{"id":"https://openalex.org/W2142014442","doi":"https://doi.org/10.1109/icdm.2003.1250914","title":"An algebra for inductive query evaluation","display_name":"An algebra for inductive query evaluation","publication_year":2004,"publication_date":"2004-04-23","ids":{"openalex":"https://openalex.org/W2142014442","doi":"https://doi.org/10.1109/icdm.2003.1250914","mag":"2142014442"},"language":"en","primary_location":{"id":"doi:10.1109/icdm.2003.1250914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm.2003.1250914","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":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/handle/123456789/134437","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079569751","display_name":"S.D. Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"S.D. Lee","raw_affiliation_strings":["Institut f\u00fcr Informatik, Albert-Ludwigs-Universit\u00e4t Freiburg, Freiburg im Breisgau, Germany","Inst. fur Inf., Freiburg Univ., Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Informatik, Albert-Ludwigs-Universit\u00e4t Freiburg, Freiburg im Breisgau, Germany","institution_ids":["https://openalex.org/I161046081"]},{"raw_affiliation_string":"Inst. fur Inf., Freiburg Univ., Germany","institution_ids":["https://openalex.org/I161046081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078136609","display_name":"Luc De Raedt","orcid":"https://orcid.org/0000-0002-6860-6303"},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"L. De Raedt","raw_affiliation_strings":["Institut f\u00fcr Informatik, Albert-Ludwigs-Universit\u00e4t Freiburg, Freiburg im Breisgau, Germany","Inst. fur Inf., Freiburg Univ., Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Informatik, Albert-Ludwigs-Universit\u00e4t Freiburg, Freiburg im Breisgau, Germany","institution_ids":["https://openalex.org/I161046081"]},{"raw_affiliation_string":"Inst. fur Inf., Freiburg Univ., Germany","institution_ids":["https://openalex.org/I161046081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079569751"],"corresponding_institution_ids":["https://openalex.org/I161046081"],"apc_list":null,"apc_paid":null,"fwci":7.5116,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.97080797,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"147","last_page":"154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9995999932289124,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9977999925613403,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.6950674653053284},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5255476236343384},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5173130035400391},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.5126911401748657},{"id":"https://openalex.org/keywords/boolean-conjunctive-query","display_name":"Boolean conjunctive query","score":0.5052085518836975},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.49536287784576416},{"id":"https://openalex.org/keywords/algebraic-number","display_name":"Algebraic number","score":0.47893983125686646},{"id":"https://openalex.org/keywords/boolean-algebra","display_name":"Boolean algebra","score":0.47810596227645874},{"id":"https://openalex.org/keywords/conjunctive-query","display_name":"Conjunctive query","score":0.4571194648742676},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.44450801610946655},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4101860523223877},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2713152766227722},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.2464536726474762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2405841052532196},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.2263852059841156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19560939073562622},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.15362292528152466},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.1253698766231537},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0910537838935852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6950674653053284},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5255476236343384},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5173130035400391},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.5126911401748657},{"id":"https://openalex.org/C24755975","wikidata":"https://www.wikidata.org/wiki/Q4943354","display_name":"Boolean conjunctive query","level":5,"score":0.5052085518836975},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.49536287784576416},{"id":"https://openalex.org/C9376300","wikidata":"https://www.wikidata.org/wiki/Q168817","display_name":"Algebraic number","level":2,"score":0.47893983125686646},{"id":"https://openalex.org/C39685927","wikidata":"https://www.wikidata.org/wiki/Q173183","display_name":"Boolean algebra","level":2,"score":0.47810596227645874},{"id":"https://openalex.org/C65647387","wikidata":"https://www.wikidata.org/wiki/Q1781706","display_name":"Conjunctive query","level":3,"score":0.4571194648742676},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.44450801610946655},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4101860523223877},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2713152766227722},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.2464536726474762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2405841052532196},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.2263852059841156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19560939073562622},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.15362292528152466},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.1253698766231537},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0910537838935852},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdm.2003.1250914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm.2003.1250914","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:oai:lirias2repo.kuleuven.be:123456789/134437","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/134437","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE International Conference on Data Mining, Melbourne, Florida, USA, 19-22 December 2003","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/134437","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/134437","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE International Conference on Data Mining, Melbourne, Florida, USA, 19-22 December 2003","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W18984239","https://openalex.org/W64137754","https://openalex.org/W168451370","https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1541487494","https://openalex.org/W1576453982","https://openalex.org/W1965731052","https://openalex.org/W1985104873","https://openalex.org/W2009207944","https://openalex.org/W2029288280","https://openalex.org/W2052360255","https://openalex.org/W2058581741","https://openalex.org/W2059513841","https://openalex.org/W2118892942","https://openalex.org/W2125227861","https://openalex.org/W2139049212","https://openalex.org/W2533248932","https://openalex.org/W4239280889","https://openalex.org/W6600781627","https://openalex.org/W6606840085","https://openalex.org/W6628750762","https://openalex.org/W6634510049","https://openalex.org/W6663329720"],"related_works":["https://openalex.org/W1483388050","https://openalex.org/W2137382312","https://openalex.org/W2004485491","https://openalex.org/W2236547548","https://openalex.org/W2258149899","https://openalex.org/W4387929624","https://openalex.org/W1998152264","https://openalex.org/W2222550902","https://openalex.org/W3105622409","https://openalex.org/W2574914925"],"abstract_inverted_index":{"Inductive":[0],"queries":[1,3,16,40],"are":[2,18],"that":[4,17],"generate":[5],"pattern":[6,84],"sets.":[7,76],"We":[8],"study":[9,31],"properties":[10],"of":[11,38,61,68,86],"Boolean":[12,19],"inductive":[13],"queries,":[14,63],"i.e.":[15,64],"expressions":[20],"over":[21],"monotonic":[22],"and":[23,30,41,50,88],"antimonotonic":[24],"constraints.":[25],"More":[26],"specifically,":[27],"we":[28],"introduce":[29],"algebraic":[32],"operations":[33],"on":[34],"the":[35,59,62,65,74,83],"answer":[36,75],"sets":[37],"such":[39],"show":[42],"how":[43],"these":[44],"can":[45],"be":[46],"used":[47],"for":[48,82],"constructing":[49],"optimizing":[51],"query":[52],"plans.":[53],"Special":[54],"attention":[55],"is":[56],"devoted":[57],"to":[58,72],"dimension":[60],"minimum":[66],"number":[67],"version":[69],"spaces":[70],"needed":[71],"represent":[73],"The":[77],"framework":[78],"has":[79],"been":[80],"implemented":[81],"domain":[85],"strings":[87],"experimentally":[89],"validated.":[90]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}