{"id":"https://openalex.org/W181046876","doi":"https://doi.org/10.3233/978-1-60750-606-5-791","title":"Mining Outliers with Adaptive Cutoff Update and Space Utilization (RACAS)","display_name":"Mining Outliers with Adaptive Cutoff Update and Space Utilization (RACAS)","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W181046876","doi":"https://doi.org/10.3233/978-1-60750-606-5-791","mag":"181046876"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-60750-606-5-791","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-60750-606-5-791","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/10.3233/978-1-60750-606-5-791","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067038680","display_name":"Chi-Cheong Szeto","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Szeto Chi-Cheong","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, email: csccszeto@comp.polyu.edu.hk#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, email: csccszeto@comp.polyu.edu.hk#TAB#","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110849792","display_name":"Edward Hung","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hung Edward","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, email: csehung@comp.polyu.edu.hk#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, email: csehung@comp.polyu.edu.hk#TAB#","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067038680"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04774253,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9829999804496765,"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/outlier","display_name":"Outlier","score":0.7252082824707031},{"id":"https://openalex.org/keywords/cutoff","display_name":"Cutoff","score":0.7168008685112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3836410939693451},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32621777057647705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25921499729156494},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19671845436096191}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7252082824707031},{"id":"https://openalex.org/C2778217198","wikidata":"https://www.wikidata.org/wiki/Q556977","display_name":"Cutoff","level":2,"score":0.7168008685112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3836410939693451},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32621777057647705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25921499729156494},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19671845436096191},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-60750-606-5-791","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-60750-606-5-791","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:10.3233/978-1-60750-606-5-791","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-60750-606-5-791","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W199035648","https://openalex.org/W1530232915","https://openalex.org/W1552339598","https://openalex.org/W1694960366","https://openalex.org/W2007869097","https://openalex.org/W2068483277","https://openalex.org/W2124536999","https://openalex.org/W2129281431","https://openalex.org/W2166377520"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4285208670","https://openalex.org/W3092388660","https://openalex.org/W1778838665","https://openalex.org/W2328322229","https://openalex.org/W3175879137","https://openalex.org/W3094919452","https://openalex.org/W2119262383"],"abstract_inverted_index":{"Recently":[0],"the":[1,25,29,34,46,53,82,90,148,153,160],"efficiency":[2],"of":[3,27,85,143,155],"an":[4],"outlier":[5],"detection":[6,122],"algorithm":[7],"ORCA":[8,136],"was":[9],"improved":[10],"by":[11,87],"RCS":[12,86,144],"(Randomization":[13],"with":[14,64,101,147],"faster":[15],"Cutoff":[16],"update":[17],"and":[18,32,42,62,67,99,104,145,159],"Space":[19],"utilization":[20],"after":[21],"pruning),":[22],"which":[23],"changes":[24],"frequencies":[26,47,91],"updating":[28],"cutoff":[30],"value":[31],"reclaiming":[33],"memory":[35],"space":[36],"at":[37,92],"some":[38],"pre-specified":[39],"time.":[40],"How":[41],"when":[43],"to":[44,79,95,139,157],"change":[45],"were":[48],"only":[49],"determined":[50],"empirically.":[51],"However,":[52],"optimal":[54],"setting":[55],"may":[56],"vary":[57],"for":[58],"different":[59,65,96,102,125],"data":[60,97,116,161],"sets":[61,98],"computers":[63,100],"CPU":[66,103],"disk":[68,105,150],"I/O":[69,106,151],"performance.":[70,107],"In":[71],"this":[72],"paper,":[73],"we":[74],"theoretically":[75],"formulate":[76],"two":[77],"methods":[78],"further":[80],"reduce":[81],"execution":[83],"time":[84],"dynamically":[88],"adapting":[89],"each":[93],"step":[94],"We":[108],"conducted":[109],"experiments":[110],"on":[111],"a":[112,119],"KDD":[113],"CUP":[114],"real":[115],"set":[117,162],"from":[118,134],"network":[120],"intrusion":[121],"problem":[123],"under":[124],"conditions.":[126],"The":[127],"results":[128],"show":[129],"that":[130,142],"our":[131],"substantial":[132],"time-saving":[133],"optimized":[135],"is":[137],"up":[138],"five":[140],"times":[141],"increases":[146],"relative":[149],"cost,":[152],"percentage":[154],"outliers":[156],"find":[158],"size.":[163]},"counts_by_year":[],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2016-06-24T00:00:00"}
