{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T08:06:17Z","timestamp":1648973177851},"reference-count":2,"publisher":"World Scientific Pub Co Pte Lt","issue":"supp01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Unc. Fuzz. Knowl. Based Syst."],"published-print":{"date-parts":[[2003,9]]},"abstract":"<jats:p> Many knowledge discovery tasks consist in mining databases. Nevertheless, there are cases in which a user is not allowed to access the database and can deal only with a provided fraction of knowledge. Still, the user hopes to find new interesting relationships. Surprisingly, a small number of patterns can be augmented into new knowledge so considerably that its analysis may become infeasible. In the article, we offer a method of inferring the concise lossless and sound representation of association rules in the form of maximal covering rules from a concise lossless representation of all derivable patterns. The respective algorithm is offered as well. <\/jats:p>","DOI":"10.1142\/s0218488503002247","type":"journal-article","created":{"date-parts":[[2004,1,7]],"date-time":"2004-01-07T04:17:58Z","timestamp":1073449078000},"page":"15-29","source":"Crossref","is-referenced-by-count":3,"title":["CLOSED SET BASED DISCOVERY OF MAXIMAL COVERING RULES"],"prefix":"10.1142","volume":"11","author":[{"given":"MARZENA","family":"KRYSZKIEWICZ","sequence":"first","affiliation":[{"name":"Institute of Computer Science,  Warsaw University of Technology, Nowowiejska 15\/19,  00-665 Warsaw, Poland"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf5","unstructured":"R.\u00a0Agrawal, Advances in Knowledge Discovery and Data Mining (AAAI, 1996)\u00a0pp. 307\u2013328."},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1016\/S0306-4379(99)00003-4"}],"container-title":["International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218488503002247","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T13:18:33Z","timestamp":1565183913000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218488503002247"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,9]]},"references-count":2,"journal-issue":{"issue":"supp01","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2003,9]]}},"alternative-id":["10.1142\/S0218488503002247"],"URL":"https:\/\/doi.org\/10.1142\/s0218488503002247","relation":{},"ISSN":["0218-4885","1793-6411"],"issn-type":[{"value":"0218-4885","type":"print"},{"value":"1793-6411","type":"electronic"}],"subject":[],"published":{"date-parts":[[2003,9]]}}}