{"id":"https://openalex.org/W2399011141","doi":"https://doi.org/10.1007/978-3-319-25783-9_43","title":"Self-Organized Predictor of Methane Concentration Warnings in Coal Mines","display_name":"Self-Organized Predictor of Methane Concentration Warnings in Coal Mines","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2399011141","doi":"https://doi.org/10.1007/978-3-319-25783-9_43","mag":"2399011141"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-25783-9_43","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25783-9_43","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-25783-9_43","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037726482","display_name":"Dymitr Ruta","orcid":"https://orcid.org/0000-0003-1060-6375"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Dymitr Ruta","raw_affiliation_strings":["Etisalat British Telecom Innovation Center, Khalifa University of Science, Technology and Research, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"Etisalat British Telecom Innovation Center, Khalifa University of Science, Technology and Research, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108056229","display_name":"Ling Cen","orcid":"https://orcid.org/0000-0002-1674-1052"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ling Cen","raw_affiliation_strings":["Etisalat British Telecom Innovation Center, Khalifa University of Science, Technology and Research, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"Etisalat British Telecom Innovation Center, Khalifa University of Science, Technology and Research, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037726482"],"corresponding_institution_ids":["https://openalex.org/I176601375"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.4313,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80708986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"485","last_page":"493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11284","display_name":"Coal Properties and Utilization","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/computer-science","display_name":"Computer science","score":0.6720173358917236},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6087875962257385},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5558792948722839},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5275164246559143},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5192894339561462},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.44051557779312134},{"id":"https://openalex.org/keywords/methane","display_name":"Methane","score":0.4117686152458191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.388581782579422},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38230764865875244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6720173358917236},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6087875962257385},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5558792948722839},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5275164246559143},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5192894339561462},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.44051557779312134},{"id":"https://openalex.org/C516920438","wikidata":"https://www.wikidata.org/wiki/Q37129","display_name":"Methane","level":2,"score":0.4117686152458191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.388581782579422},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38230764865875244},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"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:10.1007/978-3-319-25783-9_43","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25783-9_43","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-25783-9_43","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25783-9_43","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1755449570","https://openalex.org/W1963619890","https://openalex.org/W1978088959","https://openalex.org/W1995240674","https://openalex.org/W2006308268","https://openalex.org/W2007164051","https://openalex.org/W2146764172"],"related_works":["https://openalex.org/W4389954502","https://openalex.org/W2771255398","https://openalex.org/W2930428186","https://openalex.org/W3200027047","https://openalex.org/W4224922629","https://openalex.org/W4385770464","https://openalex.org/W3125536479","https://openalex.org/W4214820172","https://openalex.org/W3120363735","https://openalex.org/W2394323384"],"abstract_inverted_index":{"Coal":[0],"mining":[1,9,74,172],"operation":[2,36],"continuously":[3],"balances":[4],"the":[5,8,12,39,73,91,106,122,126,131,141,144,156,169,179,193,197,208,220],"trade-off":[6],"between":[7],"productivity":[10],"and":[11,31,79,137,148,174,204,219],"risk":[13],"of":[14,26,90,101,125,143,168,192,200,212],"hazards":[15],"like":[16],"methane":[17,20,50,59,77,157],"explosion.":[18],"Dangerous":[19],"concentration":[21,158],"is":[22,85],"normally":[23],"a":[24,34,45,99,166,190],"result":[25,191],"increased":[27,40],"cutter":[28],"loader":[29],"workload":[30],"leads":[32],"to":[33,71,96,140,155],"costly":[35,81],"shutdown":[37],"until":[38],"concentrations":[41,60],"abate.":[42],"We":[43,150],"propose":[44],"simple":[46],"yet":[47],"very":[48],"robust":[49],"warning":[51,78,159],"prediction":[52,93,160],"model":[53,84,113,129,187,226],"that":[54],"can":[55],"forecast":[56],"imminent":[57],"high":[58],"at":[61],"least":[62],"3":[63],"minutes":[64],"in":[65,86,161],"advance,":[66],"thereby":[67],"giving":[68],"enough":[69],"notice":[70],"slow":[72],"operation,":[75],"prevent":[76],"avoid":[80],"shutdowns.":[82],"Our":[83,185],"fact":[87],"an":[88],"instance":[89],"generic":[92],"framework":[94,154],"able":[95],"rapidly":[97],"compose":[98],"predictor":[100],"any":[102],"future":[103],"events":[104],"upon":[105,121],"aligned":[107],"time":[108,202],"series":[109,203],"big":[110],"data.":[111],"The":[112],"uses":[114],"fast":[115],"greedy":[116],"backward-forward":[117],"search":[118],"applied":[119,152],"subsequently":[120],"design":[123],"choices":[124],"machine":[127,239],"learning":[128],"from":[130,215],"data":[132,171,214],"granularity,":[133],"feature":[134,244],"selection,":[135],"filtering":[136,195],"transformation":[138],"up":[139],"selection":[142],"predictor,":[145],"its":[146],"configuration":[147],"complexity.":[149],"have":[151],"such":[153],"real":[162],"coal":[163],"mines":[164],"as":[165,189],"part":[167],"IJCRS\u20192015":[170],"competition":[173],"scored":[175],"$$3^{rd}$$":[176],"place":[177],"with":[178],"performance":[180],"just":[181,216],"under":[182],"85":[183],"%.":[184],"top":[186],"emerged":[188],"rapid":[194],"through":[196],"large":[198],"amount":[199],"sensors":[201,218],"eventually":[205],"used":[206],"only":[207],"latest":[209],"1":[210],"minute":[211],"aggregated":[213],"few":[217],"logistic":[221],"regression":[222],"predictor.":[223],"Many":[224],"other":[225],"setups":[227],"harnessing":[228],"multiple":[229],"linear":[230],"regression,":[231],"decision":[232],"trees,":[233],"naive":[234],"Bayes":[235],"or":[236],"support":[237],"vector":[238],"predictors":[240],"on":[241],"slightly":[242],"altered":[243],"sets":[245],"returned":[246],"nearly":[247],"equally":[248],"good":[249],"performance.":[250]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
