{"id":"https://openalex.org/W2345609030","doi":null,"title":"Computational Intelligence and Data Mining Techniques Using the Fire Data Set","display_name":"Computational Intelligence and Data Mining Techniques Using the Fire Data Set","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2345609030","mag":"2345609030"},"language":"en","primary_location":{"id":"pmh:oai:etd.ohiolink.edu:bgsu1460129796","doi":null,"is_oa":true,"landing_page_url":"http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1460129796","pdf_url":"https://etd.ohiolink.edu/acprod/odb_etd/ws/send_file/send?accession=bgsu1460129796&disposition=inline","source":{"id":"https://openalex.org/S4377196344","display_name":"OhioLink ETD Center (Ohio Library and Information Network)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210155183","host_organization_name":"Ohio Library and Information Network","host_organization_lineage":["https://openalex.org/I4210155183"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1460129796","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://etd.ohiolink.edu/acprod/odb_etd/ws/send_file/send?accession=bgsu1460129796&disposition=inline","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084385192","display_name":"Jeremy J Storer","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157417397","display_name":"Bowling Green State University","ror":"https://ror.org/00ay7va13","country_code":"US","type":"education","lineage":["https://openalex.org/I157417397"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeremy J Storer","raw_affiliation_strings":["Bowling Green State Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bowling Green State Univ","institution_ids":["https://openalex.org/I157417397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5084385192"],"corresponding_institution_ids":["https://openalex.org/I157417397"],"apc_list":null,"apc_paid":null,"fwci":0.4719,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74878161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.45339998602867126,"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"}},"topics":[{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.45339998602867126,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.22380000352859497,"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/T10555","display_name":"Fire effects on ecosystems","score":0.07069999724626541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wildfire-prediction","display_name":"wildfire prediction","score":0.875},{"id":"https://openalex.org/keywords/burned-area-prediction","display_name":"burned area prediction","score":0.7639999985694885},{"id":"https://openalex.org/keywords/montesinho-natural-park","display_name":"Montesinho Natural Park","score":0.8230000138282776},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.7960000038146973},{"id":"https://openalex.org/keywords/backpropagation","display_name":"backpropagation","score":0.9380000233650208},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.9959999918937683},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.7480000257492065},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"regression analysis","score":0.6809999942779541},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.8309999704360962},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"spectral clustering","score":0.9950000047683716},{"id":"https://openalex.org/keywords/data-mining","display_name":"data mining","score":0.5360000133514404},{"id":"https://openalex.org/keywords/classification","display_name":"classification","score":0.3610000014305115}],"concepts":[{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5675143599510193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5398156046867371},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47170019149780273},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42576563358306885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35271981358528137},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:etd.ohiolink.edu:bgsu1460129796","doi":null,"is_oa":true,"landing_page_url":"http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1460129796","pdf_url":"https://etd.ohiolink.edu/acprod/odb_etd/ws/send_file/send?accession=bgsu1460129796&disposition=inline","source":{"id":"https://openalex.org/S4377196344","display_name":"OhioLink ETD Center (Ohio Library and Information Network)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210155183","host_organization_name":"Ohio Library and Information