{"id":"https://openalex.org/W2941636631","doi":"https://doi.org/10.1007/978-3-030-18576-3_8","title":"Efficient Mining of Event Periodicity in Data Series","display_name":"Efficient Mining of Event Periodicity in Data Series","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2941636631","doi":"https://doi.org/10.1007/978-3-030-18576-3_8","mag":"2941636631"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-18576-3_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-18576-3_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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 Computer Science","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/A5103819111","display_name":"Hua Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hua Yuan","raw_affiliation_strings":["School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, 611731, China"],"affiliations":[{"raw_affiliation_string":"School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071508227","display_name":"Yu Qian","orcid":"https://orcid.org/0000-0003-0373-9815"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Qian","raw_affiliation_strings":["School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, 611731, China"],"affiliations":[{"raw_affiliation_string":"School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012421012","display_name":"Mengna Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengna Bai","raw_affiliation_strings":["School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, 611731, China"],"affiliations":[{"raw_affiliation_string":"School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, 611731, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103819111"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.1903,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74284304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9995999932289124,"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/T12205","display_name":"Time Series Analysis and Forecasting","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/T11106","display_name":"Data Management and Algorithms","score":0.9693999886512756,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9690999984741211,"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":0.7241376042366028},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7091318368911743},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5716012716293335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5171288847923279},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49593982100486755},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4912111163139343},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4862064719200134},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.45899325609207153},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2030746340751648},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08393660187721252},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07033762335777283}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7241376042366028},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7091318368911743},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5716012716293335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5171288847923279},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49593982100486755},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4912111163139343},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4862064719200134},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.45899325609207153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2030746340751648},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08393660187721252},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07033762335777283},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-18576-3_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-18576-3_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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 Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W27994497","https://openalex.org/W180183775","https://openalex.org/W1493210464","https://openalex.org/W1565075244","https://openalex.org/W1965555277","https://openalex.org/W2006439594","https://openalex.org/W2025804044","https://openalex.org/W2042591571","https://openalex.org/W2044023374","https://openalex.org/W2050400354","https://openalex.org/W2058168013","https://openalex.org/W2065122990","https://openalex.org/W2085660650","https://openalex.org/W2095407008","https://openalex.org/W2101823270","https://openalex.org/W2108072252","https://openalex.org/W2109192929","https://openalex.org/W2115826098","https://openalex.org/W2117149360","https://openalex.org/W2118887058","https://openalex.org/W2126310301","https://openalex.org/W2126884435","https://openalex.org/W2128061541","https://openalex.org/W2130778342","https://openalex.org/W2137810258","https://openalex.org/W2148500771","https://openalex.org/W2151580670","https://openalex.org/W2157298915","https://openalex.org/W2168353136","https://openalex.org/W2339311053","https://openalex.org/W2767575029","https://openalex.org/W2767867000","https://openalex.org/W3147178137"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W3161249280","https://openalex.org/W2267059662","https://openalex.org/W4390822878","https://openalex.org/W2364268683","https://openalex.org/W96888382","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
