{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T15:30:10Z","timestamp":1725550210863},"publisher-location":"Berlin, Heidelberg","reference-count":19,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642120893"},{"type":"electronic","value":"9783642120909"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-12090-9_21","type":"book-chapter","created":{"date-parts":[[2010,3,15]],"date-time":"2010-03-15T14:44:21Z","timestamp":1268664261000},"page":"241-252","source":"Crossref","is-referenced-by-count":1,"title":["Using Rule Order Difference Criterion to Decide Whether to Update Class Association Rules"],"prefix":"10.1007","author":[{"given":"Kritsadakorn","family":"Kongubol","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thanawin","family":"Rakthanmanon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kitsana","family":"Waiyamai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"21_CR1","unstructured":"Chang, H.L., Cheng, R.L., Ming, S.C.: Sliding-Window Filtering: An Efficient Algorithm for Incremental Mining. In: Proc. of the ACM 10th International Conference on Information and Knowledge Management (CIKM 2001), November 5-10, 2001, pp. 263\u2013270 (2001)"},{"key":"21_CR2","unstructured":"David, W.C., Han, J., Ng, V., Wong, C.Y.: Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Techniques. In: Proc.12th IEEE International Conference on Data Engineering (ICDE 1996), New Orleans, Louisiana, U.S.A (March 1996)"},{"key":"21_CR3","unstructured":"David, W.C., Sau, D.L., Benjamin, K.: A general incremental technique for maintaining discovered association rules. In: Proceedings of the 5 th Intl. Conf. on Database Systems for Advanced Applications (DASFAA 1997), Melbourne, Australia (April 1997)"},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Geng, L., Hamilton, H.J.: Interestingness Measures for Data Mining: A Survey. ACM Computing Surveys\u00a038(3), Article 9 (September 2006)","DOI":"10.1145\/1132960.1132963"},{"issue":"2","key":"21_CR5","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1016\/j.ejor.2006.10.059","volume":"184","author":"P. Lenca","year":"2008","unstructured":"Lenca, P., Meyer, P., Vaillant, B., Lallich, S.: On selecting interestingness measures for association rules: user oriented description and multiple criteria decision aid. European Journal of Operational Research\u00a0184(2), 610\u2013626 (2008)","journal-title":"European Journal of Operational Research"},{"key":"21_CR6","first-page":"80","volume-title":"Proceedings of the International Conference on Knowledge Discovery and Data Mining","author":"B. Liu","year":"1998","unstructured":"Liu, B., Hsu, W., Ma, Y.: Integrating classification and association rule mining. In: Proceedings of the International Conference on Knowledge Discovery and Data Mining, pp. 80\u201386. AAAI Press, New York (1998)"},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Liu, B., Ma, Y., Wong, C.K.: Improving an association rule based classifier. In: Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery, Lyon, France, pp. 504\u2013509 (2000)","DOI":"10.1007\/3-540-45372-5_58"},{"key":"21_CR8","unstructured":"Li, W., Han, J., Pei, J.: CMAR: Accurate and efficient classification based on multiple-class association rule. In: Proceedings of the International Conference on Data Mining (ICDM 2001), San Jose, CA, pp. 369\u2013376 (2001)"},{"key":"21_CR9","unstructured":"LUCS-KDD DN Example Notes, \n                    \n                      http:\/\/www.csc.liv.ac.uk\/frans\/KDD\/Software\/LUCS-KDD-DN\/exmpleDNnotes.html"},{"key":"21_CR10","unstructured":"LUCS-KDD implementation of CBA, \n                    \n                      http:\/\/www.csc.liv.ac.uk\/frans\/KDD\/Software\/CBA\/cba.html"},{"key":"21_CR11","series-title":"Department of Information and Computer Science","volume-title":"UCI repository of machine learning databases.","author":"C. Merz","year":"1996","unstructured":"Merz, C., Murphy, P.: UCI repository of machine learning databases. Department of Information and Computer Science. University of California, Irvine (1996)"},{"key":"21_CR12","unstructured":"Necip, F.A., Abdullah, U.T., Erol, A.: An Efficient Algorithm to Update Large Itemsets with Early Pruning. In: ACM SIGKDD Intl. Conf. on Knowledge Discovery in Data and Data Mining (SIGKDD 1999), San Diego, California (August 1999)"},{"key":"21_CR13","unstructured":"Shiby, T., Sreenath, B., Khaled, A., Sanjay, R.: An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases. In: Proceedings of the 3rd International conference on Knowledge Discovery and Data Mining (KDD 1997), New Port Beach, California (August 1997)"},{"key":"21_CR14","unstructured":"Susan, P.I., Abdullah, U.T., Eric, P.: An Efficient Method For Finding Emerging Large Itemsets. In: The Third Workshop on Mining Temporal and Sequential Data, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (August 2004)"},{"key":"21_CR15","first-page":"37","volume-title":"The Knowledge Engineering Review","author":"F. Thabtah","year":"2007","unstructured":"Thabtah, F.: A review of associative classification mining. In: The Knowledge Engineering Review, vol.\u00a022(1), pp. 37\u201365. Cambridge University Press, Cambridge (2007)"},{"key":"21_CR16","doi-asserted-by":"crossref","unstructured":"Thabtah, F.: Challenges and Interesting Research Directions in Associative Classification. In: Sixth IEEE International Conference on Data Mining Workshops, ICDM Workshops 2006, December 2006, pp. 785\u2013792 (2006)","DOI":"10.1109\/ICDMW.2006.39"},{"key":"21_CR17","doi-asserted-by":"crossref","unstructured":"Thabtah, F., Cowling, P., Peng, Y.: MMAC: A new multi-class, multi-label associative classification approach. In: Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), Brighton, UK, pp. 217\u2013224 (2004)","DOI":"10.1109\/ICDM.2004.10117"},{"key":"21_CR18","doi-asserted-by":"crossref","unstructured":"Thabtah, F., Cowling, P., Peng, Y.: MCAR: Multi-class classification based on association rule approach. In: Proceeding of the 3rd IEEE International Conference on Computer Systems and Applications, Cairo, Egypt, pp. 1\u20137 (2005)","DOI":"10.1109\/AICCSA.2005.1387030"},{"key":"21_CR19","first-page":"369","volume-title":"Proceedings of the SIAM International Conference on Data Mining","author":"X. Yin","year":"2003","unstructured":"Yin, X., Han, J.: CPAR: Classification based on predictive association rule. In: Proceedings of the SIAM International Conference on Data Mining, pp. 369\u2013376. SIAM Press, San Francisco (2003)"}],"container-title":["Studies in Computational Intelligence","Advances in Intelligent Information and Database Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-12090-9_21.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,24]],"date-time":"2020-11-24T02:47:40Z","timestamp":1606186060000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-12090-9_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642120893","9783642120909"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-12090-9_21","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2010]]}}}