{"id":"https://openalex.org/W2124855565","doi":"https://doi.org/10.1109/tkde.2007.190691","title":"Discovering and Explaining Abnormal Nodes in Semantic Graphs","display_name":"Discovering and Explaining Abnormal Nodes in Semantic Graphs","publication_year":2008,"publication_date":"2008-07-03","ids":{"openalex":"https://openalex.org/W2124855565","doi":"https://doi.org/10.1109/tkde.2007.190691","mag":"2124855565"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2007.190691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2007.190691","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5087480257","display_name":"Shou-De Lin","orcid":"https://orcid.org/0000-0001-9970-1250"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shou-de Lin","raw_affiliation_strings":["Computer Science and Information Engineering Department, National Taiwan University, Taipei, Taiwan","Comput. Sci. & Inf. Eng. dept, Nat. Taiwan Univ., Taipei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Information Engineering Department, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Comput. Sci. & Inf. Eng. dept, Nat. Taiwan Univ., Taipei","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059444198","display_name":"Hans Chalupsky","orcid":"https://orcid.org/0000-0002-8902-1662"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. Chalupsky","raw_affiliation_strings":["USC Information Sciences Institute, Marina del Rey, CA, USA","[Information Sciences Institute]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USC Information Sciences Institute, Marina del Rey, CA, USA","institution_ids":[]},{"raw_affiliation_string":"[Information Sciences Institute]","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5259,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.96338477,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":"8","first_page":"1039","last_page":"1052"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9937999844551086,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.989799976348877,"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/computer-science","display_name":"Computer science","score":0.867966890335083},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5086182355880737},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4894763231277466},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.45836126804351807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4304627478122711},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4243907928466797},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.41406843066215515},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4116131365299225},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3766988217830658},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3453540802001953},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34255650639533997},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3414902687072754},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3236393332481384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.867966890335083},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5086182355880737},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4894763231277466},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.45836126804351807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4304627478122711},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4243907928466797},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.41406843066215515},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4116131365299225},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3766988217830658},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3453540802001953},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34255650639533997},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3414902687072754},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3236393332481384},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tkde.2007.190691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2007.190691","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:140.112.114.62:246246/177753","is_oa":false,"landing_page_url":"http://ntur.lib.ntu.edu.tw/bitstream/246246/177753/1/TKDE08.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306402491","display_name":"NTUR (\u81fa\u7063\u6a5f\u69cb\u5178\u85cf)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I16733864","host_organization_name":"National Taiwan University","host_organization_lineage":["https://openalex.org/I16733864"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.323.5234","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.323.5234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.csie.ntu.edu.tw/~sdlin/publication/TKDE08.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.72.5219","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.5219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.isi.edu/~hans/publications/TKDE-2007-draft.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306110","display_name":"U.S. Department of Homeland Security","ror":"https://ror.org/00jyr0d86"},{"id":"https://openalex.org/F4320308668","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W74007419","https://openalex.org/W950821216","https://openalex.org/W1484732323","https://openalex.org/W1515653062","https://openalex.org/W1538822093","https://openalex.org/W1583050638","https://openalex.org/W1594022926","https://openalex.org/W1607205948","https://openalex.org/W1727506036","https://openalex.org/W1784514558","https://openalex.org/W1806329564","https://openalex.org/W1854214752","https://openalex.org/W1903894141","https://openalex.org/W1963624219","https://openalex.org/W1997414747","https://openalex.org/W2040007391","https://openalex.org/W2048452093","https://openalex.org/W2061901927","https://openalex.org/W2071018679","https://openalex.org/W2084947386","https://openalex.org/W2086236971","https://openalex.org/W2104017387","https://openalex.org/W2124422284","https://openalex.org/W2124965089","https://openalex.org/W2127345773","https://openalex.org/W2129281431","https://openalex.org/W2129712609","https://openalex.org/W2131417257","https://openalex.org/W2135306236","https://openalex.org/W2136358012","https://openalex.org/W2138621811","https://openalex.org/W2140353136","https://openalex.org/W2145551210","https://openalex.org/W2151481988","https://openalex.org/W2166557397","https://openalex.org/W2183832585","https://openalex.org/W2398854682","https://openalex.org/W4206727053","https://openalex.org/W4211225539","https://openalex.org/W4212848460","https://openalex.org/W4242855410","https://openalex.org/W4253461361","https://openalex.org/W6630626424","https://openalex.org/W6639055396","https://openalex.org/W6639897565","https://openalex.org/W6675456754","https://openalex.org/W6679197216","https://openalex.org/W6684512959","https://openalex.org/W6712500889"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2017776670","https://openalex.org/W2952760143","https://openalex.org/W2347897961","https://openalex.org/W2979236518","https://openalex.org/W2358318464","https://openalex.org/W2340870721","https://openalex.org/W3091955004"],"abstract_inverted_index":{"An":[0],"important":[1],"problem":[2],"in":[3,14,32,45,104,192],"the":[4,87,94,105,109,123,149,157,166],"area":[5],"of":[6,60,108],"homeland":[7],"security":[8],"is":[9],"to":[10,74,85,92,116,155,187],"identify":[11,75],"suspicious":[12,43,80],"entities":[13],"large":[15,46,163],"datasets.":[16],"Although":[17],"there":[18,35],"are":[19,53],"methods":[20],"from":[21],"knowledge":[22],"discovery":[23,129,146],"and":[24,47,71,130,197],"data":[25,190],"mining":[26],"(KDD)":[27],"focusing":[28],"on":[29,136],"finding":[30],"anomalies":[31],"numerical":[33],"datasets,":[34],"has":[36,91],"been":[37],"little":[38],"work":[39],"aimed":[40],"at":[41],"discovering":[42,79],"instances":[44],"complex":[48,189],"semantic":[49,139],"graphs":[50],"whose":[51],"nodes":[52],"richly":[54],"connected":[55],"with":[56],"many":[57],"different":[58,138],"types":[59],"links.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65,82,111,133,169],"describe":[66,112],"a":[67,89,162,193],"novel,":[68],"domain":[69],"independent":[70],"unsupervised":[72,151],"framework":[73],"such":[76],"instances.":[77],"Besides":[78],"instances,":[81],"believe":[83],"that":[84,144,172],"complete":[86],"process,":[88],"system":[90,147],"convince":[93],"users":[95],"by":[96,161],"providing":[97],"understandable":[98,120],"explanations":[99,121,180],"for":[100,122,181],"its":[101,182],"findings.":[102],"Therefore,":[103],"second":[106],"part":[107],"paper":[110],"several":[113,137],"explanation":[114,131,174],"mechanisms":[115],"automatically":[117],"generate":[118],"human":[119,167,185],"discovered":[124],"results.":[125],"To":[126],"evaluate":[127],"our":[128,145,173],"systems,":[132],"perform":[134,188],"experiments":[135],"graphs.":[140],"The":[141],"results":[142],"show":[143],"outperforms":[148],"state-of-the-art":[150],"network":[152,160],"algorithms":[153],"used":[154],"analyze":[156],"9/11":[158],"terrorist":[159],"margin.":[164],"Additionally,":[165],"study":[168],"conducted":[170],"demonstrates":[171],"system,":[175],"which":[176],"provides":[177],"natural":[178],"language":[179],"findings,":[183],"allowed":[184],"subjects":[186],"analysis":[191],"much":[194],"more":[195],"efficient":[196],"accurate":[198],"manner.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}