{"id":"https://openalex.org/W3120891455","doi":"https://doi.org/10.1587/transinf.2020edp7044","title":"Fuzzy Output Support Vector Machine Based Incident Ticket Classification","display_name":"Fuzzy Output Support Vector Machine Based Incident Ticket Classification","publication_year":2020,"publication_date":"2020-12-31","ids":{"openalex":"https://openalex.org/W3120891455","doi":"https://doi.org/10.1587/transinf.2020edp7044","mag":"3120891455"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2020edp7044","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2020edp7044","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E104.D/1/E104.D_2020EDP7044/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E104.D/1/E104.D_2020EDP7044/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101744061","display_name":"Libo Yang","orcid":"https://orcid.org/0000-0003-2643-7086"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Libo YANG","raw_affiliation_strings":["School of Information Engineering, North China University of Water Resources and Electric Power"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, North China University of Water Resources and Electric Power","institution_ids":["https://openalex.org/I198645480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101744061"],"corresponding_institution_ids":["https://openalex.org/I198645480"],"apc_list":null,"apc_paid":null,"fwci":0.5302,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74118903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"E104.D","issue":"1","first_page":"146","last_page":"151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962000250816345,"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":0.9962000250816345,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9876000285148621,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8764911890029907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8382679224014282},{"id":"https://openalex.org/keywords/ticket","display_name":"Ticket","score":0.7350176572799683},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5758715271949768},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5686953663825989},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5618358850479126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5483534932136536},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.542844831943512},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5262566804885864},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4745258390903473},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33288371562957764},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07646355032920837}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8764911890029907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8382679224014282},{"id":"https://openalex.org/C2776540713","wikidata":"https://www.wikidata.org/wiki/Q7800647","display_name":"Ticket","level":2,"score":0.7350176572799683},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5758715271949768},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5686953663825989},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5618358850479126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5483534932136536},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.542844831943512},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5262566804885864},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4745258390903473},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33288371562957764},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07646355032920837},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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:10.1587/transinf.2020edp7044","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2020edp7044","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E104.D/1/E104.D_2020EDP7044/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2020edp7044","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2020edp7044","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E104.D/1/E104.D_2020EDP7044/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322878","display_name":"Henan University","ror":"https://ror.org/003xyzq10"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3120891455.pdf","grobid_xml":"https://content.openalex.org/works/W3120891455.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1877594262","https://openalex.org/W1932963602","https://openalex.org/W1979354936","https://openalex.org/W1980305094","https://openalex.org/W1992813315","https://openalex.org/W2012746913","https://openalex.org/W2082108308","https://openalex.org/W2116134218","https://openalex.org/W2143010077","https://openalex.org/W2170860445","https://openalex.org/W2345534942","https://openalex.org/W2734466259","https://openalex.org/W2742454277","https://openalex.org/W2773406252","https://openalex.org/W2791280689"],"related_works":["https://openalex.org/W132856376","https://openalex.org/W4288388931","https://openalex.org/W2892636954","https://openalex.org/W4206805925","https://openalex.org/W4375841483","https://openalex.org/W2022874741","https://openalex.org/W2364431604","https://openalex.org/W2018860124","https://openalex.org/W3112526189","https://openalex.org/W2572886659"],"abstract_inverted_index":{"Incident":[0],"ticket":[1,38,89],"classification":[2,14,39],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7,18,45],"the":[8,46,65],"complex":[9],"system":[10],"maintenance.":[11],"However,":[12],"low":[13],"accuracy":[15],"will":[16],"result":[17],"high":[19],"maintenance":[20],"costs.":[21],"To":[22],"solve":[23,64],"this":[24,26],"issue,":[25],"paper":[27],"proposes":[28],"a":[29],"fuzzy":[30,104],"output":[31,72],"support":[32],"vector":[33],"machine":[34],"(FOSVM)":[35],"based":[36],"incident":[37],"approach,":[40],"which":[41],"can":[42],"be":[43],"implemented":[44],"context":[47],"of":[48,68],"both":[49,83],"two-class":[50],"SVMs":[51,54,70],"and":[52,58,74,87,103],"multi-class":[53,69,101],"such":[55],"as":[56],"one-versus-one":[57],"one-versus-rest.":[59],"Our":[60],"purpose":[61],"is":[62],"to":[63,71],"unclassifiable":[66],"regions":[67],"reliable":[73],"robust":[75],"results":[76],"by":[77],"more":[78],"fine-grained":[79],"analysis.":[80],"Experiments":[81],"on":[82],"benchmark":[84],"data":[85,90],"sets":[86],"real-world":[88],"demonstrate":[91],"that":[92],"our":[93],"method":[94],"has":[95],"better":[96],"performance":[97],"than":[98],"commonly":[99],"used":[100],"SVM":[102,105],"methods.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
