{"id":"https://openalex.org/W4388308884","doi":"https://doi.org/10.1145/3588340.3588488","title":"Research on Feature Fusion Method of High Attribute Dimension Data in Internet of Things Based on Dividing Thoughts","display_name":"Research on Feature Fusion Method of High Attribute Dimension Data in Internet of Things Based on Dividing Thoughts","publication_year":2022,"publication_date":"2022-12-02","ids":{"openalex":"https://openalex.org/W4388308884","doi":"https://doi.org/10.1145/3588340.3588488"},"language":"en","primary_location":{"id":"doi:10.1145/3588340.3588488","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3588340.3588488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Big Data, IoT, and Cloud Computing","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/A5023571654","display_name":"Chuanxiang Du","orcid":"https://orcid.org/0000-0002-0768-958X"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]},{"id":"https://openalex.org/I4210122526","display_name":"Xi'an Siyuan University","ror":"https://ror.org/02nddbr13","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122526"]}],"countries":["CN","PH"],"is_corresponding":false,"raw_author_name":"Du chuan xiang","raw_affiliation_strings":["Xi'an Siyuan University/Mapua University, China/Philippines"],"raw_orcid":"https://orcid.org/0000-0002-0768-958X","affiliations":[{"raw_affiliation_string":"Xi'an Siyuan University/Mapua University, China/Philippines","institution_ids":["https://openalex.org/I137967721","https://openalex.org/I4210122526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101772993","display_name":"Wei Ling","orcid":null},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]},{"id":"https://openalex.org/I4210122526","display_name":"Xi'an Siyuan University","ror":"https://ror.org/02nddbr13","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122526"]}],"countries":["CN","PH"],"is_corresponding":false,"raw_author_name":"Wei xiu ling","raw_affiliation_strings":["Xi'an Siyuan University/Mapua University, China/Philippines"],"raw_orcid":"https://orcid.org/0009-0008-0165-4459","affiliations":[{"raw_affiliation_string":"Xi'an Siyuan University/Mapua University, China/Philippines","institution_ids":["https://openalex.org/I137967721","https://openalex.org/I4210122526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021028154","display_name":"Yuan yuan","orcid":"https://orcid.org/0009-0007-2657-2460"},"institutions":[{"id":"https://openalex.org/I4210122526","display_name":"Xi'an Siyuan University","ror":"https://ror.org/02nddbr13","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan yuan","raw_affiliation_strings":["Xi'an Siyuan University, China"],"raw_orcid":"https://orcid.org/0009-0007-2657-2460","affiliations":[{"raw_affiliation_string":"Xi'an Siyuan University, China","institution_ids":["https://openalex.org/I4210122526"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3992891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.9462000131607056,"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"}},"topics":[{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.9462000131607056,"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"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9228000044822693,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9223999977111816,"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/dimension","display_name":"Dimension (graph theory)","score":0.7531381845474243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7224971652030945},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6458016633987427},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.597461998462677},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5183706879615784},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.48743823170661926},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4755908250808716},{"id":"https://openalex.org/keywords/attribute-domain","display_name":"Attribute domain","score":0.43857502937316895},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.43356266617774963},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.42389652132987976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35804110765457153},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32183393836021423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3192565143108368},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.21889448165893555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1417645812034607}],"concepts":[{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.7531381845474243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7224971652030945},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6458016633987427},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.597461998462677},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5183706879615784},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.48743823170661926},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4755908250808716},{"id":"https://openalex.org/C75814411","wikidata":"https://www.wikidata.org/wiki/Q4818714","display_name":"Attribute domain","level":3,"score":0.43857502937316895},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.43356266617774963},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.42389652132987976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35804110765457153},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32183393836021423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3192565143108368},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.21889448165893555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1417645812034607},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3588340.3588488","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3588340.3588488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Big Data, IoT, and Cloud Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2768229290","https://openalex.org/W2795006946","https://openalex.org/W2975766084","https://openalex.org/W3013103907","https://openalex.org/W3190075737","https://openalex.org/W3196423474","https://openalex.org/W4240085721","https://openalex.org/W6775486395"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039","https://openalex.org/W2366821764"],"abstract_inverted_index":{"The":[0,186],"magnitude":[1],"of":[2,27,34,61,77,79,98,101,117,129,150,192,201],"data":[3,14,36,84,125,141,156,216],"in":[4],"the":[5,19,25,32,54,58,73,95,115,121,146,151,169,173,181,190,193,202,208,214],"sensor":[6],"is":[7,39,89,112,196,211],"increasing,":[8],"so":[9,63,164],"how":[10],"to":[11,41,65,93,166,213],"deal":[12],"with":[13],"fusion":[15,46,75,100,217],"technology":[16],"has":[17],"become":[18],"current":[20],"research":[21,187],"direction.":[22],"Aiming":[23],"at":[24],"problems":[26],"high":[28,81,122,153,182],"attribute":[29,82,123,132,139,154,183],"dimensions":[30],"and":[31,52,57,144],"number":[33,128],"big":[35],"objects,":[37],"it":[38],"necessary":[40,147],"study":[42],"an":[43,107],"efficient":[44,108],"information":[45],"algorithm,":[47,204],"which":[48,119,205],"can":[49],"better":[50,67],"estimate":[51],"understand":[53],"surrounding":[55],"environment":[56],"development":[59],"trend":[60],"things,":[62],"as":[64,165,175],"provide":[66],"decision":[68],"support.":[69],"In":[70,91],"this":[71],"paper,":[72],"feature":[74,99,148],"method":[76],"IoT(Internet":[78],"things)":[80],"dimension":[83,124,133,140,155,184],"based":[85,113],"on":[86,114],"partition":[87],"idea":[88,116],"studied.":[90],"order":[92],"improve":[94],"computational":[96],"efficiency":[97,191],"high-dimensional":[102],"IoT":[103],"data,":[104],"we":[105],"present":[106],"algorithm.":[109,218],"This":[110],"algorithm":[111,195,210],"partitioning,":[118],"cuts":[120],"into":[126],"a":[127],"relatively":[130,137],"low":[131,138],"data.":[134,185],"First,":[135],"these":[136,161],"are":[142,157,172],"processed,":[143],"then":[145],"attributes":[149],"original":[152],"calculated":[158],"by":[159,178],"using":[160],"processing":[162],"results,":[163],"ensure":[167],"that":[168,189,200,207],"results":[170],"obtained":[171,177],"same":[174],"those":[176],"directly":[179],"calculating":[180],"shows":[188,206],"proposed":[194,209],"9.362%":[197],"higher":[198],"than":[199],"traditional":[203],"superior":[212],"common":[215]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