Network","host_organization_lineage":["https://openalex.org/I4210155183"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1460129796","raw_type":"text"},{"id":"mag:2345609030","doi":null,"is_oa":false,"landing_page_url":"http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1460129796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:etd.ohiolink.edu:bgsu1460129796","doi":null,"is_oa":true,"landing_page_url":"http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1460129796","pdf_url":"https://etd.ohiolink.edu/acprod/odb_etd/ws/send_file/send?accession=bgsu1460129796&disposition=inline","source":{"id":"https://openalex.org/S4377196344","display_name":"OhioLink ETD Center (Ohio Library and Information Network)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210155183","host_organization_name":"Ohio Library and Information Network","host_organization_lineage":["https://openalex.org/I4210155183"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1460129796","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.8518999814987183,"display_name":"Life on land"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2345609030.pdf","grobid_xml":"https://content.openalex.org/works/W2345609030.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W22297218","https://openalex.org/W191808681","https://openalex.org/W1550657683","https://openalex.org/W1560780183","https://openalex.org/W1602564330","https://openalex.org/W1796544916","https://openalex.org/W1820051232","https://openalex.org/W1870794886","https://openalex.org/W1978831934","https://openalex.org/W1993677252","https://openalex.org/W2031592816","https://openalex.org/W2035983506","https://openalex.org/W2040492000","https://openalex.org/W2069457154","https://openalex.org/W2081697244","https://openalex.org/W2081935272","https://openalex.org/W2101234009","https://openalex.org/W2102148524","https://openalex.org/W2127218421","https://openalex.org/W2137041249","https://openalex.org/W2150355110","https://openalex.org/W2152195021","https://openalex.org/W2165232124","https://openalex.org/W2165874743","https://openalex.org/W2186104583","https://openalex.org/W2338411929","https://openalex.org/W2545119860","https://openalex.org/W2556989296","https://openalex.org/W2999729612","https://openalex.org/W3120740533","https://openalex.org/W3171500697"],"related_works":["https://openalex.org/W2550876601","https://openalex.org/W3124884611","https://openalex.org/W2969478341","https://openalex.org/W4386934712","https://openalex.org/W3026411337","https://openalex.org/W1490324539","https://openalex.org/W3214305415","https://openalex.org/W2928782926","https://openalex.org/W3109627517","https://openalex.org/W2116631292"],"abstract_inverted_index":{"Robert":[0],"C.":[1],"Green":[2],"II,":[3],"AdvisorForest":[4],"fires":[5],"are":[6],"a":[7,20,49,87,98,128],"dangerous":[8],"and":[9,36,69,104,149,153,176],"devastating":[10],"phenomenon.Being":[11],"able":[12],"to":[13,62,112,158],"accurately":[14],"predict":[15],"the":[16,42,54,63,70,74,84,141,160],"burned":[17],"area":[18,60],"of":[19,56,66,73,86,100,130,136,162,179],"forest":[21,57],"fire":[22,58],"could":[23],"potentially":[24],"limit":[25],"biological":[26],"damage":[27],"as":[28,30],"well":[29],"better":[31],"prepare":[32],"for":[33],"ensuing":[34],"economical":[35],"ecological":[37],"damage.A":[38],"data":[39,67,75,142],"set":[40],"from":[41],"Montesinho":[43],"Natural":[44],"Park":[45],"in":[46,108,127,156],"Portugal":[47],"provides":[48],"difficult":[50],"regression":[51,113,137],"task":[52,161],"regarding":[53],"prediction":[55],"burn":[59],"due":[61],"limited":[64],"amount":[65],"entries":[68],"imbalanced":[71],"nature":[72],"set.This":[76],"thesis":[77],"focuses":[78],"on":[79,146,172,186],"improving":[80],"these":[81],"results":[82],"through":[83],"use":[85],"Backpropagation":[88],"trained":[89,120],"Artificial":[90,121],"Neural":[91,122],"Network":[92,123],"which":[93],"is":[94,124,143,168,174,182],"systematically":[95],"evaluated":[96,126],"over":[97],"variety":[99,129],"configurations,":[101],"activation":[102],"functions,":[103],"input":[105],"methodologies,":[106],"resulting":[107],"approximately":[109,133],"30%":[110],"improvements":[111],"error":[114,138],"rates.A":[115],"Particle":[116],"Swarm":[117],"Optimization":[118],"(PSO)":[119],"also":[125,144],"configurations":[131],"providing":[132],"75%":[134],"improvement":[135],"rates.Going":[139],"further,":[140],"clustered":[145],"both":[147],"inputs":[148,173],"outputs":[150],"using":[151],"k-Means":[152],"Spectral":[154],"algorithms":[155],"order":[157],"pursue":[159],"classification":[163,167],"where":[164],"near":[165],"perfect":[166],"achieved":[169,183],"when":[170,184],"clustering":[171,185],"considered":[175],"an":[177],"accuracy":[178],"roughly":[180],"60%":[181],"output":[187],"values.":[188]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}