{"id":"https://openalex.org/W2540776683","doi":"https://doi.org/10.1109/ccis.2012.6664605","title":"Online query algorithm of dynamic time sequences based on fast fourier transform","display_name":"Online query algorithm of dynamic time sequences based on fast fourier transform","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2540776683","doi":"https://doi.org/10.1109/ccis.2012.6664605","mag":"2540776683"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2012.6664605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2012.6664605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","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/A5081341652","display_name":"Zichun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zichun Zhang","raw_affiliation_strings":["School of Automation and Electrical Engineering, Beijing University of Science and Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Electrical Engineering, Beijing University of Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058111369","display_name":"Yongdan Liu","orcid":"https://orcid.org/0000-0002-3254-7639"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongdan Liu","raw_affiliation_strings":["Information Management Department, Nanjing Political Work College"],"affiliations":[{"raw_affiliation_string":"Information Management Department, Nanjing Political Work College","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082241586","display_name":"Guo Xiao-yun","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyun Guo","raw_affiliation_strings":["School of Information Science and Technology, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003963533","display_name":"Zhu Jian-hua","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianhua Zhu","raw_affiliation_strings":["Information Management Department, Nanjing Political Work College"],"affiliations":[{"raw_affiliation_string":"Information Management Department, Nanjing Political Work College","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081341652"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32720494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1346","last_page":"1352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.953499972820282,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9211999773979187,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/computer-science","display_name":"Computer science","score":0.7195143103599548},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.629865288734436},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6032977104187012},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.566515326499939},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5361044406890869},{"id":"https://openalex.org/keywords/discrete-fourier-transform","display_name":"Discrete Fourier transform (general)","score":0.42803680896759033},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.3919292688369751},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37699487805366516},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3453417718410492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29404550790786743},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.26357531547546387},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.21857422590255737},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1815270483493805},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07453975081443787}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7195143103599548},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.629865288734436},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6032977104187012},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.566515326499939},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5361044406890869},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.42803680896759033},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.3919292688369751},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37699487805366516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3453417718410492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29404550790786743},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.26357531547546387},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.21857422590255737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1815270483493805},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07453975081443787},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2012.6664605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2012.6664605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2027294427","https://openalex.org/W2099057411","https://openalex.org/W2111440106","https://openalex.org/W2165796148","https://openalex.org/W2999505802","https://openalex.org/W4232534713","https://openalex.org/W6657227557"],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2012019886","https://openalex.org/W2019538911","https://openalex.org/W2467200550","https://openalex.org/W1996805379","https://openalex.org/W4234584818","https://openalex.org/W2516295475","https://openalex.org/W2766639751","https://openalex.org/W2390401148"],"abstract_inverted_index":{"An":[0],"algorithm":[1,22,89],"of":[2,6,16,70],"online":[3,71,96],"similarity":[4,76],"query":[5,72],"dynamic":[7,37],"time":[8,17,38,42,57],"sequences":[9,18,39,43,79],"is":[10],"proposed":[11,88],"as":[12,27],"for":[13],"the":[14,33,75,87,95],"need":[15],"real-time":[19],"analysis.":[20],"This":[21],"uses":[23],"improved":[24],"Euclidean":[25],"Distance":[26],"similar":[28,34,97],"measurement":[29],"and":[30,40,66,80,92],"then":[31],"evaluates":[32],"distance":[35],"between":[36,77],"pattern":[41,47,81],"in":[44],"a":[45],"batch":[46],"using":[48],"Fast":[49],"Fourier":[50],"Transform.":[51],"In":[52],"order":[53],"to":[54,62],"shorten":[55],"waiting":[56],"prediction":[58,78],"patterns":[59],"are":[60],"used":[61],"predict":[63],"feature":[64],"value":[65],"accomplish":[67],"fast":[68],"response":[69],"by":[73],"comparing":[74],"sequences.":[82],"Simulation":[83],"results":[84],"show":[85],"that":[86],"can":[90],"efficiently":[91],"correctly":[93],"solve":[94],"query.":[98]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
