Sample and Prune: An Efficient MapReduce Method for Submodular Optimization Benjamin Moseley

Source URL: grigory.us

Building Wavelet Histograms on Large Data in MapReduce Jeffrey Jestes1 1 School of Computing, University of Utah Salt Lake City, Utah, USA

Source URL: www.cs.utah.edu

Efficient Social Network Data Query Processing on MapReduce Liu Liu Jiangtao Yin

Source URL: conferences.sigcomm.org

Structure Learning of Probabilistic Logic Programs by MapReduce Fabrizio Riguzzi1 Elena Bellodi2 Riccardo Zese2 Giuseppe Cota2 Evelina Lamma2 Dipartimento di Matematica e Informatica – University of Ferrara Dipartiment

Source URL: www.ilp2015.jp

i Data-Intensive Text Processing with MapReduce Jimmy Lin and Chris Dyer University of Maryland, College Park

Source URL: lintool.github.io

From MapReduce to Spark with Apache Crunch Micah Whitacre @mkwhit

Source URL: events.linuxfoundation.org

CopyCatch: Stopping Group Attacks by Spotting Lockstep Behavior in Social Networks ∗ Alex Beutel

Source URL: www2013.wwwconference.org

• Cluster analysis
• Distributed computing architecture
• MapReduce
• Parallel computing
• Bipartite graph
• Biclustering
• Facebook
• Zarankiewicz problem
• Matching
• Belief propagation
• Recommender system
• Consensus clustering

Naiad: A Timely Dataflow System Derek G. Murray Frank McSherry Rebecca Isaacs Michael Isard Paul Barham Mart´ın Abadi Microsoft Research Silicon Valley

Source URL: research.microsoft.com

• Computing
• Graph theory
• Parallel computing
• Computer architecture
• Computer data
• Dataflow
• Degree
• MapReduce
• Incremental computing
• Graph
• BMDFM

MapReduce: Simplified Data Processing on Large Clusters Jeffrey Dean and Sanjay Ghemawat , Google, Inc.

Source URL: css.csail.mit.edu

• Parallel computing
• Distributed computing architecture
• MapReduce
• Data-intensive computing
• Parallelization contract