{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T14:28:17Z","timestamp":1742999297193,"version":"3.40.3"},"publisher-location":"India","reference-count":17,"publisher":"Springer India","isbn-type":[{"type":"print","value":"9788132210375"},{"type":"electronic","value":"9788132210382"}],"license":[{"start":{"date-parts":[[2012,12,4]],"date-time":"2012-12-04T00:00:00Z","timestamp":1354579200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2012,12,4]],"date-time":"2012-12-04T00:00:00Z","timestamp":1354579200000},"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":[[2013]]},"DOI":"10.1007\/978-81-322-1038-2_17","type":"book-chapter","created":{"date-parts":[[2012,12,3]],"date-time":"2012-12-03T20:49:11Z","timestamp":1354567751000},"page":"193-203","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["An Efficient Approach on Rare Association Rule Mining"],"prefix":"10.1007","author":[{"given":"N.","family":"Hoque","sequence":"first","affiliation":[]},{"given":"B.","family":"Nath","sequence":"additional","affiliation":[]},{"given":"D. K.","family":"Bhattacharyya","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,12,4]]},"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. pages 206\u2013216. In ACM SIGMOD International Conference on Management of Data, 1993.","DOI":"10.1145\/170036.170072"},{"key":"17_CR2","doi-asserted-by":"crossref","unstructured":"S. Brin, R.Motwani, J.D.Ullman, and S.Tsur. Dynamic itemset counting and implication rules for market basket data. volume 26, pages 255\u2013268. in Proc. of the 1997 ACM SIGMOD Int\u2019n Conf. on Management of data, 1997.","DOI":"10.1145\/253262.253325"},{"key":"17_CR3","doi-asserted-by":"crossref","unstructured":"C.A.C Coello. A comprehensive survey of evolutionary-based multi-objective optimization technique. pages 269\u2013308. Knowledge and information systems, 1999.","DOI":"10.1007\/BF03325101"},{"key":"17_CR4","doi-asserted-by":"crossref","unstructured":"J. Han, J. Pei, Y. Yin, and R. Mao. Mining frequent patterns without candidate generation:a frequent-pattern tree approach. volume 8, pages 53\u201387. Data Mining and Knowledge Discovery, 2004.","DOI":"10.1023\/B:DAMI.0000005258.31418.83"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"N. Hoque, B. Nath, and D. K. Bhattacharyya. A new approach on rare association rule mining. volume 53. International Journal of Computer Applications (0975\u20138887), 2012.","DOI":"10.5120\/8398-2001"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"R. U. Kiran and P. K. Reddy. Mining rare association rules in the datasets with widely varying items\u2019 frequencies. The 15th International Conference on Database Systems for Advanced Applications Tsukuba, Japan, April 1\u20134, 2010.","DOI":"10.1007\/978-3-642-12026-8_6"},{"key":"17_CR7","doi-asserted-by":"crossref","unstructured":"Y. S. Koh and N. Rountree. Finding sporadic rules using apriori-inverse. pages 97\u2013106. Springer-Verlag Berlin Heidelberg, 2005.","DOI":"10.1007\/11430919_13"},{"key":"17_CR8","unstructured":"D. I. Lin and Z. M. Kedem. Pincer-search: an efficient algorithm for discovering the maximal frequent set. pages 105\u2013219. In Proc. Of 6th European Conference on Extending DB Tech, 1998."},{"key":"17_CR9","doi-asserted-by":"crossref","unstructured":"B. Liu, W. Hsu, and Y. Ma. Mining association rules with multiple minimum supports. pages 337\u2013341. ACM Special Interest Group on Knowledge Discovery and Data Mining Explorations, 1999.","DOI":"10.1145\/312129.312274"},{"key":"17_CR10","doi-asserted-by":"crossref","unstructured":"H. Mannila. Methods and problems in data mining. pages 41\u201355, 1997.","DOI":"10.1007\/3-540-62222-5_35"},{"key":"17_CR11","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.ins.2003.03.021","volume":"163","author":"B. Nath","year":"2004","unstructured":"B. Nath and A. Ghosh. Multi-objective rule mining using genetic algorithm. pages 123\u2013133. Information Science 163, 2004.","journal-title":"Information Science"},{"key":"17_CR12","unstructured":"R.Srikant and R. Agrawala. Mining generalized association rules. pages 407\u2013419. Proceedings of the 21st VLDB Conference Zurich, Swizerland, 1995."},{"key":"17_CR13","unstructured":"A. Savesere, E. Omiecinski, and S. Navathe. An effective algorithm for mining asociation rules in large database. pages 432\u2013443. In proceedings of International Conference on VLDB95, 1995."},{"key":"17_CR14","unstructured":"L. Szathmary and P. Valtchev. Towards rare itemset mining. Soutenue publiquement le."},{"key":"17_CR15","unstructured":"L. Szathmary, P. Valtchev, and A. Napoli. Generating rare association rules using the minimal rare itemsets family. volume 4, pages 219\u2013238. International Journal on Software Informatics, 2010."},{"key":"17_CR16","doi-asserted-by":"crossref","unstructured":"H. Yun, D. Ha, B. Hwang, and K. H. Ryu. Mining association rules on significant rare data using relative support. volume 67, pp. 181\u2013191. The, Journal of Systems and Software, 2003.","DOI":"10.1016\/S0164-1212(02)00128-0"},{"key":"17_CR17","doi-asserted-by":"crossref","unstructured":"E. Zitzler, K. Dev, and L. Thiele. Comparision of multi-objective evolutionary algorithms: empirical results. pages 125\u2013148. Evolutionary Computation 8, 2000.","DOI":"10.1162\/106365600568202"}],"container-title":["Advances in Intelligent Systems and Computing","Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012)"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-81-322-1038-2_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T17:57:31Z","timestamp":1674496651000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-81-322-1038-2_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,12,4]]},"ISBN":["9788132210375","9788132210382"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-81-322-1038-2_17","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2012,12,4]]},"assertion":[{"value":"4 December 2012","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}