{"id":"https://openalex.org/W2955972975","doi":"https://doi.org/10.1109/qomex.2019.8743250","title":"Modeling Instantaneous Quality of Experience Using Machine Learning of Model Trees","display_name":"Modeling Instantaneous Quality of Experience Using Machine Learning of Model Trees","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2955972975","doi":"https://doi.org/10.1109/qomex.2019.8743250","mag":"2955972975"},"language":"en","primary_location":{"id":"doi:10.1109/qomex.2019.8743250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2019.8743250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-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/A5051117813","display_name":"Markus Fiedler","orcid":"https://orcid.org/0000-0001-8929-4911"},"institutions":[{"id":"https://openalex.org/I52719799","display_name":"Blekinge Institute of Technology","ror":"https://ror.org/0093a8w51","country_code":"SE","type":"education","lineage":["https://openalex.org/I52719799"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Markus Fiedler","raw_affiliation_strings":["Blekinge Institute of Technology, Karlshamn/Karlskrona, Sweden"],"affiliations":[{"raw_affiliation_string":"Blekinge Institute of Technology, Karlshamn/Karlskrona, Sweden","institution_ids":["https://openalex.org/I52719799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042001611","display_name":"Usha Kiran Chapala","orcid":null},"institutions":[{"id":"https://openalex.org/I52719799","display_name":"Blekinge Institute of Technology","ror":"https://ror.org/0093a8w51","country_code":"SE","type":"education","lineage":["https://openalex.org/I52719799"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Usha Chapala","raw_affiliation_strings":["Blekinge Institute of Technology, Karlshamn/Karlskrona, Sweden"],"affiliations":[{"raw_affiliation_string":"Blekinge Institute of Technology, Karlshamn/Karlskrona, Sweden","institution_ids":["https://openalex.org/I52719799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031206249","display_name":"Sridhar Peteti","orcid":null},"institutions":[{"id":"https://openalex.org/I52719799","display_name":"Blekinge Institute of Technology","ror":"https://ror.org/0093a8w51","country_code":"SE","type":"education","lineage":["https://openalex.org/I52719799"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Sridhar Peteti","raw_affiliation_strings":["Blekinge Institute of Technology, Karlshamn/Karlskrona, Sweden"],"affiliations":[{"raw_affiliation_string":"Blekinge Institute of Technology, Karlshamn/Karlskrona, Sweden","institution_ids":["https://openalex.org/I52719799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051117813"],"corresponding_institution_ids":["https://openalex.org/I52719799"],"apc_list":null,"apc_paid":null,"fwci":0.4049,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64577343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.973800003528595,"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/provisioning","display_name":"Provisioning","score":0.7375354766845703},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7215346097946167},{"id":"https://openalex.org/keywords/instantaneous-phase","display_name":"Instantaneous phase","score":0.5331287384033203},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5280607342720032},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.5118333697319031},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.495980829000473},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4834643006324768},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.41230252385139465},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4101486802101135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40523862838745117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37410110235214233},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3688209652900696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12346571683883667},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11986836791038513},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09910064935684204}],"concepts":[{"id":"https://openalex.org/C172191483","wikidata":"https://www.wikidata.org/wiki/Q1071806","display_name":"Provisioning","level":2,"score":0.7375354766845703},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7215346097946167},{"id":"https://openalex.org/C137798554","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Instantaneous phase","level":3,"score":0.5331287384033203},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5280607342720032},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.5118333697319031},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.495980829000473},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4834643006324768},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.41230252385139465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4101486802101135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40523862838745117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37410110235214233},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3688209652900696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12346571683883667},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11986836791038513},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09910064935684204},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qomex.2019.8743250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2019.8743250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1572978214","https://openalex.org/W1964859752","https://openalex.org/W1978421850","https://openalex.org/W1983373936","https://openalex.org/W1989833753","https://openalex.org/W2013131615","https://openalex.org/W2014118384","https://openalex.org/W2022359415","https://openalex.org/W2053302610","https://openalex.org/W2151744441","https://openalex.org/W2566053671","https://openalex.org/W2625986414","https://openalex.org/W2727698908","https://openalex.org/W2728546541","https://openalex.org/W2736492128","https://openalex.org/W2748103247","https://openalex.org/W2761741940","https://openalex.org/W2766773582","https://openalex.org/W2781627827","https://openalex.org/W2885632369","https://openalex.org/W3106457433","https://openalex.org/W6634091482"],"related_works":["https://openalex.org/W2893779165","https://openalex.org/W2133947431","https://openalex.org/W2490196280","https://openalex.org/W3182827720","https://openalex.org/W1596838019","https://openalex.org/W3208509670","https://openalex.org/W2109304297","https://openalex.org/W2100864966","https://openalex.org/W2083709218","https://openalex.org/W4323366562"],"abstract_inverted_index":{"For":[0],"service":[1,13],"providers":[2],"and":[3,54,126],"operators,":[4],"successful":[5],"root":[6,65],"cause":[7,66],"analysis":[8],"is":[9,43,123],"essential":[10],"for":[11,17,81],"satisfactory":[12],"provisioning.":[14],"However,":[15],"reasons":[16],"sudden":[18,158],"trend":[19],"changes":[20,159],"of":[21,25,50,73,77,89,101,109,116,138,150,160],"the":[22,44,56,71,96,99,102,141],"instantaneous":[23,59,82,110,151],"Quality":[24],"Experience":[26],"(QoE)":[27],"may":[28],"not":[29],"always":[30],"be":[31,133],"immediately":[32],"visible":[33],"from":[34,86],"underlying":[35],"service-":[36],"or":[37],"network-level":[38],"monitoring":[39],"data.":[40],"Thus,":[41],"there":[42],"challenge":[45],"to":[46,106,127,135,157],"pinpoint":[47],"such":[48,162],"moments":[49,137],"change":[51],"in":[52,64],"provisioning,":[53,161],"model":[55,107,113,142],"impact":[57],"on":[58],"QoE,":[60],"as":[61,155,163],"a":[62,87],"lead":[63],"analysis.":[67],"This":[68],"work":[69],"investigates":[70],"potential":[72],"Machine":[74],"Learning":[75],"(ML)":[76],"deriving":[78],"time-interval-based":[79],"models":[80],"QoE":[83,111,152],"ratings,":[84],"obtained":[85],"set":[88],"publicly":[90],"available":[91],"rating":[92],"traces.":[93],"In":[94],"particular,":[95],"paper":[97],"demonstrates":[98],"capability":[100],"ML":[103],"algorithm":[104],"M5P":[105],"trends":[108],"through":[112],"trees,":[114],"consisting":[115],"piecewise":[117],"linear":[118],"functions":[119,131],"over":[120,153],"time.":[121],"It":[122],"shown":[124],"how":[125],"which":[128],"extent":[129],"these":[130],"can":[132],"used":[134],"estimate":[136],"change.":[139],"Furthermore,":[140],"trees":[143],"support":[144],"earlier":[145],"assumptions":[146],"about":[147],"exponential":[148],"shapes":[149],"time":[154],"reactions":[156],"video":[164],"freezes.":[165]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}