{"id":"https://openalex.org/W4411374474","doi":"https://doi.org/10.1145/3722212.3725125","title":"PY-SHARQ: A Holistic Python Library for Explaining Association Rules on Relational Data","display_name":"PY-SHARQ: A Holistic Python Library for Explaining Association Rules on Relational Data","publication_year":2025,"publication_date":"2025-06-17","ids":{"openalex":"https://openalex.org/W4411374474","doi":"https://doi.org/10.1145/3722212.3725125"},"language":"en","primary_location":{"id":"doi:10.1145/3722212.3725125","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3722212.3725125","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 International Conference on Management of Data","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3722212.3725125","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115653566","display_name":"Hadar Ben-Efraim","orcid":null},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Hadar Ben-Efraim","raw_affiliation_strings":["Bar-Ilan University, Ramat Gan, Israel"],"raw_orcid":"https://orcid.org/0009-0006-8135-6835","affiliations":[{"raw_affiliation_string":"Bar-Ilan University, Ramat Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041912741","display_name":"S.E. Davidson","orcid":"https://orcid.org/0000-0001-9435-7438"},"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"]},{"id":"https://openalex.org/I922845939","display_name":"Philadelphia University","ror":"https://ror.org/03zzmyz63","country_code":"US","type":"education","lineage":["https://openalex.org/I922845939"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Susan B. Davidson","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, USA"],"raw_orcid":"https://orcid.org/0000-0001-9435-7438","affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, USA","institution_ids":["https://openalex.org/I922845939","https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040655769","display_name":"Amit Somech","orcid":"https://orcid.org/0000-0002-2314-6542"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Amit Somech","raw_affiliation_strings":["Bar-Ilan University, Ramat Gan, Israel"],"raw_orcid":"https://orcid.org/0000-0002-2314-6542","affiliations":[{"raw_affiliation_string":"Bar-Ilan University, Ramat Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9919999837875366,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9908000230789185,"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/python","display_name":"Python (programming language)","score":0.8028151988983154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6564221382141113},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5563929677009583},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.5034598708152771},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4630814492702484},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.4598158001899719},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34675490856170654},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.31571251153945923},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23772591352462769},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.11234360933303833},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.06964793801307678}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.8028151988983154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6564221382141113},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5563929677009583},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5034598708152771},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4630814492702484},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.4598158001899719},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34675490856170654},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.31571251153945923},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23772591352462769},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.11234360933303833},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.06964793801307678}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3722212.3725125","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3722212.3725125","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3722212.3725125","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3722212.3725125","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 International Conference on Management of Data","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W78245881","https://openalex.org/W1484413656","https://openalex.org/W2047182010","https://openalex.org/W2487898712","https://openalex.org/W3116286104","https://openalex.org/W4405792676","https://openalex.org/W4407355891","https://openalex.org/W6628750762"],"related_works":["https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W1699080303","https://openalex.org/W4297799326","https://openalex.org/W3116064965","https://openalex.org/W2207495067","https://openalex.org/W1906486629","https://openalex.org/W2392697706","https://openalex.org/W366033468"],"abstract_inverted_index":{"Association":[0],"rules":[1,37],"are":[2],"an":[3,54],"important":[4],"technique":[5],"for":[6,52,77],"gaining":[7],"insights":[8],"over":[9],"large":[10],"relational":[11],"datasets":[12],"consisting":[13],"of":[14,16,30,60,82],"tuples":[15],"elements":[17,32],"(i.e.,":[18],"attribute-value":[19],"pairs).":[20],"However,":[21],"it":[22],"is":[23,64],"difficult":[24],"to":[25,35,57],"explain":[26],"the":[27,36],"relative":[28],"importance":[29,80],"data":[31],"with":[33],"respect":[34],"in":[38,66],"which":[39,72],"they":[40],"appear.":[41],"This":[42],"demo":[43],"showcases":[44],"SHARQ":[45,63],"(ShApley":[46],"Rules":[47],"Quantification),":[48],"a":[49,58,67],"Shapley-based":[50],"measure":[51],"quantifying":[53],"element's":[55],"contribution":[56],"set":[59],"association":[61,78],"rules.":[62],"implemented":[65],"convenient":[68],"Python":[69],"library,":[70],"PY-SHARQ,":[71],"supports":[73],"various":[74],"explainability":[75],"scenarios":[76],"rules-including":[79],"analysis":[81],"individual":[83],"elements,":[84],"rules,":[85],"and":[86],"attributes.":[87]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
