{"id":"https://openalex.org/W181895470","doi":"https://doi.org/10.3233/978-1-60750-754-3-100","title":"Incremental Stream Clustering for Anomaly Detection and Classification","display_name":"Incremental Stream Clustering for Anomaly Detection and Classification","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W181895470","doi":"https://doi.org/10.3233/978-1-60750-754-3-100","mag":"181895470"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-60750-754-3-100","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-60750-754-3-100","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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036310638","display_name":"Holst Anders","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Holst Anders","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5022447824","display_name":"E. E. Jan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ekman Jan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0077,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86447079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9987999796867371,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9977999925613403,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9969000220298767,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7088073492050171},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6323449015617371},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.533941924571991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49889683723449707},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41772931814193726},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37989115715026855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3575752079486847},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10697305202484131}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7088073492050171},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6323449015617371},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.533941924571991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49889683723449707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41772931814193726},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37989115715026855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3575752079486847},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10697305202484131},{"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:10.3233/978-1-60750-754-3-100","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-60750-754-3-100","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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":{"We":[0],"have":[1],"designed":[2],"a":[3,33,63,80],"framework":[4,52],"for":[5],"Bayesian":[6],"Statistical":[7],"Anomaly":[8],"Detection,":[9],"called":[10],"ISC,":[11],"or":[12,74],"Incremental":[13],"Stream":[14],"Clustering.":[15],"It":[16],"learns":[17],"the":[18,25,46,51,58,71],"normal":[19],"situation":[20],"incrementally,":[21],"and":[22],"can":[23,36,42],"on":[24],"fly":[26],"detect":[27],"anomalous":[28],"cases.":[29],"When":[30],"this":[31,49],"happens,":[32],"new":[34,64],"cluster":[35],"be":[37,43],"created,":[38],"so":[39],"similar":[40],"cases":[41],"detected":[44],"in":[45],"future.":[47],"In":[48],"way,":[50],"performs":[53],"incremental":[54],"clustering,":[55],"while":[56],"at":[57],"same":[59],"time":[60],"either":[61],"classifying":[62],"case":[65],"as":[66],"belonging":[67],"to":[68],"one":[69],"of":[70],"known":[72],"clusters":[73],"indicating":[75],"that":[76],"it":[77],"is":[78],"from":[79],"previously":[81],"unseen":[82],"situation.":[83]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}