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Tomkins, \u201cPig latin: a not-so-foreign language for data processing,\u201d Proc. 2008 ACM SIGMOD conf. on Management of data, ACM, pp.1099-1110, 2008."},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] A. Thusoo, J.S. Sarma, N. Jain, Z. Shao, P. Chakka, N. Zhang, S. Antony, H. Liu, and R. Murthy, \u201cHive-a petabyte scale data warehouse using Hadoop,\u201d Proc. ICDE Conf., pp.996-1005, 2010.","DOI":"10.1109\/ICDE.2010.5447738"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] H.G. Lee, Y.H. Choi, H. Jung, and Y.H. Shin, \u201cSubspace Projection-Based Clustering and Temporal ACRs Mining on MapReduce for Direct Marketing Service,\u201d ETRI Journal vol.37, no.2, pp.317-327, 2015.","DOI":"10.4218\/etrij.15.2314.0068"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] K. Avrachenkov, V. Dobrynin, D. Nemirovsky, S.K. Pham, and E. Smirnova, \u201cPageRank based clustering of hypertext document collections,\u201d SIGIR, pp.873-874, 2008.","DOI":"10.1145\/1390334.1390549"},{"key":"9","unstructured":"[9] A. McKenna, M. Hanna, E. Banks, A. Sivachenko, K. Cibulskis, A. Kernytsky, K. Garimella, D. Altshuler, S. Gabriel, M. Daly, and M.A. DePristo, \u201cThe Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data,\u201d Genome Research, vol.20, no.9, pp.1297-1303, 2010."},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] K. Wiley, A. Connolly, J. Gardner, S. Krughoff, M. Balazinska, B. Howe, Y. Kwon, and Y. Bu, \u201cAstronomy in the Cloud: Using MapReduce for Image Co-Addition,\u201d Astronomy, vol.123, no.901, 2011.","DOI":"10.1086\/658877"},{"key":"11","unstructured":"[11] F.P. Sanchez, \u201cModeling social network sites with PageRank and social competences,\u201d Int. J. Complex Systems in Science, vol.1, no.1, 2011."},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] M. Onizuka, H. Kato, S. Hidaka, K. Nakano, and Z. Hu, \u201cOptimization for iterative queries on MapReduce,\u201d Proc. VLDB Endowment, vol.7, no.4, pp.241-252, 2013.","DOI":"10.14778\/2732240.2732243"},{"key":"13","unstructured":"[13] T. Warashina, K. Aoyama, H. Sawada, and T. Hattori, \u201cEfficient k-nearest neighbor graph construction using mapreduce for large-scale data sets,\u201d IEICE Trans. Inf. &amp; Syst., vol.E97-D, no.12, pp.3142-3154, 2014."},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] K. Shvachko, H. Kuang, S. Radia, and R. Chansler, \u201cThe hadoop distributed file system,\u201d IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), IEEE, pp.1-10, 2010.","DOI":"10.1109\/MSST.2010.5496972"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] Y. Bu, B. Howe, M. 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