{"id":"https://openalex.org/W2090722357","doi":"https://doi.org/10.1145/1183614.1183774","title":"Robust periodicity detection algorithms","display_name":"Robust periodicity detection algorithms","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2090722357","doi":"https://doi.org/10.1145/1183614.1183774","mag":"2090722357"},"language":"en","primary_location":{"id":"doi:10.1145/1183614.1183774","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1183614.1183774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM international conference on Information and knowledge management  - CIKM '06","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/A5100755351","display_name":"Srinivasan Parthasarathy","orcid":"https://orcid.org/0000-0002-6062-6449"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Parthasarathy","raw_affiliation_strings":["Ohio State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087564303","display_name":"S. A. Mehta","orcid":"https://orcid.org/0009-0006-1630-3905"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Mehta","raw_affiliation_strings":["Ohio State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103115230","display_name":"S. Srinivasan","orcid":"https://orcid.org/0000-0002-4919-215X"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Srinivasan","raw_affiliation_strings":["Ohio State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.17268112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"874","last_page":"874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9914000034332275,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6626764535903931},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46247613430023193}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6626764535903931},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46247613430023193}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1183614.1183774","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1183614.1183774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM international conference on Information and knowledge management  - CIKM '06","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W27994497","https://openalex.org/W76112943","https://openalex.org/W1514558801","https://openalex.org/W1766888123","https://openalex.org/W1861465509","https://openalex.org/W1971146038","https://openalex.org/W2029030701","https://openalex.org/W2097191389","https://openalex.org/W2102892532","https://openalex.org/W2108072252","https://openalex.org/W2110134152","https://openalex.org/W2123191303","https://openalex.org/W2126310301","https://openalex.org/W2133137794","https://openalex.org/W2133554125","https://openalex.org/W2144613618"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857"],"abstract_inverted_index":{"Periodicity":[0],"detection":[1,43,83],"is":[2,45,90,107,110,114],"an":[3,115],"important":[4,14],"pre-processing":[5],"step":[6],"for":[7,32,96],"many":[8],"time":[9,22,105,148,161],"series":[10,106,149,162],"algorithms.":[11],"It":[12],"provides":[13],"information":[15],"about":[16],"the":[17,58,66,81,139,156,165,175],"structural":[18],"properties":[19],"of":[20,50,57,65,178],"a":[21,104,147,169],"series.":[23],"Feature":[24],"vectors":[25],"based":[26],"on":[27],"periodicity":[28,42],"can":[29,127],"be":[30],"used":[31],"clustering,":[33],"classification,":[34],"abnormality":[35],"detection,":[36],"and":[37,52,75,133,142],"human":[38],"motion":[39],"understanding.":[40],"The":[41,136],"task":[44],"not":[46],"difficult":[47,117],"in":[48,112,130,146],"case":[49,99],"simple":[51],"uncontaminated":[53],"signal.":[54],"Unfortunately,":[55],"most":[56],"real":[59],"datasets":[60],"exhibit":[61],"one":[62],"or":[63,109],"more":[64],"following":[67],"properties:":[68],"i)":[69],"non-stationarity,":[70],"ii)":[71],"interlaced":[72,181],"cyclic":[73],"patterns":[74],"iii)":[76],"data":[77],"contamination,":[78],"which":[79,126],"makes":[80],"period":[82],"extremely":[84,116],"challenging.":[85],"A":[86],"seemingly":[87],"straightforward":[88],"solution":[89],"to":[91,150,158],"develop":[92],"individual":[93],"specialized":[94],"algorithms":[95,125],"handling":[97],"each":[98],"separately.":[100],"However,":[101],"determining":[102],"if":[103],"non-stationary":[108,160],"contaminated":[111],"itself":[113],"task.":[118],"In":[119],"this":[120],"article,":[121],"we":[122],"propose":[123],"generic":[124],"detect":[128],"periods":[129,167],"complex,":[131],"noisy":[132],"incomplete":[134],"datasets.":[135],"algorithm":[137],"leverages":[138],"frequency":[140],"characterization":[141],"autocorrelation":[143],"structure":[144],"inherent":[145],"estimate":[151],"its":[152],"periodicity.":[153],"We":[154,172],"extend":[155],"methods":[157],"handle":[159],"by":[163],"tracking":[164],"candidate":[166],"using":[168],"Kalman":[170],"filter.":[171],"also":[173],"address":[174],"interesting":[176],"problem":[177],"finding":[179],"multiple":[180],"periodicities.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":5}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}