{"id":"https://openalex.org/W2238738994","doi":"https://doi.org/10.1007/978-3-642-40823-6_26","title":"Noise Identification in Multivariate Time Series Modelling with Divergence Approach","display_name":"Noise Identification in Multivariate Time Series Modelling with Divergence Approach","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2238738994","doi":"https://doi.org/10.1007/978-3-642-40823-6_26","mag":"2238738994"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-40823-6_26","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-40823-6_26","pdf_url":null,"source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","raw_type":"book-chapter"},"type":"book-chapter","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/A5022426516","display_name":"Ryszard Szupiluk","orcid":"https://orcid.org/0000-0002-4416-7131"},"institutions":[{"id":"https://openalex.org/I18193975","display_name":"SGH Warsaw School of Economics","ror":"https://ror.org/032cph770","country_code":"PL","type":"education","lineage":["https://openalex.org/I18193975"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Ryszard Szupiluk","raw_affiliation_strings":["Warsaw School of Economics, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Warsaw School of Economics, Warsaw, Poland","institution_ids":["https://openalex.org/I18193975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022426516"],"corresponding_institution_ids":["https://openalex.org/I18193975"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24414169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"327","last_page":"334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9995999932289124,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9995999932289124,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9944999814033508,"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/constructive","display_name":"Constructive","score":0.7430840730667114},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.7379118800163269},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6987013816833496},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6727813482284546},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.608224630355835},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5716659426689148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5628049969673157},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5265018343925476},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5209673643112183},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4760013520717621},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4592658281326294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44885796308517456},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4287002384662628},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24931925535202026},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.08926886320114136},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.05447375774383545}],"concepts":[{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.7430840730667114},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.7379118800163269},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6987013816833496},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6727813482284546},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.608224630355835},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5716659426689148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5628049969673157},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5265018343925476},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5209673643112183},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4760013520717621},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4592658281326294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44885796308517456},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4287002384662628},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24931925535202026},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.08926886320114136},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.05447375774383545},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-40823-6_26","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-40823-6_26","pdf_url":null,"source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W59009386","https://openalex.org/W138813470","https://openalex.org/W1246381107","https://openalex.org/W1489793438","https://openalex.org/W1541528797","https://openalex.org/W1543901720","https://openalex.org/W1546395807","https://openalex.org/W1548802052","https://openalex.org/W1558034244","https://openalex.org/W1563527684","https://openalex.org/W1599365322","https://openalex.org/W1603903339","https://openalex.org/W1902027874","https://openalex.org/W1986775991","https://openalex.org/W1993387039","https://openalex.org/W2002011878","https://openalex.org/W2099741732","https://openalex.org/W2124776405","https://openalex.org/W2294971837","https://openalex.org/W2313953460","https://openalex.org/W2404400936","https://openalex.org/W2486573720","https://openalex.org/W2912934387","https://openalex.org/W2916837318","https://openalex.org/W3146166473","https://openalex.org/W4205778870","https://openalex.org/W4229539396","https://openalex.org/W4236762322","https://openalex.org/W4239414618","https://openalex.org/W4241115065"],"related_works":["https://openalex.org/W4311883357","https://openalex.org/W94411513","https://openalex.org/W2377770720","https://openalex.org/W2113626999","https://openalex.org/W160889949","https://openalex.org/W2364696089","https://openalex.org/W309910862","https://openalex.org/W4210637712","https://openalex.org/W1861848143","https://openalex.org/W2118640767"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}