{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T17:40:06Z","timestamp":1750786806390,"version":"3.41.0"},"publisher-location":"Singapore","reference-count":29,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811054266"},{"type":"electronic","value":"9789811054273"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-981-10-5427-3_64","type":"book-chapter","created":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T09:43:15Z","timestamp":1500630195000},"page":"624-636","source":"Crossref","is-referenced-by-count":0,"title":["MapReduce Based Multilevel Association Rule Mining from Concept Hierarchical Sales Data"],"prefix":"10.1007","author":[{"given":"Dinesh J.","family":"Prajapati","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sanjay","family":"Garg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,7,22]]},"reference":[{"issue":"3","key":"64_CR1","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1142\/S0218213005002223","volume":"14","author":"K Srikumar","year":"2005","unstructured":"Srikumar, K., Bhasker, B.: Metamorphosis: mining maximal frequent sets in dense domains. Int. J. Artif. Intell. Tools 14(3), 491\u2013506 (2005)","journal-title":"Int. J. Artif. Intell. Tools"},{"key":"64_CR2","doi-asserted-by":"crossref","unstructured":"Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. In: International Conference of ACM-SIGMOD on Management of Data, pp. 207\u2013216 (1993)","DOI":"10.1145\/170035.170072"},{"key":"64_CR3","volume-title":"Data Mining Concepts & Techniques","author":"J Han","year":"2004","unstructured":"Han, J., Kamber, M.: Data Mining Concepts & Techniques. Morgan Kaufmann Publishers, San Francisco (2004)"},{"key":"64_CR4","volume-title":"Advanced Data Mining Techniques","author":"DL Olsan","year":"2008","unstructured":"Olsan, D.L., Delen, D.: Advanced Data Mining Techniques. Springer, Heidelberg (2008)"},{"key":"64_CR5","first-page":"1071","volume":"89","author":"FSC Tseng","year":"2005","unstructured":"Tseng, F.S.C., Chen, P.Y.: Parallel association rule mining by data de-clustering to support grid computing. Proc. PACIS 89, 1071\u20131084 (2005)","journal-title":"Proc. PACIS"},{"key":"64_CR6","unstructured":"Woo, J., Basopia, S., Kim, S.H.: Market basket analysis algorithm with NoSQL DB HBase and Hadoop. In: 3rd International Conference Emerging Databases (EDB2011), Korea, pp. 56\u201362 (2011)"},{"key":"64_CR7","unstructured":"Woo, J., Basopia, S., Kim, S.H.: Market basket analysis algorithm with map\/reduce of cloud computing. In: Proceedings of the International Conference Parallel and Distributed Processing Techniques and Applications, USA (2011)"},{"issue":"22","key":"64_CR8","doi-asserted-by":"crossref","first-page":"4263","DOI":"10.1016\/j.ins.2010.07.020","volume":"180","author":"FSC Tseng","year":"2010","unstructured":"Tseng, F.S.C., Kuo, Y.H., Huang, Y.M.: Toward boosting distributed association rule mining by data de-clustering. Inf. Sci. 180(22), 4263\u20134289 (2010). Elsevier","journal-title":"Inf. Sci."},{"key":"64_CR9","doi-asserted-by":"crossref","unstructured":"Angryk, R.A., Petry, F.E.: Mining multi-level associations with fuzzy hierarchies. In: The 14th IEEE International Conference on Fuzzy System, pp. 785\u2013790 (2005)","DOI":"10.1109\/FUZZY.2005.1452494"},{"issue":"5","key":"64_CR10","first-page":"1","volume":"11","author":"J Han","year":"1999","unstructured":"Han, J., Fu, Y.: Mining multiple-level association rules in large databases. IEEE Trans. Knowl. Data Eng. 11(5), 1\u20138 (1999)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"2","key":"64_CR11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1365815.1365816","volume":"26","author":"F Chang","year":"2008","unstructured":"Chang, F., Dean, J., Ghemawat, S., Hsieh, W.C., Wallach, D.A., Burrows, M., Gruber, R.E.: Bigtable: a distributed storage system for structured data. ACM Trans. Comput. Syst. (TOCS) 26(2), 1\u201314 (2008)","journal-title":"ACM Trans. Comput. Syst. (TOCS)"},{"key":"64_CR12","unstructured":"Apache Hadoop. http:\/\/hadoop.apache.org\/"},{"key":"64_CR13","doi-asserted-by":"crossref","unstructured":"Yeung, J.H.C., Tsang, C.C., Tsoi, K.H., Kwan, B., Cheung, C., Chan, A.P.C., Leong, P.H.W.: Map-reduce as a programming model for custom computing machines. In: 16th IEEE Symposium on Field-Programmable Custom Computing Machines FCCM 2008 (2008)","DOI":"10.1109\/FCCM.2008.19"},{"issue":"7","key":"64_CR14","first-page":"1156","volume":"5","author":"AR Jagdale","year":"2014","unstructured":"Jagdale, A.R., Sonawane, K.V., Khan, S.S.: Data mining and data pre-processing for big data. Int. J. Sci. Eng. Res. 5(7), 1156\u20131161 (2014)","journal-title":"Int. J. Sci. Eng. Res."},{"issue":"1","key":"64_CR15","doi-asserted-by":"crossref","first-page":"76","DOI":"10.3844\/jcssp.2006.76.81","volume":"2","author":"RS Thakur","year":"2006","unstructured":"Thakur, R.S., Jain, R.C., Pardasani, K.R.: Mining level-crossing association rules from large databases. J. Comput. Sci. 2(1), 76\u201381 (2006)","journal-title":"J. Comput. Sci."