{"id":"https://openalex.org/W3016061683","doi":"https://doi.org/10.1109/dsaa46601.2019.9062728","title":"Don't Cry Wolf","display_name":"Don't Cry Wolf","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3016061683","doi":"https://doi.org/10.1109/dsaa46601.2019.9062728","mag":"3016061683"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa46601.2019.9062728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa46601.2019.9062728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5080348933","display_name":"Philip Brown","orcid":"https://orcid.org/0009-0004-6425-0452"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. E. Brown","raw_affiliation_strings":["AT&T Labs - Research, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs - Research, NJ","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086114454","display_name":"Tamraparni Dasu","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T Dasu","raw_affiliation_strings":["AT&T Labs - Research, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs - Research, NJ","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003221932","display_name":"Yaron Kanza","orcid":"https://orcid.org/0000-0001-6056-595X"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Kanza","raw_affiliation_strings":["AT&T Labs - Research, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs - Research, NJ","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108189263","display_name":"E. Koutsofios","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E. Koutsofios","raw_affiliation_strings":["AT&T Labs - Research, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs - Research, NJ","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032363432","display_name":"Rajat Malik","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Malik","raw_affiliation_strings":["AT&T Labs - Research, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs - Research, NJ","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088315797","display_name":"Divesh Srivastava","orcid":"https://orcid.org/0000-0002-7609-9217"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Srivastava","raw_affiliation_strings":["AT&T Labs - Research, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs - Research, NJ","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1283103587"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21635186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"616","last_page":"617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"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":0.9987000226974487,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9932000041007996,"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":0.7523429989814758},{"id":"https://openalex.org/keywords/entertainment","display_name":"Entertainment","score":0.5904026031494141},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5518537163734436},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.475807249546051},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4731777012348175},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.46782320737838745},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.44809770584106445},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3733792304992676},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3293468952178955},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28962844610214233},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10820761322975159}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7523429989814758},{"id":"https://openalex.org/C512170562","wikidata":"https://www.wikidata.org/wiki/Q173799","display_name":"Entertainment","level":2,"score":0.5904026031494141},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5518537163734436},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.475807249546051},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4731777012348175},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.46782320737838745},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.44809770584106445},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3733792304992676},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3293468952178955},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28962844610214233},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10820761322975159},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa46601.2019.9062728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa46601.2019.9062728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W5474427","https://openalex.org/W2472645085","https://openalex.org/W2364043378","https://openalex.org/W2621650471","https://openalex.org/W2284468361","https://openalex.org/W3190734578","https://openalex.org/W1595351371","https://openalex.org/W91065195","https://openalex.org/W3191523773","https://openalex.org/W2964556660"],"abstract_inverted_index":{"Real":[0],"world":[1],"anomaly":[2],"management":[3],"systems":[4],"oversee":[5],"thousands":[6],"of":[7,16,33,57,65,77,85,91],"dynamic":[8],"data":[9,105],"streams":[10,41],"and":[11,36,50,67,80],"generate":[12],"an":[13],"overwhelming":[14],"number":[15],"alerts.":[17],"As":[18],"a":[19,29],"consequence,":[20],"important":[21,66],"alerts":[22,58],"often":[23],"go":[24],"unnoticed":[25],"until":[26],"there":[27],"is":[28],"crisis.":[30],"The":[31],"absence":[32],"ground":[34],"truth,":[35],"the":[37,40,55],"fact":[38],"that":[39,74],"are":[42],"constantly":[43],"changing":[44],"(new":[45],"content,":[46],"new":[47],"applications,":[48],"software":[49],"hardware":[51],"changes)":[52],"makes":[53],"assessing":[54],"value":[56],"difficult.":[59],"In":[60],"order":[61],"to":[62],"identify":[63],"groups":[64],"actionable":[68],"alerts,":[69],"we":[70],"propose:":[71],"(1)":[72],"superalerts":[73],"reflect":[75],"characteristics":[76],"persistence,":[78],"pervasiveness":[79],"priority,":[81],"(2)":[82],"three":[83,89],"types":[84,90],"super-alerting":[86],"based":[87],"on":[88],"aggregations":[92],"and,":[93],"(3)":[94],"corresponding":[95],"metrics":[96],"for":[97],"evaluating":[98],"them.":[99],"We":[100],"demonstrate":[101],"using":[102],"real-world":[103],"entertainment":[104],"streams.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2020-04-17T00:00:00"}