{"id":"https://openalex.org/W2577035491","doi":"https://doi.org/10.3233/978-1-61499-672-9-12","title":"Constant Time EXPected Similarity Estimation for Large-Scale Anomaly Detection","display_name":"Constant Time EXPected Similarity Estimation for Large-Scale Anomaly Detection","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2577035491","doi":"https://doi.org/10.3233/978-1-61499-672-9-12","mag":"2577035491"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-672-9-12","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-672-9-12","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/978-1-61499-672-9-12","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111371136","display_name":"\u015c. Marku\u015d","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Schneider Markus","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016544515","display_name":"Wolfgang Ertel","orcid":"https://orcid.org/0009-0005-8967-3766"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ertel Wolfgang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5116359484","display_name":"Palm G uuml nther","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Palm Günther","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111371136"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25364024,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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":0.9991000294685364,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6001729965209961},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5784709453582764},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.5650842785835266},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5644750595092773},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4801208972930908},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.44137316942214966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4184761941432953},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35157474875450134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33516383171081543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.328837513923645},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15667474269866943},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1521250605583191},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11231681704521179},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09612143039703369}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6001729965209961},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5784709453582764},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.5650842785835266},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5644750595092773},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4801208972930908},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.44137316942214966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4184761941432953},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35157474875450134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33516383171081543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.328837513923645},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15667474269866943},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1521250605583191},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11231681704521179},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09612143039703369},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-672-9-12","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-672-9-12","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/978-1-61499-672-9-12","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-672-9-12","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W597610935","https://openalex.org/W1565627164","https://openalex.org/W1635389253","https://openalex.org/W1969048569","https://openalex.org/W1976338956","https://openalex.org/W1992208280","https://openalex.org/W1998710743","https://openalex.org/W2096840748","https://openalex.org/W2099973661","https://openalex.org/W2101946706","https://openalex.org/W2105875671","https://openalex.org/W2122646361","https://openalex.org/W2134192056","https://openalex.org/W2137130182","https://openalex.org/W2147943944","https://openalex.org/W2212660284","https://openalex.org/W2296319761","https://openalex.org/W2335728318","https://openalex.org/W2338990760","https://openalex.org/W2951336937"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"A":[0],"new":[1],"algorithm":[2],"named":[3],"EXPected":[4],"Similarity":[5],"Estimation":[6],"(EXPOSE)":[7],"was":[8],"recently":[9],"proposed":[10],"to":[11,47],"solve":[12],"the":[13,30],"problem":[14],"of":[15,34,40],"large-scale":[16],"anomaly":[17],"detection.":[18],"It":[19],"is":[20],"a":[21,38,49],"non-parametric":[22],"and":[23,51],"distribution":[24],"free":[25],"kernel":[26],"method":[27],"based":[28],"on":[29],"Hilbert":[31],"space":[32],"embedding":[33],"probability":[35],"measures.":[36],"Given":[37],"dataset":[39],"n":[41],"samples,":[42],"EXPOSE":[43],"takes":[44],"𝒪(n)":[45],"time":[46,53],"build":[48],"model":[50],"𝒪(1)":[52],"per":[54],"prediction.":[55]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}