{"id":"https://openalex.org/W2547803919","doi":"https://doi.org/10.1109/ic3ina.2013.6819192","title":"Support Vector regression for Service Level Agreement violation prediction","display_name":"Support Vector regression for Service Level Agreement violation prediction","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2547803919","doi":"https://doi.org/10.1109/ic3ina.2013.6819192","mag":"2547803919"},"language":"en","primary_location":{"id":"doi:10.1109/ic3ina.2013.6819192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3ina.2013.6819192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Computer, Control, Informatics and Its Applications (IC3INA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5109042183","display_name":"Ahmad Fadzil Mohamad Hani","orcid":null},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ahmad Fadzil M Hani","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Tronoh, Perak, MALAYSIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Tronoh, Perak, MALAYSIA","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017626206","display_name":"Irving Vitra Paputungan","orcid":"https://orcid.org/0000-0001-7034-9003"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Irving Vitra Paputungan","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Tronoh, Perak, MALAYSIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Tronoh, Perak, MALAYSIA","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079884366","display_name":"Mohd Fadzil Hassan","orcid":"https://orcid.org/0000-0001-9912-6890"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"M Fadzil Hassan","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Tronoh, Perak, MALAYSIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Tronoh, Perak, MALAYSIA","institution_ids":["https://openalex.org/I203899302"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I203899302"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"307","last_page":"311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9939000010490417,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9939000010490417,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9916999936103821,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.7629703283309937},{"id":"https://openalex.org/keywords/service-provider","display_name":"Service provider","score":0.6945719718933105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6904302835464478},{"id":"https://openalex.org/keywords/service-level-agreement","display_name":"Service-level agreement","score":0.661307692527771},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5936780571937561},{"id":"https://openalex.org/keywords/service-level-objective","display_name":"Service level objective","score":0.5752944350242615},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5349646210670471},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4907130002975464},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4905528426170349},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4641621708869934},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4588208496570587},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.38558250665664673},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2747236490249634},{"id":"https://openalex.org/keywords/service-design","display_name":"Service design","score":0.18813249468803406},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15269216895103455},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.10179644823074341},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09491053223609924},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08579036593437195},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.08227217197418213}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7629703283309937},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.6945719718933105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6904302835464478},{"id":"https://openalex.org/C2778160497","wikidata":"https://www.wikidata.org/wiki/Q869830","display_name":"Service-level agreement","level":3,"score":0.661307692527771},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5936780571937561},{"id":"https://openalex.org/C16151460","wikidata":"https://www.wikidata.org/wiki/Q3480069","display_name":"Service level objective","level":5,"score":0.5752944350242615},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5349646210670471},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4907130002975464},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4905528426170349},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4641621708869934},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4588208496570587},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.38558250665664673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2747236490249634},{"id":"https://openalex.org/C61063171","wikidata":"https://www.wikidata.org/wiki/Q532781","display_name":"Service design","level":4,"score":0.18813249468803406},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15269216895103455},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.10179644823074341},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09491053223609924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08579036593437195},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.08227217197418213},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3ina.2013.6819192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3ina.2013.6819192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Computer, Control, Informatics and Its Applications (IC3INA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W79023324","https://openalex.org/W147194447","https://openalex.org/W1489820776","https://openalex.org/W1534587918","https://openalex.org/W1580216079","https://openalex.org/W1663792126","https://openalex.org/W1885899143","https://openalex.org/W1957185543","https://openalex.org/W1971957960","https://openalex.org/W1978786682","https://openalex.org/W1981312402","https://openalex.org/W1988518729","https://openalex.org/W2013542432","https://openalex.org/W2032852212","https://openalex.org/W2077523495","https://openalex.org/W2090741642","https://openalex.org/W2098522719","https://openalex.org/W2111767571","https://openalex.org/W2132589240","https://openalex.org/W2149681371","https://openalex.org/W2156909104","https://openalex.org/W2161327845","https://openalex.org/W2163624482","https://openalex.org/W2168112441","https://openalex.org/W2172064003","https://openalex.org/W4241940037","https://openalex.org/W6628992569","https://openalex.org/W6634768277","https://openalex.org/W6675200205","https://openalex.org/W6683840650"],"related_works":["https://openalex.org/W2168158826","https://openalex.org/W2786810075","https://openalex.org/W2154017244","https://openalex.org/W2003461454","https://openalex.org/W928714965","https://openalex.org/W1797105837","https://openalex.org/W3011778954","https://openalex.org/W3048426706","https://openalex.org/W2747515723","https://openalex.org/W2294150046"],"abstract_inverted_index":{"SLA":[0,24,69],"is":[1,39,65,106,114],"a":[2],"contract":[3],"between":[4],"service":[5,16,21,97],"providers":[6,42],"and":[7,33],"consumers,":[8],"mandating":[9],"specific":[10],"numerical":[11],"target":[12],"values":[13],"which":[14],"the":[15],"needs":[17],"to":[18,29,43,78],"achieve.":[19],"For":[20],"providers,":[22],"preventing":[23],"violation":[25],"becomes":[26],"very":[27],"important":[28],"enhance":[30],"customer":[31],"trust":[32],"avoid":[34],"penalty":[35],"charging.":[36],"Therefore,":[37],"it":[38,113],"necessary":[40],"for":[41,63,67],"forecast":[44],"possible":[45,50],"violations":[46],"as":[47,49],"much":[48],"before":[51],"they":[52],"actually":[53],"happen.":[54],"Time":[55],"series":[56],"analysis":[57],"based":[58],"on":[59],"Support":[60,92],"Vector":[61,93],"Machine":[62,94],"regression":[64],"proposed":[66],"predicting":[68],"violations.":[70],"It":[71],"will":[72],"analyse":[73],"historical":[74],"data":[75,89,99],"of":[76],"performance":[77,98],"provide":[79],"estimated":[80],"upcoming":[81],"data.":[82],"A":[83],"validation":[84],"using":[85],"120":[86],"days":[87],"sample":[88],"shows":[90],"that":[91],"could":[95],"predict":[96],"in":[100,109],"cloud":[101],"database.":[102],"The":[103],"prediction":[104],"accuracy":[105],"considerably":[107],"high":[108],"this":[110],"particular":[111],"case;":[112],"more":[115],"than":[116],"80%.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
