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Agarwal, Alekh, Olivier Chapelle, Miroslav Dudík, and John Langford. 2011. “A Reliable Effective Terascale Linear Learning System.” CoRR abs/1110.4198.

Andrieu, Christopher, N. de Freitas, A. Doucet, and M. I. Jordan. 2003. “An Introduction to MCMC for Machine Learning.” Machine Learning 50(1-2):5-43.

Asanovic, K., R. Bodik, B. C. Catanzaro, J. J. Gebis, P. Husbands, K. Keutzer, D. A. Patterson, W. L. Plishker, J. Shalf, S. W. Williams, and K. A. Yelick. 2006. “The Landscape of Parallel Computing Research: A View from Berkeley.” University of California, Berkeley, Technical Report No. UCB/EECS-2006-183. Available at www.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-183.html. Last accessed September 11, 2013.

Boyd, Stephen, Neal Parikh, Eric Chu, Borja Peleato, and Jonathan Eckstein. 2011. “Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers.” Foundation and Trends in Machine Learning 3(1)(January):1-122.

Bryson, Steve, David Kenwright, Michael Cox, David Ellsworth, and Robert Haimes. 1999. “Visually Exploring Gigabyte Data Sets in Real Time.” Communications of the ACM 42(8)(August):82-90.

Bu, Yingyi, Bill Howe, Magdalena Balazinska, and Michael D. Ernst. 2010. “HaLoop: Efficient Iterative Data Processing on Large Clusters.” In Proceedings of the VLDB Endowment 3(1-2)(September):285-296.

Dean, Jeffrey, and Sanjay Ghemawat. 2008. “MapReduce: Simplified Data Processing on Large Clusters.” In Proceedings of the 6th Conference on Symposium on Operating Systems Design and Implementation (OSDI ‘04). USENIX Association, Berkeley, CA, USA, (6):10-10.

Ekanayake, Jaliya, Hui Li, Bingjing Zhang, Thilina Gunarathne, Seung-Hee Bae, Judy Qiu, and Geoffrey Fox. 2010. “Twister: A Runtime for Iterative MapReduce.” In Proceedings of the 19th ACM International Symposium on High-Performance Distributed Computing. June 21-25, Chicago, Illinois. Available at http://dl.acm.org/citation.cfm?id=1851593.

Gonzalez, Joseph E., Yucheng Low, Haijie Gu, Danny Bickson, and Carlos Guestrin. 2012. “PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs.” In Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation (OSDI ‘12).

Jain, Nilesh, Guangdeng Liao, and Theodore L. Willke. 2013. “GraphBuilder: Scalable Graph ETL Framework.” In First International Workshop on Graph Data Management Experiences and Systems (GRADES ‘13). ACM, New York, NY, USA, (4):6 pages. DOI=10.1145/2484425.2484429.

Konstan, Joseph A., and John Riedl. 2012. “Deconstructing Recommender Systems.” IEEE Spectrum.

Laney, Douglas. 2001. “3D Data Management: Controlling Data Volume, Velocity, and Variety.” Gartner Inc. Retrieved February 6, 2001. Last accessed September 11, 2013. Available at http://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf.

Low, Yucheng, Danny Bickson, Joseph Gonzalez, Carlos Guestrin, Aapo Kyrola, and Joseph M. Hellerstein. 2012. “Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud.” In Proceedings of the VLDB Endowment 5(8)(April):716-727.

Luhn, H. P. 1958. “A Business Intelligence System.” IBM Journal 2(4):314. doi:10.1147/rd.24.0314.

Malewicz, Grzegorz, Matthew H. Austern, Aart J. C. Bik, James C. Dehnert, Ilan Horn, Naty Leiser, and Grzegorz Czajkowski. 2010. “Pregel: A System for Large-scale Graph Processing.” In Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data (SIGMOD ‘10). ACM, New York, NY, USA, 135-146.

[NRC] National Research Council. 2013. “Frontiers in Massive Data Analysis.” Washington, DC: The National Academies Press.

Perry, Tekla S. 2013. “The Making of Facebook Graph Search.” IEEE Spectrum. Available at http://spectrum.ieee.org/telecom/internet/the-making-of-facebooks-graph-search.

Seo, Sangwon, Edward J. Yoon, Jaehong Kim, Seongwook Jin, Jin-Soo Kim, and Seungryoul Maeng. 2010. “HAMA: An Efficient Matrix Computation with the MapReduce Framework.” In Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science (CLOUDCOM ‘10). IEEE Computer Society, Washington, DC, USA, 721-726.

Srirama, Satish Narayana, Pelle Jakovits, and Eero Vainikko. 2012. “Adapting Scientific Computing Problems to Clouds Using MapReduce.” Future Generation Computer System 28(1)(January):184-192.

Venkataraman, Shivaram, Indrajit Roy, Alvin AuYoung, and Robert S. Schreiber. 2012. “Using R for Iterative and Incremental Processing.” In Proceedings of the 4th USENIX Conference on Hot Topics in Cloud Computing (HotCloud ‘12). USENIX Association, Berkeley, CA, USA, 11.

Xin, Reynold S., Joseph E. Gonzalez, Michael J. Franklin, and Ion Stoica. 2013. “GraphX: A Resilient Distributed Graph System on Spark.” In First International Workshop on Graph Data Management Experiences and Systems (GRADES ‘13). ACM, New York, NY, USA, (2):6 pages.

Zaharia, Matei, Mosharaf Chowdhury, Michael J. Franklin, Scott Shenker, and Ion Stoica. 2010. “Spark: Cluster Computing with Working Sets.” In Proceedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing (HotCloud ‘10). USENIX Association, Berkeley, CA, USA, 10.

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