name":"Central University of Ecuador","ror":"https://ror.org/010n0x685","country_code":"EC","type":"education","lineage":["https://openalex.org/I141930428"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Christian Mejia-Escobar","raw_affiliation_strings":["Central University of Ecuador, Quito, Ecuador"],"raw_orcid":"https://orcid.org/0000-0001-6715-191X","affiliations":[{"raw_affiliation_string":"Central University of Ecuador, Quito, Ecuador","institution_ids":["https://openalex.org/I141930428"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044366425"],"corresponding_institution_ids":["https://openalex.org/I141930428"],"apc_list":null,"apc_paid":null,"fwci":1.8668,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88303056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"55","issue":"6","first_page":"1332","last_page":"1356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.8262860774993896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7471683621406555},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5985915660858154},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5981210470199585},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5413361191749573},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5280959010124207},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5158718824386597},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.5110141038894653},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5081243515014648},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.49414780735969543},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.48454681038856506},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4829370379447937},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.47508230805397034},{"id":"https://openalex.org/keywords/hazard","display_name":"Hazard","score":0.4598664939403534},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45580410957336426},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4433528184890747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4365127384662628},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4250236451625824},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36130601167678833},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11551973223686218}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.8262860774993896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7471683621406555},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5985915660858154},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5981210470199585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5413361191749573},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5280959010124207},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5158718824386597},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.5110141038894653},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5081243515014648},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.49414780735969543},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.48454681038856506},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4829370379447937},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.47508230805397034},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.4598664939403534},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45580410957336426},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4433528184890747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4365127384662628},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4250236451625824},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36130601167678833},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11551973223686218},{"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/01969722.2023.2240647","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969722.2023.2240647","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-article"},{"id":"pmh:oai:rua.ua.es:10045/141435","is_oa":false,"landing_page_url":"http://hdl.handle.net/10045/141435","pdf_url":null,"source":{"id":"https://openalex.org/S4306400416","display_name":"Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130194489","host_organization_name":"University of Alicante","host_organization_lineage":["https://openalex.org/I130194489"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.41999998688697815,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1994307947","https://openalex.org/W2058082754","https://openalex.org/W2062403468","https://openalex.org/W2079810998","https://openalex.org/W2138792400","https://openalex.org/W2158703410","https://openalex.org/W2549738792","https://openalex.org/W2559777733","https://openalex.org/W2599500356","https://openalex.org/W2979806575","https://openalex.org/W2981581709","https://openalex.org/W2984020251","https://openalex.org/W2988636483","https://openalex.org/W3002134338","https://openalex.org/W3004932743","https://openalex.org/W3005068726","https://openalex.org/W3005358466","https://openalex.org/W3010757542","https://openalex.org/W3014673353","https://openalex.org/W3015779580","https://openalex.org/W3016556330","https://openalex.org/W3016783535","https://openalex.org/W3024644232","https://openalex.org/W3030992380","https://openalex.org/W3032913569","https://openalex.org/W3033772434","https://openalex.org/W3034300825","https://openalex.org/W3035144744","https://openalex.org/W3036091573","https://openalex.org/W3036700357","https://openalex.org/W3036885790","https://openalex.org/W3040491274","https://openalex.org/W3043578023","https://openalex.org/W3047716981","https://openalex.org/W3089716123","https://openalex.org/W3091882851","https://openalex.org/W3109171118"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W3092506759","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W3195278891"],"abstract_inverted_index":{"The":[0,37],"hazard":[1],"of":[2,28,43,85,93,143],"landslides":[3,33],"has":[4],"been":[5],"demonstrated":[6],"over":[7],"time":[8,70],"with":[9,118,135],"numerous":[10],"events":[11],"causing":[12],"damage":[13],"to":[14,49,56,105,170],"human":[15],"lives":[16,196],"and":[17,64,78,96,114,122,146,156,197],"high":[18],"material":[19],"costs.":[20],"Several":[21],"previous":[22],"studies":[23],"have":[24],"shown":[25],"that":[26],"one":[27],"the":[29,41,60,83,90,106,140,144,164],"predominant":[30],"factors":[31],"in":[32,69],"is":[34,103,176,184],"intensive":[35],"rainfall.":[36],"present":[38],"work":[39],"proposes":[40],"use":[42,110,183],"data":[44,66],"generated":[45],"by":[46,133,178],"weather":[47],"stations":[48],"predict":[50],"landslides.":[51],"We":[52,109],"give":[53],"special":[54],"treatment":[55],"precipitation":[57],"information":[58],"as":[59,120],"most":[61],"influential":[62],"factor":[63],"whose":[65],"are":[67],"accumulated":[68],"windows":[71],"(3,":[72],"5,":[73],"7,":[74],"10,":[75],"15,":[76],"20,":[77],"30":[79],"days)":[80],"looking":[81],"for":[82,149,153,158,188],"persistence":[84],"meteorological":[86,107,180],"conditions.":[87],"To":[88,162],"optimize":[89],"dataset":[91],"composed":[92],"geological,":[94],"geomorphological,":[95],"climatological":[97],"data,":[98],"a":[99,166,185],"feature":[100,112],"selection":[101],"process":[102],"applied":[104],"variables.":[108],"filter-based":[111],"ranking":[113],"Self-Organizing":[115],"Map":[116],"(SOM)":[117],"Clustering":[119],"supervised":[121],"unsupervised":[123],"machine":[124],"learning":[125],"techniques,":[126],"respectively.":[127],"This":[128],"contribution":[129],"was":[130,173],"successfully":[131],"verified":[132],"experimenting":[134],"different":[136],"classification":[137],"models,":[138],"improving":[139],"test":[141],"accuracy":[142],"prediction,":[145],"obtaining":[147],"99.29%":[148],"Multilayer":[150],"Perceptron,":[151],"96.80%":[152],"Random":[154],"Forest,":[155],"88.79%":[157],"Support":[159],"Vector":[160],"Machine.":[161],"validate":[163],"proposal,":[165],"geographical":[167],"area":[168],"sensitive":[169],"this":[171],"phenomenon":[172],"selected,":[174],"which":[175],"monitored":[177],"several":[179],"stations.":[181],"Practical":[182],"valuable":[186],"tool":[187],"risk":[189],"management":[190],"decision":[191],"making,":[192],"can":[193],"help":[194],"save":[195],"reduce":[198],"economic":[199],"losses.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2025-10-10T00:00:00"}