},{"key":"64_CR16","doi-asserted-by":"crossref","unstructured":"Wan, Y., Liang, Y., Ding, L.: Mining multilevel association rules with dynamic concept hierarchy. In: Proceedings of the 7th International Conference on Machine Learning and Cybernetics pp. 287\u2013292. IEEE (2008)","DOI":"10.1109\/ICMLC.2008.4620419"},{"key":"64_CR17","doi-asserted-by":"crossref","unstructured":"Shaw, G., Xu, Y., Geva, S.: Eliminating redundant association rules in multilevel datasets. In: 4th International Conference on Data Mining, Las Vegas, USA, pp. 14\u201317 (2008)","DOI":"10.1109\/WIIAT.2008.39"},{"key":"64_CR18","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1007\/s11518-009-5098-x","volume":"18","author":"Y Xu","year":"2009","unstructured":"Xu, Y., Shaw, G., Li, Y.: Concise representations for association rules in multilevel datasets. J. Syst. Sci. Syst. Eng. 18, 53\u201370 (2009). Springer","journal-title":"J. Syst. Sci. Syst. Eng."},{"key":"64_CR19","doi-asserted-by":"crossref","unstructured":"Hong, T., Huang, T., Chang, C.: Mining multiple-level association rules based on pre-large concepts. In: Data Mining and Knowledge Discovery in Real Life Applications Austria, pp. 187\u2013200 (2009)","DOI":"10.5772\/6448"},{"issue":"3","key":"64_CR20","first-page":"746","volume":"2","author":"P Gautam","year":"2010","unstructured":"Gautam, P., Pardasani, K.R.: A fast algorithm for mining multilevel association rule based on Boolean matrix. Int. J. Comput. Sci. Eng. 2(3), 746\u2013752 (2010)","journal-title":"Int. J. Comput. Sci. Eng."},{"issue":"3","key":"64_CR21","first-page":"28","volume":"7","author":"VV Ramana","year":"2010","unstructured":"Ramana, V.V., Rathnamma, M.V., Reddy, A.R.M.: Methods for mining cross level association rule in taxonomy data structures. Int. J. Comput. Appl. 7(3), 28\u201335 (2010)","journal-title":"Int. J. Comput. Appl."},{"key":"64_CR22","unstructured":"Prakash, S., Vijayakumar, M., Parvathi, R.M.S.: A novel method of mining association rule with multilevel concept hierarchy. Int. J. Comput. Appl. (IJCA), 26\u201329 (2011)"},{"issue":"12","key":"64_CR23","first-page":"722","volume":"2","author":"P Gautam","year":"2011","unstructured":"Gautam, P., Pardasani, K.R.: Efficient method for multiple-level association rules in large databases. J. Emerg. Trends Comput. Inf. Sci. 2(12), 722\u2013732 (2011)","journal-title":"J. Emerg. Trends Comput. Inf. Sci."},{"issue":"4","key":"64_CR24","first-page":"235","volume":"9","author":"P Gautam","year":"2012","unstructured":"Gautam, P., Shukla, R.: An efficient algorithm for mining multilevel association rule based on Pincer search. Int. J. Comput. Sci. Issues (IJCSI) 9(4), 235\u2013241 (2012)","journal-title":"Int. J. Comput. Sci. Issues (IJCSI)"},{"issue":"1","key":"64_CR25","doi-asserted-by":"crossref","first-page":"53","DOI":"10.4103\/0256-4602.107340","volume":"30","author":"MR Karim","year":"2013","unstructured":"Karim, M.R., Ahmed, C.F., Jeong, B., Choi, H.: An efficient distributed programming model for mining useful patterns in big datasets. IETE Tech. Rev. 30(1), 53\u201363 (2013)","journal-title":"IETE Tech. Rev."},{"key":"64_CR26","doi-asserted-by":"crossref","unstructured":"Butincu, C.N., Craus, M.: An improved version of the frequent itemset mining algorithm. In: Proceedings of the 14th IEEE International Conference Networking in Education and Research, Craiova, pp. 184\u2013189 (2015)","DOI":"10.1109\/RoEduNet.2015.7311991"},{"key":"64_CR27","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.procs.2015.03.106","volume":"45","author":"AK Chandanan","year":"2015","unstructured":"Chandanan, A.K., Shukla, M.K.: Removal of duplicate rules for association rule mining from multilevel dataset. Procedia Comput. Sci. 45, 143\u2013149 (2015). Elsevier","journal-title":"Procedia Comput. Sci."},{"key":"64_CR28","doi-asserted-by":"crossref","unstructured":"Pumjun, N., Kreesuradej, W.: Maintenance of multi-level association rules discovery in dynamic database under a change of support threshold. In: 12th IEEE International Confernce on Fuzzy Systems and Knowledge Discovery (FSKD), pp. 618\u2013623 (2015)","DOI":"10.1109\/FSKD.2015.7382014"},{"key":"64_CR29","doi-asserted-by":"crossref","unstructured":"Ban, T., Eto, M., Guo, S., Inoue, D., Nakao, K., Huang, R.: A study on association rule mining of darknet big data. In: Proceedings of the IEEE International Joint Conference on Neural Network (IJCNN), pp. 1\u20137 (2015)","DOI":"10.1109\/IJCNN.2015.7280818"}],"container-title":["Communications in Computer and Information Science","Advances in Computing and Data Sciences"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-5427-3_64","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T17:05:38Z","timestamp":1750784738000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-5427-3_64"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9789811054266","9789811054273"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-5427-3_64","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]}}}