Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well.
M. Koniaris, I. Anagnostopoulos, and Y. Vassiliou. Legal Knowledge and Information Systems. Jurix 2014: The 27th Annual Conference, volume 271 of Frontiers in Artificial Intelligence and Applications, (2014)
L. De Vocht, S. Softic, M. Ebner, and H. Mühlburger. Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies, page 43. ACM, (2011)
B. Keegan, D. Gergle, and N. Contractor. Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work, page 427--436. New York, NY, USA, ACM, (2012)
K. Suchecki, A. Salah, C. Gao, and A. Scharnhorst. (2012)cite arxiv:1203.0788Comment: Preprint of an article submitted for consideration in Advances in Complex Systems (2012) http://www.worldscinet.com/acs/, 19 pages, 7 figures.
B. Stvilia, M. Twidale, L. Gasser, and L. Smith. Knowledge Management: Nurturing Culture, Innovation, and Technology - Proceedings of the 2005 International Conference on Knowledge Management, (2005)
M. Anderka, B. Stein, and N. Lipka. Proceedings of the 20th international conference companion on World wide web, page 5--6. New York, NY, USA, ACM, (2011)
M. Anderka, B. Stein, and N. Lipka. Proceedings of the 20th ACM international conference on Information and knowledge management, page 2313--2316. New York, NY, USA, ACM, (2011)
A. Halfaker, A. Kittur, R. Kraut, and J. Riedl. Proceedings of the 5th International Symposium on Wikis and Open Collaboration, page 15:1--15:10. New York, NY, USA, ACM, (2009)