{"id":"https://openalex.org/W2145134722","doi":"https://doi.org/10.1145/2484838.2484883","title":"Mining multidimensional contextual outliers from categorical relational data","display_name":"Mining multidimensional contextual outliers from categorical relational data","publication_year":2013,"publication_date":"2013-07-29","ids":{"openalex":"https://openalex.org/W2145134722","doi":"https://doi.org/10.1145/2484838.2484883","mag":"2145134722"},"language":"en","primary_location":{"id":"doi:10.1145/2484838.2484883","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484838.2484883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"},"type":"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/A5051046852","display_name":"Guanting Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Guanting Tang","raw_affiliation_strings":["Simon Fraser University"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101609697","display_name":"James Bailey","orcid":"https://orcid.org/0000-0002-3769-3811"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"James Bailey","raw_affiliation_strings":["The University of Melbourne","The University of Melbourne,"],"affiliations":[{"raw_affiliation_string":"The University of Melbourne","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"The University of Melbourne,","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062247330","display_name":"Jian Pei","orcid":"https://orcid.org/0000-0002-2200-8711"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jian Pei","raw_affiliation_strings":["Simon Fraser University"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104084428","display_name":"Guozhu Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guozhu Dong","raw_affiliation_strings":["Wright State University","Wright State University;"],"affiliations":[{"raw_affiliation_string":"Wright State University","institution_ids":["https://openalex.org/I19648265"]},{"raw_affiliation_string":"Wright State University;","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051046852"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":3.3664,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92903596,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9872000217437744,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9815000295639038,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8955949544906616},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.8845929503440857},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.8359671831130981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6920059323310852},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6166952848434448},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5707914233207703},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5693120956420898},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5321259498596191},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5263144969940186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5073956847190857},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4399653971195221},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4141008257865906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3051292598247528},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18333372473716736},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10014006495475769}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8955949544906616},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8845929503440857},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8359671831130981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6920059323310852},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6166952848434448},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5707914233207703},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5693120956420898},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5321259498596191},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5263144969940186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5073956847190857},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4399653971195221},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4141008257865906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3051292598247528},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18333372473716736},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10014006495475769},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2484838.2484883","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484838.2484883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference on Scientific and Statistical Database Management","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":37,"referenced_works":["https://openalex.org/W76382867","https://openalex.org/W133743037","https://openalex.org/W199035648","https://openalex.org/W1481707143","https://openalex.org/W1499399937","https://openalex.org/W1503729935","https://openalex.org/W1517113043","https://openalex.org/W1572006309","https://openalex.org/W1585646276","https://openalex.org/W1590183325","https://openalex.org/W1974534365","https://openalex.org/W1991758224","https://openalex.org/W2007087405","https://openalex.org/W2026413985","https://openalex.org/W2038812321","https://openalex.org/W2040646033","https://openalex.org/W2061607714","https://openalex.org/W2087615914","https://openalex.org/W2092103580","https://openalex.org/W2095345875","https://openalex.org/W2097017789","https://openalex.org/W2097627964","https://openalex.org/W2103201239","https://openalex.org/W2107853276","https://openalex.org/W2122646361","https://openalex.org/W2128558974","https://openalex.org/W2129187953","https://openalex.org/W2133990480","https://openalex.org/W2134255060","https://openalex.org/W2137130182","https://openalex.org/W2144182447","https://openalex.org/W2147191819","https://openalex.org/W2162034534","https://openalex.org/W2162774438","https://openalex.org/W2170902455","https://openalex.org/W2394993243","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2122407924","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729"],"abstract_inverted_index":{"A":[0],"wide":[1],"range":[2],"of":[3,12,22,51,65,77],"methods":[4],"have":[5],"been":[6],"proposed":[7],"for":[8],"detecting":[9],"different":[10],"types":[11],"outliers":[13,53],"in":[14,27],"full":[15],"space":[16],"and":[17,30,94],"subspaces.":[18],"However,":[19],"the":[20],"interpretability":[21],"outliers,":[23],"that":[24,67],"is,":[25],"explaining":[26],"what":[28,32],"ways":[29],"to":[31,97],"extent":[33],"an":[34,37],"object":[35],"is":[36,61],"outlier,":[38],"remains":[39],"a":[40,49,58,62,72,91],"critical":[41],"open":[42],"issue.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"develop":[48,90],"notion":[50],"contextual":[52,59],"on":[54,79,85],"categorical":[55],"data.":[56],"Intuitively,":[57],"outlier":[60],"small":[63],"group":[64,76],"objects":[66,78],"share":[68],"strong":[69],"similarity":[70],"with":[71],"significantly":[73],"larger":[74],"reference":[75],"some":[80,86],"attributes,":[81],"but":[82],"deviate":[83],"dramatically":[84],"other":[87],"attributes.":[88],"We":[89],"detection":[92],"algorithm,":[93],"conduct":[95],"experiments":[96],"evaluate":[98],"our":[99],"approach.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}