{"id":"https://openalex.org/W64841805","doi":null,"title":"Interesting instance discovery in multi-relational data","display_name":"Interesting instance discovery in multi-relational data","publication_year":2004,"publication_date":"2004-07-25","ids":{"openalex":"https://openalex.org/W64841805","mag":"64841805"},"language":"en","primary_location":{"id":"mag:64841805","doi":null,"is_oa":false,"landing_page_url":"https://www.aaai.org/Papers/AAAI/2004/AAAI04-144.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306420577","display_name":"National Conference on Artificial Intelligence","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"National Conference on Artificial Intelligence","raw_type":null},"volume":null,"type":"conference-paper","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/A5087480257","display_name":"Shou-De Lin","orcid":"https://orcid.org/0000-0001-9970-1250","observed_orcids":["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":true,"raw_author_name":"Shou-De Lin","raw_affiliation_strings":["Information Sciences Institute, University of Southern California, Marina del Rey, CA#TAB#"],"raw_orcid":"https://orcid.org/0000-0001-9970-1250","affiliations":[{"raw_affiliation_string":"Information Sciences Institute, University of Southern California, Marina del Rey, CA#TAB#","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087480257"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.01077141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"991","last_page":"992"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9814000129699707,"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":0.9814000129699707,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.004100000020116568,"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/T14435","display_name":"Information Retrieval and Data Mining","score":0.00139999995008111,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-relational-data","display_name":"multi-relational data","score":0.9259999990463257},{"id":"https://openalex.org/keywords/relational-graph","display_name":"relational graph","score":0.6899999976158142},{"id":"https://openalex.org/keywords/semantic-networks","display_name":"semantic networks","score":0.7839999794960022},{"id":"https://openalex.org/keywords/machine-discovery","display_name":"machine discovery","score":0.628000020980835},{"id":"https://openalex.org/keywords/scientific-discovery","display_name":"scientific discovery","score":0.7059999704360962},{"id":"https://openalex.org/keywords/knowledge-discovery","display_name":"knowledge discovery","score":0.6850000023841858},{"id":"https://openalex.org/keywords/data-mining","display_name":"data mining","score":0.8230000138282776},{"id":"https://openalex.org/keywords/big-data-analytics","display_name":"big data analytics","score":0.5669999718666077}],"concepts":[{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.793184757232666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7897425889968872},{"id":"https://openalex.org/C2984917352","wikidata":"https://www.wikidata.org/wiki/Q12772819","display_name":"Scientific discovery","level":2,"score":0.7107359170913696},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5124552845954895},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.48301610350608826},{"id":"https://openalex.org/C105445830","wikidata":"https://www.wikidata.org/wiki/Q6322855","display_name":"K-optimal pattern discovery","level":3,"score":0.4345913529396057},{"id":"https://openalex.org/C2777516300","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data discovery","level":3,"score":0.4238702058792114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42212122678756714},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41322508454322815},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17006683349609375},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.0},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:64841805","doi":null,"is_oa":false,"landing_page_url":"https://www.aaai.org/Papers/AAAI/2004/AAAI04-144.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306420577","display_name":"National Conference on Artificial Intelligence","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"National Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2131417257","https://openalex.org/W2145551210","https://openalex.org/W2913461794"],"related_works":["https://openalex.org/W128978003","https://openalex.org/W2073142975","https://openalex.org/W1974067702","https://openalex.org/W7099724515","https://openalex.org/W7001015684","https://openalex.org/W7100764173","https://openalex.org/W1583611193","https://openalex.org/W1009194526","https://openalex.org/W7096735378","https://openalex.org/W118176730"],"abstract_inverted_index":{"The":[0],"general":[1,116],"area":[2],"of":[3,26,109,128,163],"machine":[4,40],"discovery":[5,16,41,49,52,78,101,108],"focuses":[6,177],"on":[7,178],"methods":[8],"to":[9,12,115,173,186],"use":[10],"computers":[11],"perform":[13],"or":[14,118,139],"assist":[15],"tasks.":[17],"Herbert":[18],"Simon":[19],"described":[20,134],"it":[21,75,104,175],"as":[22,113,135],"\u201cgradual":[23],"problemsolving":[24],"processes":[25],"searching":[27],"large":[28,183],"problem":[29],"spaces":[30],"for":[31,95,160],"incompletely":[32],"defined":[33],"goal":[34],"objects\u201d":[35],"[Simon,":[36],"1995,":[37],"p.171].":[38],"Today":[39],"research":[42,64],"falls":[43],"into":[44],"two":[45,71],"major":[46],"categories,":[47],"scientific":[48,100],"and":[50,53,102,150,184],"knowledge":[51],"data":[54,126,130,179],"mining":[55],"(KDD).":[56],"In":[57,143],"this":[58],"paper":[59],"we":[60,73],"propose":[61],"a":[62,136,140,145,165,168],"new":[63],"direction":[65],"that":[66,131,180],"lies":[67],"somewhere":[68],"in-between":[69],"these":[70],"trends:":[72],"call":[74],"interesting":[76,84,111],"instance":[77],"(IID)":[79],"which":[80],"aims":[81,105],"at":[82,106],"discovering":[83],"instances":[85,112],"in":[86],"large,":[87],"multi-relational":[88,125],"datasets.":[89],"There":[90],"are":[91,181],"three":[92],"important":[93],"characteristics":[94],"IID":[96],"research:":[97],"(1)":[98],"Unlike":[99],"KDD,":[103,174],"the":[107],"particular":[110],"opposed":[114],"laws":[117],"patterns.":[119],"(2)":[120],"It":[121],"is":[122,132],"dealing":[123],"with":[124],"instead":[127],"numeric":[129],"best":[133],"relational":[137],"graph":[138],"semantic":[141],"net.":[142],"such":[144,164],"network":[146,166],"nodes":[147],"represent":[148,152],"objects":[149],"links":[151],"relationships":[153],"between":[154],"them":[155],"\u2013":[156],"see":[157],"Figure":[158],"1":[159],"an":[161],"example":[162],"from":[167],"bibliography":[169],"domain.":[170],"(3)":[171],"Similar":[172],"also":[176],"too":[182],"complex":[185],"be":[187],"analyzed":[188],"manually":[189],"by":[190],"humans.":[191]},"counts_by_year":[{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}
