{"id":"https://openalex.org/W2131417257","doi":"https://doi.org/10.1109/icdm.2003.1250917","title":"Unsupervised link discovery in multi-relational data via rarity analysis","display_name":"Unsupervised link discovery in multi-relational data via rarity analysis","publication_year":2004,"publication_date":"2004-04-23","ids":{"openalex":"https://openalex.org/W2131417257","doi":"https://doi.org/10.1109/icdm.2003.1250917","mag":"2131417257"},"language":"en","primary_location":{"id":"doi:10.1109/icdm.2003.1250917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm.2003.1250917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Third IEEE International Conference on Data Mining","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/A5087480257","display_name":"Shou-De Lin","orcid":"https://orcid.org/0000-0001-9970-1250"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shou-de Lin","raw_affiliation_strings":["Computer Science Department, University of Southern California, USA","Department of Computer Science University of Southern California Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Southern California, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Department of Computer Science University of Southern California Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059444198","display_name":"Hans Chalupsky","orcid":"https://orcid.org/0000-0002-8902-1662"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Chalupsky","raw_affiliation_strings":["Information Sciences Institute, University of Southern California, USA","[Information Sciences Institute]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Sciences Institute, University of Southern California, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"[Information Sciences Institute]","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":21.8071,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.99158304,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"171","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9988999962806702,"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":0.9988999962806702,"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/T11106","display_name":"Data Management and Algorithms","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7583881616592407},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.6742323040962219},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5825067758560181},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5520918965339661},{"id":"https://openalex.org/keywords/link-analysis","display_name":"Link analysis","score":0.48448750376701355},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4461360275745392},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42159321904182434},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4068757891654968},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39043954014778137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3410932421684265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7583881616592407},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.6742323040962219},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5825067758560181},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5520918965339661},{"id":"https://openalex.org/C1173588","wikidata":"https://www.wikidata.org/wiki/Q6554294","display_name":"Link analysis","level":2,"score":0.48448750376701355},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4461360275745392},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42159321904182434},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4068757891654968},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39043954014778137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3410932421684265},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icdm.2003.1250917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm.2003.1250917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Third IEEE International Conference on Data Mining","raw_type":"proceedings-article"},{"id":"pmh:ADA462272","is_oa":false,"landing_page_url":"http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA462272","pdf_url":null,"source":{"id":"https://openalex.org/S4406923043","display_name":"Defense Technical Information Center (DTIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"DTIC","raw_type":"Text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.117.5025","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.5025","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/linsd_nldrarity.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.66.4178","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.66.4178","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/ICDM03.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W48920344","https://openalex.org/W112256517","https://openalex.org/W950821216","https://openalex.org/W1498047526","https://openalex.org/W1524002271","https://openalex.org/W1552339598","https://openalex.org/W1903475782","https://openalex.org/W1993157751","https://openalex.org/W2006017030","https://openalex.org/W2011726136","https://openalex.org/W2033626294","https://openalex.org/W2057117782","https://openalex.org/W2061122559","https://openalex.org/W2061901927","https://openalex.org/W2066636486","https://openalex.org/W2071744657","https://openalex.org/W2088296258","https://openalex.org/W2129281431","https://openalex.org/W2138548161","https://openalex.org/W2143092899","https://openalex.org/W3201504863","https://openalex.org/W4253461361","https://openalex.org/W6602023119","https://openalex.org/W6604585712","https://openalex.org/W6629941770","https://openalex.org/W6631428987","https://openalex.org/W6632829031","https://openalex.org/W6681389226","https://openalex.org/W6713185964"],"related_works":["https://openalex.org/W2380760159","https://openalex.org/W2305543783","https://openalex.org/W2963128065","https://openalex.org/W1598884124","https://openalex.org/W2377904462","https://openalex.org/W2074640979","https://openalex.org/W4236164951","https://openalex.org/W2322922235","https://openalex.org/W2351568302","https://openalex.org/W2471199398"],"abstract_inverted_index":{"A":[0],"significant":[1],"portion":[2],"of":[3,14,34,43,78,86,88],"knowledge":[4],"discovery":[5,36,64],"and":[6,90,97],"data":[7],"mining":[8],"research":[9],"focuses":[10],"on":[11],"finding":[12],"patterns":[13,42],"interest":[15,44],"in":[16,73],"data.":[17],"Once":[18],"a":[19,38,100],"pattern":[20],"is":[21],"found,":[22],"it":[23],"can":[24],"be":[25,48,57],"used":[26],"to":[27,56,82,99],"recognize":[28],"satisfying":[29],"instances.":[30],"The":[31],"new":[32],"area":[33],"link":[35,63],"requires":[37],"complementary":[39],"approach,":[40],"since":[41],"might":[45,51],"not":[46],"yet":[47],"known":[49],"or":[50],"have":[52,94],"too":[53],"few":[54],"examples":[55],"learnable.":[58],"We":[59],"present":[60],"an":[61],"unsupervised":[62],"method":[65],"aimed":[66],"at":[67],"discovering":[68],"unusual,":[69],"interestingly":[70],"linked":[71],"entities":[72],"multi-relational":[74],"datasets.":[75],"Various":[76],"notions":[77],"rarity":[79],"are":[80],"introduced":[81],"measure":[83],"the":[84],"\"interestingness\"":[85],"sets":[87],"paths":[89],"entities.":[91],"These":[92],"measurements":[93],"been":[95],"implemented":[96],"applied":[98],"real-world":[101],"bibliographic":[102],"dataset":[103],"where":[104],"they":[105],"give":[106],"very":[107],"promising":[108],"results.":[109]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":11}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}