{"id":"https://openalex.org/W2169163691","doi":"https://doi.org/10.1504/ijiids.2012.047005","title":"Detection of variable length anomalous subsequences in data streams","display_name":"Detection of variable length anomalous subsequences in data streams","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2169163691","doi":"https://doi.org/10.1504/ijiids.2012.047005","mag":"2169163691"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijiids.2012.047005","pdf_url":null,"source":{"id":"https://openalex.org/S27556001","display_name":"International Journal of Intelligent Information and Database Systems","issn_l":"1751-5858","issn":["1751-5858","1751-5866"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5089871880","display_name":"Amany Abou Safia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amany Abou Safia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5069814126","display_name":"Zaher Al Aghbari","orcid":"https://orcid.org/0000-0003-2285-953X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zaher Al Aghbari","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":64},"biblio":{"volume":"6","issue":"3","first_page":"273","last_page":"273"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9992,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9926,"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":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7903749},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.6250032},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.61183774},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.61174875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3804905},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33728388},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13895205},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.082111806},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijiids.2012.047005","pdf_url":null,"source":{"id":"https://openalex.org/S27556001","display_name":"International Journal of Intelligent Information and Database Systems","issn_l":"1751-5858","issn":["1751-5858","1751-5866"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":31,"referenced_works":["https://openalex.org/W1484442299","https://openalex.org/W1547326327","https://openalex.org/W1576273331","https://openalex.org/W1587322954","https://openalex.org/W1826290430","https://openalex.org/W1964793108","https://openalex.org/W1968114659","https://openalex.org/W1970814655","https://openalex.org/W1988833430","https://openalex.org/W1995003166","https://openalex.org/W2070983531","https://openalex.org/W20948002","https://openalex.org/W2099767633","https://openalex.org/W2105510466","https://openalex.org/W2113049098","https://openalex.org/W2113271473","https://openalex.org/W2119939946","https://openalex.org/W2122646361","https://openalex.org/W2129281431","https://openalex.org/W2129995544","https://openalex.org/W2131904035","https://openalex.org/W2134017119","https://openalex.org/W2135039490","https://openalex.org/W2139104465","https://openalex.org/W2139956879","https://openalex.org/W2144200194","https://openalex.org/W2153753709","https://openalex.org/W2155490300","https://openalex.org/W2162193833","https://openalex.org/W2171874047","https://openalex.org/W2992792917"],"related_works":["https://openalex.org/W807005383","https://openalex.org/W4288026155","https://openalex.org/W3144654663","https://openalex.org/W2369440580","https://openalex.org/W2182399080","https://openalex.org/W2109863941","https://openalex.org/W2106570241","https://openalex.org/W1984941792","https://openalex.org/W1501624740","https://openalex.org/W1494355008"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,12,35,41,44,56,73,99,102,107,151],"problem":[3,13],"of":[4,14,43,60,98,150],"anomaly":[5],"detection":[6,139],"in":[7,34,82,131,140],"data":[8,32,83],"streams,":[9],"which":[10],"is":[11,38,59,88,106,110,154],"extracting":[15],"subsequences":[16,30,58,81,93,117],"that":[17],"do":[18],"not":[19],"match":[20],"an":[21,68],"expected":[22],"behaviour.":[23],"The":[24,85,124,148],"main":[25],"challenge":[26],"for":[27,54],"detecting":[28,55,144],"anomalous":[29,47,57,80,92,103,116],"from":[31,118],"streams":[33],"existing":[36],"techniques":[37],"to":[39,78,90,112],"determine":[40],"lengths":[42],"normal":[45,100,122],"and":[46,143,158],"subsequences.":[48,104],"Therefore,":[49],"creating":[50],"a":[51],"robust":[52,126],"model":[53,127],"critical":[61],"importance.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66],"propose":[67],"incremental":[69],"algorithm":[70,87,109,153],"based":[71],"on":[72],"dynamic":[74],"time":[75,157],"warping":[76],"technique":[77],"detect":[79,91,113],"streams.":[84],"proposed":[86,108,125,152],"able":[89,111],"under":[94],"relaxed":[95],"length":[96,115,121],"constrains":[97],"and/or":[101],"That":[105],"variable":[114,120],"among":[119],"sequences.":[123],"can":[128],"be":[129],"applied":[130],"areas":[132],"such":[133],"as":[134],"system":[135],"health":[136],"monitoring,":[137],"event":[138],"sensor":[141],"networks,":[142],"eco-system":[145],"disturbances,":[146],"etc.":[147],"cost":[149],"linear":[155],"with":[156],"memory.":[159]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2169163691","counts_by_year":[],"updated_date":"2024-12-09T13:02:10.119082","created_date":"2016-06-24"}