{"id":"https://openalex.org/W2964310714","doi":"https://doi.org/10.4018/ijaiml.2019010103","title":"Early Warning System Framework Proposal, Based on Big Data Environment","display_name":"Early Warning System Framework Proposal, Based on Big Data Environment","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2964310714","doi":"https://doi.org/10.4018/ijaiml.2019010103","mag":"2964310714"},"language":"en","primary_location":{"id":"doi:10.4018/ijaiml.2019010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaiml.2019010103","pdf_url":null,"source":{"id":"https://openalex.org/S4210228132","display_name":"International Journal of Artificial Intelligence and Machine Learning","issn_l":"2642-1577","issn":["2642-1577","2642-1585"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Artificial Intelligence and Machine Learning","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/A5061402604","display_name":"Goran Klepac","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113800","display_name":"Croatian National Bank","ror":"https://ror.org/01e154458","country_code":"HR","type":"other","lineage":["https://openalex.org/I4210113800"]}],"countries":["HR"],"is_corresponding":true,"raw_author_name":"Goran Klepac","raw_affiliation_strings":["Raiffeisenbank Austria, Magazinska, Croatia"],"affiliations":[{"raw_affiliation_string":"Raiffeisenbank Austria, Magazinska, Croatia","institution_ids":["https://openalex.org/I4210113800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073646274","display_name":"Robert Kopal","orcid":"https://orcid.org/0000-0002-9068-077X"},"institutions":[{"id":"https://openalex.org/I4210102288","display_name":"Algebra University College","ror":"https://ror.org/019m6wk21","country_code":"HR","type":"education","lineage":["https://openalex.org/I4210102288"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Robert Kopal","raw_affiliation_strings":["University College Algebra Zagreb, Zagreb, Croatia"],"affiliations":[{"raw_affiliation_string":"University College Algebra Zagreb, Zagreb, Croatia","institution_ids":["https://openalex.org/I4210102288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021603065","display_name":"Leo Mr\u0161i\u0107","orcid":"https://orcid.org/0000-0002-5093-3453"},"institutions":[{"id":"https://openalex.org/I4210102288","display_name":"Algebra University College","ror":"https://ror.org/019m6wk21","country_code":"HR","type":"education","lineage":["https://openalex.org/I4210102288"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Leo Mrsic","raw_affiliation_strings":["University College Algebra Zagreb, Zagreb, Croatia"],"affiliations":[{"raw_affiliation_string":"University College Algebra Zagreb, Zagreb, Croatia","institution_ids":["https://openalex.org/I4210102288"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061402604"],"corresponding_institution_ids":["https://openalex.org/I4210113800"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07815064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"1","first_page":"35","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9787999987602234,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9787999987602234,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9613999724388123,"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/variety","display_name":"Variety (cybernetics)","score":0.7200325131416321},{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.7128224968910217},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7045559287071228},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6760129928588867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6722509860992432},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5708456039428711},{"id":"https://openalex.org/keywords/early-warning-system","display_name":"Early warning system","score":0.4826832115650177},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38255584239959717},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3286336064338684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2887619733810425},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.12653344869613647}],"concepts":[{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.7200325131416321},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.7128224968910217},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7045559287071228},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6760129928588867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6722509860992432},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5708456039428711},{"id":"https://openalex.org/C2779296788","wikidata":"https://www.wikidata.org/wiki/Q5326904","display_name":"Early warning system","level":3,"score":0.4826832115650177},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38255584239959717},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3286336064338684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2887619733810425},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.12653344869613647},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijaiml.2019010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaiml.2019010103","pdf_url":null,"source":{"id":"https://openalex.org/S4210228132","display_name":"International Journal of Artificial Intelligence and Machine Learning","issn_l":"2642-1577","issn":["2642-1577","2642-1585"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Artificial Intelligence and Machine Learning","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W47923795","https://openalex.org/W72603518","https://openalex.org/W598142264","https://openalex.org/W950821216","https://openalex.org/W1424846356","https://openalex.org/W1500383076","https://openalex.org/W1576161108","https://openalex.org/W1602715654","https://openalex.org/W1775343853","https://openalex.org/W1947595544","https://openalex.org/W1984314602","https://openalex.org/W1992713880","https://openalex.org/W2007138946","https://openalex.org/W2020198693","https://openalex.org/W2075929506","https://openalex.org/W2119154983","https://openalex.org/W2155822737","https://openalex.org/W2327618756","https://openalex.org/W2329029318","https://openalex.org/W2479403242","https://openalex.org/W2482882538","https://openalex.org/W2484213769","https://openalex.org/W2490603794","https://openalex.org/W2521377782","https://openalex.org/W2582017947","https://openalex.org/W2727979692","https://openalex.org/W2760356657","https://openalex.org/W2786729088","https://openalex.org/W2799258297","https://openalex.org/W2898878678","https://openalex.org/W2909309335","https://openalex.org/W2964344204","https://openalex.org/W4233765216","https://openalex.org/W4246691929","https://openalex.org/W4250848186","https://openalex.org/W4301021234","https://openalex.org/W6750203514"],"related_works":["https://openalex.org/W2019221308","https://openalex.org/W2366686155","https://openalex.org/W1044530532","https://openalex.org/W2383173999","https://openalex.org/W2899102479","https://openalex.org/W3125817379","https://openalex.org/W2369926976","https://openalex.org/W2381743810","https://openalex.org/W2349162035","https://openalex.org/W2402451758"],"abstract_inverted_index":{"Early":[0],"warning":[1,46,78,165],"systems":[2,47],"are":[3,38,149],"made":[4],"with":[5],"the":[6,93,138],"purpose":[7],"to":[8,17,42,57,119,159],"efficiently":[9],"recognize":[10],"deviant":[11],"and":[12,31,63,135,152,156],"potentially":[13],"dangerous":[14],"trends":[15],"related":[16],"company":[18],"business":[19],"as":[20,22,117,154],"early":[21,45,77,164],"possible.":[23],"The":[24,51,90],"Big":[25,52],"Data":[26,53],"environment":[27,54],"gives":[28,71],"new":[29,32,59,65],"opportunities":[30],"approaches":[33],"in":[34,87,162],"analytical":[35],"processes.":[36],"There":[37],"numerous":[39],"ways":[40,60],"how":[41],"set":[43],"up":[44],"within":[48,81,137],"a":[49,72,82,97,105,142],"company.":[50],"forces":[55],"companies":[56],"apply":[58],"of":[61,92,107,144],"thinking":[62],"use":[64],"disposable":[66],"data":[67,108],"sources.":[68],"This":[69],"article":[70],"novel":[73],"concept":[74],"for":[75,113],"an":[76],"system":[79,101],"design":[80],"company,":[83],"which":[84,102],"is":[85,96],"applicable":[86],"different":[88],"industries.":[89],"core":[91],"proposed":[94],"framework":[95],"hybrid":[98],"fuzzy":[99],"expert":[100],"can":[103,124],"contain":[104],"variety":[106],"mining":[109],"predictive":[110],"models":[111],"responsible":[112],"some":[114],"specific":[115],"areas":[116],"addition":[118],"traditional":[120],"rule":[121,139],"blocks.":[122,140],"It":[123],"also":[125,150],"include":[126],"social":[127],"network":[128],"analysis":[129],"metrics":[130],"based":[131],"on":[132],"linguistic":[133],"variables":[134],"incorporated":[136],"As":[141],"part":[143],"this":[145],"framework,":[146],"SNA":[147],"methods":[148],"explained":[151],"introduced":[153],"powerful":[155],"unique":[157],"tool":[158],"be":[160],"used":[161],"modern":[163],"systems.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}