{"id":"https://openalex.org/W1497400699","doi":null,"title":"Measuring Interestingness \u2013 Perspectives on Anomaly Detection","display_name":"Measuring Interestingness \u2013 Perspectives on Anomaly Detection","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W1497400699","mag":"1497400699"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.904.5429","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.904.5429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://iiste.org/Journals/index.php/CEIS/article/download/3846/3917/","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5082479164","display_name":"Adnan Masood","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I203088144","display_name":"Nova Southeastern University","ror":"https://ror.org/042bbge36","country_code":"US","type":"education","lineage":["https://openalex.org/I203088144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adnan Masood","raw_affiliation_strings":["Nova Southeastern University;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nova Southeastern University;","institution_ids":["https://openalex.org/I203088144"]}]},{"author_position":"last","author":{"id":null,"display_name":"Stephen Soong","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Soong","raw_affiliation_strings":["Cornell University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3401,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.9400744,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"4","issue":"1","first_page":"29","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.8955000042915344,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.8955000042915344,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.09560000151395798,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.0006000000284984708,"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/interestingness-measures","display_name":"interestingness measures","score":0.9909999966621399},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"anomaly detection","score":0.9909999966621399},{"id":"https://openalex.org/keywords/novelty","display_name":"novelty","score":0.7649999856948853},{"id":"https://openalex.org/keywords/association-rule-mining","display_name":"association rule mining","score":0.734000027179718},{"id":"https://openalex.org/keywords/rule-interestingness","display_name":"rule interestingness","score":0.7409999966621399},{"id":"https://openalex.org/keywords/knowledge-discovery","display_name":"knowledge discovery","score":0.6480000019073486},{"id":"https://openalex.org/keywords/pattern-mining","display_name":"pattern mining","score":0.44999998807907104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8399922847747803},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.7051630020141602},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5755905508995056},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5522857308387756},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.5049934983253479},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4969461262226105},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44702979922294617},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42248067259788513},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41908949613571167},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.381182461977005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3573005199432373},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.904.5429","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.904.5429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://iiste.org/Journals/index.php/CEIS/article/download/3846/3917/","raw_type":"text"},{"id":"mag:1497400699","doi":null,"is_oa":false,"landing_page_url":"http://pakacademicsearch.com/pdf-files/com/506/29-39%20Vol%204,%20No%201%20(2013).pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2764346231","display_name":"Computer Engineering and Intelligent Systems","issn_l":"2222-1727","issn":["2222-1727","2222-2871"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Computer Engineering and Intelligent Systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W37107183","https://openalex.org/W48920344","https://openalex.org/W54651791","https://openalex.org/W91121345","https://openalex.org/W131532953","https://openalex.org/W135311109","https://openalex.org/W1484413656","https://openalex.org/W1539171341","https://openalex.org/W1569697581","https://openalex.org/W1578375653","https://openalex.org/W1584197556","https://openalex.org/W1595014231","https://openalex.org/W1601529450","https://openalex.org/W1887038067","https://openalex.org/W1935986945","https://openalex.org/W1973996621","https://openalex.org/W1978387271","https://openalex.org/W1997585986","https://openalex.org/W2046335732","https://openalex.org/W2095345875","https://openalex.org/W2095952922","https://openalex.org/W2097704191","https://openalex.org/W2102297485","https://openalex.org/W2109272824","https://openalex.org/W2120943950","https://openalex.org/W2122646361","https://openalex.org/W2146950091","https://openalex.org/W2166559705","https://openalex.org/W2352757030","https://openalex.org/W2535884801","https://openalex.org/W2607686895","https://openalex.org/W2688249815","https://openalex.org/W2735496994"],"related_works":["https://openalex.org/W7097535535","https://openalex.org/W2293584162","https://openalex.org/W2316015848","https://openalex.org/W793744088","https://openalex.org/W3084647663","https://openalex.org/W1918423381","https://openalex.org/W2793469892","https://openalex.org/W2189532446","https://openalex.org/W2217542537","https://openalex.org/W7098918526"],"abstract_inverted_index":{"We":[0,121],"live":[1],"in":[2,35,43,96],"a":[3,94],"data":[4,48],"deluge.":[5],"Our":[6],"ability":[7],"to":[8,56,60,77],"gather,":[9],"distribute,":[10],"and":[11,80,110,119,123,132],"store":[12],"information":[13],"has":[14],"grown":[15],"immensely":[16],"over":[17],"the":[18,27,36,44,51,64,107,111,125],"past":[19],"two":[20],"decades.":[21],"With":[22],"this":[23,39,102],"overabundance":[24],"of":[25,38,46,63,70,114,128],"data,":[26,40],"core":[28],"knowledge":[29],"discovery":[30],"problem":[31],"is":[32,55,75,81,89],"no":[33],"longer":[34],"gathering":[37],"but":[41],"rather":[42],"retrieving":[45],"relevant":[47],"efficiently.":[49],"While":[50],"most":[52],"common":[53],"approach":[54],"use":[57],"rule":[58,66],"interestingness":[59,74,115,131],"filter":[61],"results":[62],"association":[65],"generation":[67],"process,":[68],"study":[69],"literature":[71,129],"suggests":[72,93],"that":[73],"difficult":[76],"define":[78],"quantitatively":[79],"best":[82],"summarized":[83],"as,":[84],"\u201ca":[85],"record":[86],"or":[87],"pattern":[88],"interesting":[90],"if":[91],"it":[92],"change":[95],"an":[97],"established":[98],"model.":[99],"\u201d":[100],"In":[101],"paper":[103],"we":[104],"elaborate":[105],"on":[106],"term":[108],"interestingness,":[109],"surrounding":[112,130],"taxonomy":[113],"measures,":[116],"anomalies,":[117],"novelty":[118],"surprisingness.":[120],"review":[122],"summarize":[124],"current":[126],"state":[127],"associated":[133],"approaches.":[134]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2016-06-24T00:00:00"}