{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T08:13:26Z","timestamp":1760170406940,"version":"3.41.0"},"publisher-location":"Berlin, Heidelberg","reference-count":10,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540440376"},{"type":"electronic","value":"9783540456810"}],"license":[{"start":{"date-parts":[[2002,1,1]],"date-time":"2002-01-01T00:00:00Z","timestamp":1009843200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2002,1,1]],"date-time":"2002-01-01T00:00:00Z","timestamp":1009843200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2002]]},"DOI":"10.1007\/3-540-45681-3_17","type":"book-chapter","created":{"date-parts":[[2007,10,19]],"date-time":"2007-10-19T11:03:25Z","timestamp":1192791805000},"page":"200-211","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":41,"title":["Association Rules for Expressing Gradual Dependencies"],"prefix":"10.1007","author":[{"given":"Eyke","family":"H\u00fcllermeier","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2002,9,18]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"R. Agrawal, T. Imielinski, and A. Swami. Mining association rules between sets of items in large databases. In Proceedings of the ACM SIGMOD Conference on Management of Data, pages 207\u2013216, Washington, D. C., 1993.","DOI":"10.1145\/170036.170072"},{"key":"17_CR2","doi-asserted-by":"crossref","unstructured":"Y. Aumann and Y. Lindell. A statistical theory for quantitative association rules. In Proc. 5th ACM-SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999.","DOI":"10.1145\/312129.312243"},{"key":"17_CR3","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1023\/A:1011429418057","volume":"5","author":"S. D. Bay","year":"2001","unstructured":"S. D. Bay and M. J. Pazzani. Detecting group differences: Mining contrast sets. Data Mining and Knowledge Discovery, 5:213\u2013246, 2001.","journal-title":"Data Mining and Knowledge Discovery"},{"key":"17_CR4","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1023\/A:1009895914772","volume":"4","author":"R. J. Bayardo","year":"2000","unstructured":"R. J. Bayardo, R. Agrawal, and D. Gunopolos. Constraint-based rule mining in large, dense databases. Data Mining and Knowledge Discovery, 4:217\u2013240, 2000.","journal-title":"Data Mining and Knowledge Discovery"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"T. Fukuda, Y. Morimoto, S. Morishita, and T. Tokuyama. Mining optimized association rules for numeric attributes. In Proc. 15th ACM Symposium of Principles of Database Systems, 1996.","DOI":"10.1145\/237661.237708"},{"key":"17_CR6","unstructured":"E. H\u00fcllermeier. Implication-based fuzzy association rules. In L. De Raedt and A. Siebes, editors, Proceedings PKDD-01, 5th European Conference on Principles and Practice of Knowledge Discovery in Databases, number 2168 in LNAI, pages 241\u2013252, Freiburg, Germany, September 2001. Springer-Verlag."},{"key":"17_CR7","unstructured":"E. H\u00fcllermeier. Fuzzy association rules. 21. Workshop Interdisziplin\u00e4re Methoden der Informatik, Universit\u00e4t Dortmund, 2001."},{"key":"17_CR8","doi-asserted-by":"crossref","unstructured":"W. Pedrycz. Data mining and fuzzy modeling. In Proc. of the Biennial Conference of the NAFIPS, pages 263\u2013267, Berkeley, CA, 1996.","DOI":"10.1109\/NAFIPS.1996.534742"},{"key":"17_CR9","doi-asserted-by":"crossref","unstructured":"R. Skrikant and R. Agrawal. Mining quantitative association rules in large relational tables. In Proceedings of the ACM SIGMOD International Conference on Management of Data, pages 1\u201312, 1996.","DOI":"10.1145\/233269.233311"},{"key":"17_CR10","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"L. A. Zadeh","year":"1965","unstructured":"L. A. Zadeh. Fuzzy sets. Information and Control, 8:338\u2013353, 1965.","journal-title":"Information and Control"}],"container-title":["Lecture Notes in Computer Science","Principles of Data Mining and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-45681-3_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T16:35:28Z","timestamp":1749573328000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/3-540-45681-3_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002]]},"ISBN":["9783540440376","9783540456810"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/3-540-45681-3_17","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2002]]},"assertion":[{"value":"18 September 2002","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}