{"id":"https://openalex.org/W3115095875","doi":"https://doi.org/10.1109/jiot.2020.3045726","title":"Weighted Adaptive Partition for Heterogeneous IoT Data Stream","display_name":"Weighted Adaptive Partition for Heterogeneous IoT Data Stream","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3115095875","doi":"https://doi.org/10.1109/jiot.2020.3045726","mag":"3115095875"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2020.3045726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.3045726","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","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/A5101953761","display_name":"Mengjun Zhang","orcid":"https://orcid.org/0000-0001-9962-6983"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengjun Zhang","raw_affiliation_strings":["College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063163653","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0001-9032-4401"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-9032-4401","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4062,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71199462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"8","issue":"20","first_page":"15240","last_page":"15248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9700999855995178,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9628999829292297,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8303797245025635},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.635204553604126},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4785761833190918},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4152723252773285},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3888634443283081},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13950669765472412},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08423814177513123}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8303797245025635},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.635204553604126},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4785761833190918},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4152723252773285},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3888634443283081},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13950669765472412},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08423814177513123},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2020.3045726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.3045726","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3593897502","display_name":null,"funder_award_id":"61971310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7852893480","display_name":null,"funder_award_id":"61731006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W897937383","https://openalex.org/W1133916940","https://openalex.org/W2009961107","https://openalex.org/W2045938006","https://openalex.org/W2054614919","https://openalex.org/W2059406902","https://openalex.org/W2068790182","https://openalex.org/W2136936677","https://openalex.org/W2143991132","https://openalex.org/W2396728763","https://openalex.org/W2483430316","https://openalex.org/W2513385807","https://openalex.org/W2551541394","https://openalex.org/W2609280828","https://openalex.org/W2620592149","https://openalex.org/W2735299109","https://openalex.org/W2768206144","https://openalex.org/W2786088545","https://openalex.org/W2808008953","https://openalex.org/W2880583584","https://openalex.org/W2895834293","https://openalex.org/W2935339072","https://openalex.org/W2943801183","https://openalex.org/W2964113380","https://openalex.org/W2964248614","https://openalex.org/W2968871666","https://openalex.org/W2986858483","https://openalex.org/W2999481039","https://openalex.org/W3003711083","https://openalex.org/W4233583441","https://openalex.org/W6729636779","https://openalex.org/W6748102297","https://openalex.org/W6767061387","https://openalex.org/W6773250752"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2390279801","https://openalex.org/W2625093826","https://openalex.org/W4391913857","https://openalex.org/W2358668433"],"abstract_inverted_index":{"In":[0],"the":[1,19,29,34,56,70,81,92,129,137,148,156,162,180,185,193,198,201,204,211,227,232,238],"past,":[2],"many":[3],"researchers":[4],"used":[5],"sliding-window":[6],"mechanism":[7,167],"in":[8,75,85,97,109,123,158,221],"Internet":[9],"of":[10,36,51,58,72,83,94,118,139,151,197,203,234],"Things":[11],"(IoT)":[12],"data":[13,23,39,41,78,87,122,141,154,159,199,216,229,239],"stream":[14],"mining,":[15],"which":[16,112,143,178],"can":[17,54,66],"divide":[18],"incoming":[20],"large":[21],"volume":[22],"into":[24],"small":[25],"segments":[26],"and":[27,45,61,91,231],"improve":[28,55],"information":[30,53,59,74,84,95],"processing":[31,60],"rate.":[32],"With":[33],"emergence":[35],"heterogeneous":[37,120,214],"IoT":[38,121,215],"streams,":[40],"forms":[42],"become":[43],"richer":[44],"more":[46],"diverse.":[47],"The":[48,126,218],"fusion":[49,117,243],"analysis":[50,233],"multimodality":[52,170],"accuracy":[57],"network":[62],"decision-making,":[63],"because":[64],"it":[65,98],"make":[67],"up":[68],"for":[69,213],"lack":[71],"some":[73],"a":[76,102,114],"single-mode":[77],"stream.":[79,160,217],"However,":[80],"representation":[82],"different":[86],"sources":[88],"is":[89,99,107,144,176,206,224],"different,":[90],"amount":[93],"contained":[96],"distinct.":[100],"Thus,":[101],"weighted":[103,116,186,242],"adaptive":[104,241],"partition":[105,212],"algorithm":[106,219],"proposed":[108,220],"this":[110,222],"article,":[111],"performs":[113],"dynamic":[115],"multisource":[119],"sliding":[124],"windows.":[125],"article":[127,223],"adopts":[128],"Gaussian":[130],"mixture":[131],"model":[132],"(GMM)":[133],"to":[134,155,192,209],"adaptively":[135,208],"determine":[136],"weights":[138],"each":[140,152],"source,":[142],"calculated":[145],"based":[146,168],"on":[147,169,226],"judgement":[149],"confidence":[150],"modal":[153],"change":[157,165,195],"Besides,":[161],"probability":[163,182],"distribution":[164,183],"detection":[166],"restricted":[171],"Boltzmann":[172],"machine":[173],"(multimodality":[174],"RBM)":[175],"proposed,":[177],"measures":[179],"joint":[181],"by":[184],"data\u2019s":[187],"energy":[188,194],"value.":[189],"Finally,":[190],"according":[191],"rate":[196],"stream,":[200],"size":[202],"window":[205],"adjusted":[207],"realize":[210],"verified":[225],"CUAVE":[228],"set":[230],"results":[235],"shows":[236],"that":[237],"under":[240],"has":[244],"better":[245],"performance.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}