{"id":{"repo_id":"maynooth","oai_identifier":"oai:mural.maynoothuniversity.ie:6325"},"canonical_url":"https://search.dev.ndltd.org/etd/maynooth/oai:mural.maynoothuniversity.ie:6325","repository":{"repo_id":"maynooth","name":"National University of Ireland - Maynooth","base_url":"http://mural.maynoothuniversity.ie/cgi/oai2"},"display":{"title":"A Fast Minimal Infrequent Itemset Mining Algorithm","abstract":"A novel fast algorithm for finding quasi identifiers in large datasets is presented. Performance measurements on a broad range of datasets demonstrate substantial reductions in run-time relative to the state of the art and the scalability of the algorithm to realistically-sized datasets up to several million records.","abstract_html":"A novel fast algorithm for finding quasi identifiers in large datasets is presented. Performance measurements on a broad range of datasets demonstrate substantial reductions in run-time relative to the state of the art and the scalability of the algorithm to realistically-sized datasets up to several million records.","abstract_has_math":false,"creators":["Demchuk, Kostiantyn"],"institution":"National University of Ireland Maynooth","degree_name":null,"degree_level":"masters","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-05","date_published":"2014-05","updated_at":"2026-07-24T03:02:52Z","subjects":["Hamilton Institute"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.sponsor","label":"Sponsor","values":["Science Foundation Ireland under Grant No. 11/PI/1177"]},{"key":"dc:creator","label":"Author","values":["Demchuk, Kostiantyn"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2014-05"]},{"key":"dc:date.issued","label":"Date","values":["2014-05"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Hamilton Institute"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["National University of Ireland Maynooth"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://mural.maynoothuniversity.ie/id/eprint/6325/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["masters"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Hamilton Institute"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://mural.maynoothuniversity.ie/id/eprint/6325/1/Research%20Master%20Thesis%20by%20Kostiantyn%20Demchuk%20May%202014.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["A novel fast algorithm for finding quasi identifiers in large datasets is presented. Performance measurements on a broad range of datasets demonstrate substantial reductions in run-time relative to the state of the art and the scalability of the algorithm to realistically-sized datasets up to several million records."]},{"key":"dc:format","label":"Dc Format","values":["text"]},{"key":"dc:title","label":"Title","values":["A Fast Minimal Infrequent Itemset Mining Algorithm"]}]}],"canonical_facts":{"dc:contributor.sponsor":["Science Foundation Ireland under Grant No. 11/PI/1177"],"dc:creator":["Demchuk, Kostiantyn"],"dc:date":["2014-05"],"dc:date.issued":["2014-05"],"dc:description.abstract":["A novel fast algorithm for finding quasi identifiers in large datasets is presented. Performance measurements on a broad range of datasets demonstrate substantial reductions in run-time relative to the state of the art and the scalability of the algorithm to realistically-sized datasets up to several million records."],"dc:format":["text"],"dc:identifier.uri":["https://mural.maynoothuniversity.ie/id/eprint/6325/1/Research%20Master%20Thesis%20by%20Kostiantyn%20Demchuk%20May%202014.pdf"],"dc:language":["en"],"dc:publisher.department":["Hamilton Institute"],"dc:publisher.institution":["National University of Ireland Maynooth"],"dc:relation.isreferencedby":["https://mural.maynoothuniversity.ie/id/eprint/6325/"],"dc:subject":["Hamilton Institute"],"dc:title":["A Fast Minimal Infrequent Itemset Mining Algorithm"],"dc:type":["Thesis"],"dc:type.qualificationlevel":["masters"]},"updated_at":"2026-07-24T03:02:52Z"}