{"id":"https://openalex.org/W2170902455","doi":"https://doi.org/10.1145/2396761.2396816","title":"Fast and reliable anomaly detection in categorical data","display_name":"Fast and reliable anomaly detection in categorical data","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2170902455","doi":"https://doi.org/10.1145/2396761.2396816","mag":"2170902455"},"language":"en","primary_location":{"id":"doi:10.1145/2396761.2396816","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2396816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge 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/A5001634795","display_name":"Leman Akoglu","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Leman Akoglu","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068043486","display_name":"Hanghang Tong","orcid":"https://orcid.org/0000-0003-4405-3887"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanghang Tong","raw_affiliation_strings":["IBM T. J. Watson, Hawthorne, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043872748","display_name":"Jilles Vreeken","orcid":"https://orcid.org/0000-0002-2310-2806"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jilles Vreeken","raw_affiliation_strings":["University of Antwerp, Mathematics and Computer Science, Belgium"],"affiliations":[{"raw_affiliation_string":"University of Antwerp, Mathematics and Computer Science, Belgium","institution_ids":["https://openalex.org/I149213910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035605036","display_name":"Christos Faloutsos","orcid":"https://orcid.org/0000-0003-2996-9790"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christos Faloutsos","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001634795"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":8.4004,"has_fulltext":false,"cited_by_count":126,"citation_normalized_percentile":{"value":0.97605022,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"415","last_page":"424"},"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":0.9980000257492065,"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":0.9968000054359436,"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/categorical-variable","display_name":"Categorical variable","score":0.7409424781799316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.732006311416626},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5702282786369324},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.5223730206489563},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47378775477409363},{"id":"https://openalex.org/keywords/flags-register","display_name":"FLAGS register","score":0.416896790266037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36693263053894043},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.212446391582489}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7409424781799316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.732006311416626},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5702282786369324},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.5223730206489563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47378775477409363},{"id":"https://openalex.org/C69721887","wikidata":"https://www.wikidata.org/wiki/Q2600316","display_name":"FLAGS register","level":2,"score":0.416896790266037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36693263053894043},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.212446391582489},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2396761.2396816","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2396816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.359.8804","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.359.8804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/~lakoglu/pubs/12-akoglu-anomaly-categoric.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W20948002","https://openalex.org/W31165685","https://openalex.org/W37234579","https://openalex.org/W109020964","https://openalex.org/W1492581097","https://openalex.org/W1541490439","https://openalex.org/W1556344493","https://openalex.org/W1638203394","https://openalex.org/W1976625337","https://openalex.org/W1989037929","https://openalex.org/W2038819732","https://openalex.org/W2049058890","https://openalex.org/W2054658115","https://openalex.org/W2061122559","https://openalex.org/W2101460669","https://openalex.org/W2117704606","https://openalex.org/W2124066753","https://openalex.org/W2144182447","https://openalex.org/W2146160048","https://openalex.org/W2150398577","https://openalex.org/W2160342152","https://openalex.org/W2161565143","https://openalex.org/W2162774438","https://openalex.org/W2166377520","https://openalex.org/W2394993243","https://openalex.org/W2404544143","https://openalex.org/W3100944407","https://openalex.org/W4252115301","https://openalex.org/W4254182148","https://openalex.org/W4388297583","https://openalex.org/W6601514459","https://openalex.org/W6632377185"],"related_works":["https://openalex.org/W2893170260","https://openalex.org/W4242664266","https://openalex.org/W599810582","https://openalex.org/W2096151917","https://openalex.org/W586135256","https://openalex.org/W4245472405","https://openalex.org/W2498768837","https://openalex.org/W55421967","https://openalex.org/W4223559249","https://openalex.org/W2034439647"],"abstract_inverted_index":{"Spotting":[0],"anomalies":[1,27],"in":[2,13],"large":[3],"multi-dimensional":[4],"databases":[5],"is":[6],"a":[7,22,35,44],"crucial":[8],"task":[9],"with":[10],"many":[11],"applications":[12],"finance,":[14],"health":[15],"care,":[16],"security,":[17],"etc.":[18],"We":[19],"introduce":[20],"COMPREX,":[21],"new":[23],"approach":[24],"for":[25],"identifying":[26],"using":[28],"pattern-based":[29],"compression.":[30],"Informally,":[31],"our":[32],"method":[33],"finds":[34],"collection":[36],"of":[37,43],"dictionaries":[38],"that":[39],"describe":[40],"the":[41,54],"norm":[42],"database":[45],"succinctly,":[46],"and":[47],"subsequently":[48],"flags":[49],"those":[50],"points":[51],"dissimilar":[52],"to":[53],"norm---with":[55],"high":[56],"compression":[57],"cost---as":[58],"anomalies.":[59]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}