{"id":"https://openalex.org/W3204015845","doi":"https://doi.org/10.1109/bmsb53066.2021.9547182","title":"Efficient Fault Rules Mining for Multimedia Broadband Services in Power Sensor Network","display_name":"Efficient Fault Rules Mining for Multimedia Broadband Services in Power Sensor Network","publication_year":2021,"publication_date":"2021-08-04","ids":{"openalex":"https://openalex.org/W3204015845","doi":"https://doi.org/10.1109/bmsb53066.2021.9547182","mag":"3204015845"},"language":"en","primary_location":{"id":"doi:10.1109/bmsb53066.2021.9547182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb53066.2021.9547182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","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/A5011859799","display_name":"Yuxiang Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I4387152632","display_name":"Anhui Jiyuan Software","ror":"https://ror.org/05hn3g777","country_code":null,"type":"company","lineage":["https://openalex.org/I4387152632"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Lv Yuxiang","raw_affiliation_strings":["Anhui Jiyuan Software Company, LTD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Jiyuan Software Company, LTD","institution_ids":["https://openalex.org/I4387152632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102425876","display_name":"Dong Yawen","orcid":null},"institutions":[{"id":"https://openalex.org/I4387152632","display_name":"Anhui Jiyuan Software","ror":"https://ror.org/05hn3g777","country_code":null,"type":"company","lineage":["https://openalex.org/I4387152632"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Yawen","raw_affiliation_strings":["Anhui Jiyuan Software Company, LTD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Jiyuan Software Company, LTD","institution_ids":["https://openalex.org/I4387152632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397670","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-7891-2670"},"institutions":[{"id":"https://openalex.org/I4387152632","display_name":"Anhui Jiyuan Software","ror":"https://ror.org/05hn3g777","country_code":null,"type":"company","lineage":["https://openalex.org/I4387152632"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Anhui Jiyuan Software Company, LTD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Jiyuan Software Company, LTD","institution_ids":["https://openalex.org/I4387152632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034733604","display_name":"Jian Zeng","orcid":"https://orcid.org/0000-0001-8801-5220"},"institutions":[{"id":"https://openalex.org/I4210137797","display_name":"Economic Research Institute","ror":"https://ror.org/03y2be923","country_code":"BG","type":"nonprofit","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210137797"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Zeng Jian","raw_affiliation_strings":["State Grid Sichuan Electric Power Company Economic and Technical Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Sichuan Electric Power Company Economic and Technical Research Institute","institution_ids":["https://openalex.org/I4210137797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083704076","display_name":"Honglin Fang","orcid":"https://orcid.org/0000-0002-5028-0720"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Honglin","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100783073","display_name":"Peng Yu","orcid":"https://orcid.org/0000-0002-0402-5390"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Peng","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991999864578247,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.960099995136261,"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/T14139","display_name":"E-commerce and Technology Innovations","score":0.9057000279426575,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7874721884727478},{"id":"https://openalex.org/keywords/broadband","display_name":"Broadband","score":0.6923261880874634},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6164912581443787},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.573182225227356},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5649089813232422},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5362194776535034},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5079320073127747},{"id":"https://openalex.org/keywords/broadband-networks","display_name":"Broadband networks","score":0.4853581488132477},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.48293301463127136},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.432412326335907},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4188573360443115},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2804100513458252},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16829997301101685},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11816629767417908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7874721884727478},{"id":"https://openalex.org/C509933004","wikidata":"https://www.wikidata.org/wiki/Q194163","display_name":"Broadband","level":2,"score":0.6923261880874634},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6164912581443787},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.573182225227356},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5649089813232422},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5362194776535034},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5079320073127747},{"id":"https://openalex.org/C125599584","wikidata":"https://www.wikidata.org/wiki/Q15057100","display_name":"Broadband networks","level":3,"score":0.4853581488132477},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.48293301463127136},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.432412326335907},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4188573360443115},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2804100513458252},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16829997301101685},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11816629767417908},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmsb53066.2021.9547182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb53066.2021.9547182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7457563258","display_name":null,"funder_award_id":"5700-202056177 A-0-0-00","funder_id":"https://openalex.org/F4320326707","funder_display_name":"State Grid Corporation of China"}],"funders":[{"id":"https://openalex.org/F4320326707","display_name":"State Grid Corporation of China","ror":"https://ror.org/05twwhs70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W565267543","https://openalex.org/W1542978828","https://openalex.org/W1979943645","https://openalex.org/W2064853889","https://openalex.org/W2099404336","https://openalex.org/W2122105781","https://openalex.org/W2166559705","https://openalex.org/W2188991929","https://openalex.org/W2243665190","https://openalex.org/W2381746073","https://openalex.org/W2592549785","https://openalex.org/W2914026223","https://openalex.org/W3191880705","https://openalex.org/W4285719527","https://openalex.org/W6632657173","https://openalex.org/W6800373187"],"related_works":["https://openalex.org/W2751920613","https://openalex.org/W2415164632","https://openalex.org/W2238349241","https://openalex.org/W2113309085","https://openalex.org/W2410549043","https://openalex.org/W3014936414","https://openalex.org/W2394010168","https://openalex.org/W2993700121","https://openalex.org/W2184109998","https://openalex.org/W2362772308"],"abstract_inverted_index":{"In":[0,77],"order":[1,78],"to":[2,59,79],"reduce":[3],"the":[4,8,13,19,36,66,74,81,84,90,101,108],"fault":[5,23,27,42],"rate":[6],"of":[7,21,38,41,69,83,110,113],"broadband":[9,70],"multimedia":[10,71],"service":[11],"in":[12,107],"power":[14],"sensor":[15],"network":[16,22],"and":[17,44,55,64],"improve":[18],"accuracy":[20],"diagnosis,":[24],"an":[25],"efficient":[26,61],"association":[28],"rule":[29,62],"mining":[30,63],"algorithm":[31,93],"is":[32,57,94],"proposed.":[33],"Aiming":[34],"at":[35],"characteristics":[37],"sparse":[39],"correlation":[40],"data":[43,114],"large":[45],"transaction":[46],"volume,":[47],"a":[48,86,111],"set":[49],"intersection":[50],"strategy":[51],"based":[52],"on":[53,73],"pruning":[54],"cross-counting":[56],"designed":[58],"realize":[60],"ensure":[65],"normal":[67],"communication":[68],"services":[72],"existing":[75],"network.":[76],"verify":[80],"effectiveness":[82],"method,":[85],"comparative":[87],"experiment":[88],"with":[89,116],"original":[91],"Eclat":[92],"designed.":[95],"The":[96],"experimental":[97],"results":[98],"show":[99],"that":[100],"improved":[102],"method":[103],"has":[104],"better":[105],"performance":[106],"face":[109],"variety":[112],"sets":[115],"different":[117],"characteristics.":[118]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
