{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T03:16:04Z","timestamp":1752549364828},"reference-count":2,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[1998,6]]},"abstract":"<jats:p> We propose the share-confidence framework for knowledge discovery from databases which addresses the problem of mining characterized association rules from market basket data (i.e., itemsets). Our goal is to not only discover the buying patterns of customers, but also to discover customer profiles by partitioning customers into distinct classes. We present a new algorithm for classifying itemsets based upon characteristic attributes extracted from census or lifestyle data. Our algorithm combines the A priori algorithm for discovering association rules between items in large databases, and the A O G algorithm for attribute-oriented generalization in large databases. We show how characterized itemsets can be generalized according to concept hierarchies associated with the characteristic attributes. Finally, we present experimental results that demonstrate the utility of the share-confidence framework. <\/jats:p>","DOI":"10.1142\/s0218213098000111","type":"journal-article","created":{"date-parts":[[2003,5,9]],"date-time":"2003-05-09T07:55:54Z","timestamp":1052466954000},"page":"189-220","source":"Crossref","is-referenced-by-count":17,"title":["MINING ASSOCIATION RULES FROM MARKET BASKET DATA USING SHARE MEASURES AND CHARACTERIZED ITEMSETS"],"prefix":"10.1142","volume":"07","author":[{"given":"ROBERT J.","family":"HILDERMAN","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"HOWARD J.","family":"HAMILTON","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"COLIN L.","family":"CARTER","sequence":"additional","affiliation":[{"name":"Shaw Pipeline, Calgary, Alberta, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"NICK","family":"CERCONE","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Faculty of Mathematics, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"p_1","doi-asserted-by":"publisher","DOI":"10.1109\/69.250074"},{"key":"p_4","doi-asserted-by":"publisher","DOI":"10.1109\/69.553164"}],"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213098000111","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T23:15:02Z","timestamp":1565133302000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213098000111"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1998,6]]},"references-count":2,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1998,6]]}},"alternative-id":["10.1142\/S0218213098000111"],"URL":"https:\/\/doi.org\/10.1142\/s0218213098000111","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[1998,6]]}}}