{"id":"https://openalex.org/W2131353734","doi":"https://doi.org/10.1145/1014052.1014137","title":"Cluster-based concept invention for statistical relational learning","display_name":"Cluster-based concept invention for statistical relational learning","publication_year":2004,"publication_date":"2004-08-22","ids":{"openalex":"https://openalex.org/W2131353734","doi":"https://doi.org/10.1145/1014052.1014137","mag":"2131353734"},"language":"en","primary_location":{"id":"doi:10.1145/1014052.1014137","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1014052.1014137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.upenn.edu/bitstreams/620b06e3-f475-4735-9346-9e0bff2e7927/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027411355","display_name":"Alexandrin Popescul","orcid":null},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexandrin Popescul","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044944954","display_name":"Lyle Ungar","orcid":"https://orcid.org/0000-0003-2047-1443"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lyle H. Ungar","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027411355"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":3.9997,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.93994151,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"665","last_page":"670"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9976999759674072,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.996999979019165,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9934999942779541,"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":0.763667106628418},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.7141055464744568},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.665463387966156},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6117750406265259},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49671417474746704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46746826171875},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43197306990623474},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43189793825149536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3824916481971741}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.763667106628418},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.7141055464744568},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.665463387966156},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6117750406265259},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49671417474746704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46746826171875},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43197306990623474},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43189793825149536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3824916481971741},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1145/1014052.1014137","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1014052.1014137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.upenn.edu:20.500.14332/6158","is_oa":false,"landing_page_url":"https://repository.upenn.edu/handle/20.500.14332/6158","pdf_url":null,"source":{"id":"https://openalex.org/S4306402083","display_name":"ScholarlyCommons (University of Pennsylvania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79576946","host_organization_name":"University of Pennsylvania","host_organization_lineage":["https://openalex.org/I79576946"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"published","raw_type":"Presentation"},{"id":"pmh:oai:repository.upenn.edu:cis_papers-1137","is_oa":true,"landing_page_url":"https://repository.upenn.edu/cis_papers/131","pdf_url":"https://repository.upenn.edu/bitstreams/620b06e3-f475-4735-9346-9e0bff2e7927/download","source":{"id":"https://openalex.org/S4306402083","display_name":"ScholarlyCommons (University of Pennsylvania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79576946","host_organization_name":"University of Pennsylvania","host_organization_lineage":["https://openalex.org/I79576946"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Departmental Papers (CIS)","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.4.9129","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.9129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.upenn.edu/~popescul/Publications/popescul04clusterbased.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.455.4102","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.455.4102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.87.2566","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.2566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.umd.edu/projects/srl2004/Papers/ungar.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:repository.upenn.edu:cis_papers-1137","is_oa":true,"landing_page_url":"https://repository.upenn.edu/cis_papers/131","pdf_url":"https://repository.upenn.edu/bitstreams/620b06e3-f475-4735-9346-9e0bff2e7927/download","source":{"id":"https://openalex.org/S4306402083","display_name":"ScholarlyCommons (University of Pennsylvania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79576946","host_organization_name":"University of Pennsylvania","host_organization_lineage":["https://openalex.org/I79576946"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Departmental Papers (CIS)","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2131353734.pdf","grobid_xml":"https://content.openalex.org/works/W2131353734.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W122594028","https://openalex.org/W1493454437","https://openalex.org/W1514468887","https://openalex.org/W1516980465","https://openalex.org/W1541387787","https://openalex.org/W1545331097","https://openalex.org/W1558832481","https://openalex.org/W1592821781","https://openalex.org/W1929850838","https://openalex.org/W1956559956","https://openalex.org/W1975714036","https://openalex.org/W1987902506","https://openalex.org/W2045373010","https://openalex.org/W2055586952","https://openalex.org/W2078029048","https://openalex.org/W2097915776","https://openalex.org/W2118668678","https://openalex.org/W2126185296","https://openalex.org/W2151684796","https://openalex.org/W2155800811","https://openalex.org/W2168175751","https://openalex.org/W2325227998","https://openalex.org/W2999729612","https://openalex.org/W6640213411","https://openalex.org/W6640862754"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"We":[0,107],"use":[1],"clustering":[2],"to":[3,39],"derive":[4],"new":[5,34,43],"relations":[6],"which":[7,37,91],"augment":[8],"database":[9],"schema":[10],"used":[11],"in":[12,18,47,97],"automatic":[13],"generation":[14],"of":[15,29,42,77,83,87],"predictive":[16,93],"features":[17],"statistical":[19,103],"relational":[20],"learning.":[21],"Entities":[22],"derived":[23],"from":[24],"clusters":[25],"increase":[26],"the":[27,40,84,98],"expressivity":[28],"feature":[30,80,104],"spaces":[31],"by":[32,102],"creating":[33],"first-class":[35],"concepts":[36,74],"contribute":[38],"creation":[41],"features.":[44],"For":[45],"example,":[46],"CiteSeer,":[48],"papers":[49],"can":[50,62],"be":[51,63],"clustered":[52,64],"based":[53,65],"on":[54,66,113],"words":[55],"or":[56],"citations":[57],"giving":[58,70],"\"topics\",":[59],"and":[60,118],"authors":[61],"documents":[67],"they":[68],"co-author":[69],"\"communities\".":[71],"Such":[72],"cluster-derived":[73],"become":[75],"part":[76],"more":[78],"complex":[79],"expressions.":[81],"Out":[82],"large":[85],"number":[86],"generated":[88],"features,":[89],"those":[90],"improve":[92],"accuracy":[94,112],"are":[95],"kept":[96],"model,":[99],"as":[100],"decided":[101],"selection":[105],"criteria.":[106],"present":[108],"results":[109],"demonstrating":[110],"improved":[111],"two":[114],"tasks,":[115],"venue":[116],"prediction":[117],"link":[119],"prediction,":[120],"using":[121],"CiteSeer":[122],"data.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}