{"id":"https://openalex.org/W2808863896","doi":"https://doi.org/10.1145/3206098.3206126","title":"Application of GA-SVM for County Ecological Security Prediction of Land Resources","display_name":"Application of GA-SVM for County Ecological Security Prediction of Land Resources","publication_year":2018,"publication_date":"2018-04-09","ids":{"openalex":"https://openalex.org/W2808863896","doi":"https://doi.org/10.1145/3206098.3206126","mag":"2808863896"},"language":"en","primary_location":{"id":"doi:10.1145/3206098.3206126","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3206098.3206126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Information System and Data Mining","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":null,"display_name":"Zhao Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhao Jing","raw_affiliation_strings":["Xi'an University of Technology, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Technology, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000178845","display_name":"Ziru Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Ziru","raw_affiliation_strings":["Xi'an University of Technology, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Technology, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04825807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"131","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13909","display_name":"Environmental Quality and Pollution","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T13909","display_name":"Environmental Quality and Pollution","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9940000176429749,"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"}},{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/support-vector-machine","display_name":"Support vector machine","score":0.8111844062805176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6171886324882507},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4604294002056122},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4481911063194275},{"id":"https://openalex.org/keywords/urbanization","display_name":"Urbanization","score":0.4347335994243622},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.42576563358306885},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3999336361885071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3574214279651642},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.2525031566619873}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8111844062805176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6171886324882507},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4604294002056122},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4481911063194275},{"id":"https://openalex.org/C39853841","wikidata":"https://www.wikidata.org/wiki/Q161078","display_name":"Urbanization","level":2,"score":0.4347335994243622},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.42576563358306885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3999336361885071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3574214279651642},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.2525031566619873},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3206098.3206126","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3206098.3206126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Information System and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1569047636","https://openalex.org/W1982178440","https://openalex.org/W1983023737","https://openalex.org/W2002709434","https://openalex.org/W2012070465","https://openalex.org/W2058294106","https://openalex.org/W2064816673","https://openalex.org/W2066831643","https://openalex.org/W2095290779","https://openalex.org/W2105382646","https://openalex.org/W2119821739","https://openalex.org/W2123922279","https://openalex.org/W2134673975","https://openalex.org/W2137746038","https://openalex.org/W2137951483","https://openalex.org/W2153635508","https://openalex.org/W2158994553","https://openalex.org/W2286309848"],"related_works":["https://openalex.org/W2392907783","https://openalex.org/W1985072978","https://openalex.org/W891751532","https://openalex.org/W2375489112","https://openalex.org/W2370838374","https://openalex.org/W4224922629","https://openalex.org/W2113981829","https://openalex.org/W4384470695","https://openalex.org/W3134840015","https://openalex.org/W4366979180"],"abstract_inverted_index":{"Ecological":[0],"security":[1,33,45,73,156,196],"prediction":[2,34,46,193],"of":[3,13,19,22,43,47,71,74,86,89,100,127,154,157,194,197],"land":[4,14,48,75,158,198],"resources":[5,15,49,159],"play":[6],"an":[7],"important":[8],"role":[9],"in":[10,24,102,114],"sustainable":[11],"utilization":[12],"and":[16,55,146,181],"improve":[17,96],"benefit":[18],"healthy":[20],"development":[21],"urbanization":[23],"China.":[25],"So":[26],"far,":[27],"many":[28],"methods":[29],"for":[30,191],"regional":[31],"ecological":[32,44,72,155,195],"have":[35],"been":[36],"proposed.":[37],"According":[38],"to":[39,66,95,110],"the":[40,68,78,83,87,90,97,115,151,165,192],"county":[41,69,152],"level":[42,70,153],"data":[50],"which":[51],"is":[52,186],"large":[53],"scale":[54],"imbalance,":[56],"this":[57],"paper":[58],"presented":[59],"a":[60,104,123,131,187],"support":[61],"vector":[62],"machine":[63],"(SVM)":[64],"model":[65,185],"predict":[67],"resources.":[76,199],"However,":[77],"performance":[79],"strongly":[80],"depends":[81],"on":[82,174],"right":[84],"selection":[85],"parameters":[88,113],"SVM":[91,101,112,167],"model.":[92],"In":[93],"order":[94],"discrimination":[98],"precision":[99],"prediction,":[103],"Genetic":[105],"Algorithm":[106],"(GA)":[107],"was":[108,135,168],"used":[109],"optimize":[111],"solution":[116],"space.":[117],"We":[118],"selected":[119],"Guanzhong":[120],"urban":[121,125],"agglomeration,":[122],"typical":[124],"agglomeration":[126],"west":[128],"China,":[129],"as":[130],"case.":[132],"The":[133,161],"method":[134],"compared":[136],"with":[137],"SVM,":[138],"artificial":[139],"neural":[140],"network,":[141],"decision":[142],"tree,":[143],"logistic":[144],"regression":[145],"naive":[147],"Bayesian":[148],"classifier":[149],"regarding":[150],"prediction.":[160],"result":[162],"shows":[163],"that":[164],"improved":[166],"much":[169],"better":[170],"than":[171],"other":[172],"models":[173],"accuracy":[175],"rate,":[176,178],"hit":[177],"covering":[179],"rate":[180],"lift":[182],"coefficient.":[183],"GA-SVM":[184],"potential":[188],"effective":[189],"candidate":[190]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}