MapReduce Algorithms for Big Data Analysis
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[1] Jeffrey D. Ullman,et al. Optimizing joins in a map-reduce environment , 2010, EDBT '10.
[2] Abhinandan Das,et al. Google news personalization: scalable online collaborative filtering , 2007, WWW '07.
[3] Jimmy J. Lin,et al. Pairwise Document Similarity in Large Collections with MapReduce , 2008, ACL.
[4] Younghoon Kim,et al. Parallel Top-K Similarity Join Algorithms Using MapReduce , 2012, 2012 IEEE 28th International Conference on Data Engineering.
[5] Christos Faloutsos,et al. PEGASUS: mining peta-scale graphs , 2011, Knowledge and Information Systems.
[6] Dimitrios Gunopulos,et al. Automatic subspace clustering of high dimensional data for data mining applications , 1998, SIGMOD '98.
[7] Shivnath Babu,et al. Towards automatic optimization of MapReduce programs , 2010, SoCC '10.
[8] Chao Liu,et al. Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapreduce , 2010, WWW '10.
[9] Mirek Riedewald,et al. Processing theta-joins using MapReduce , 2011, SIGMOD '11.
[10] Christopher Ré,et al. Automatic Optimization for MapReduce Programs , 2011, Proc. VLDB Endow..
[11] Di Ma,et al. MR-DBSCAN: An Efficient Parallel Density-Based Clustering Algorithm Using MapReduce , 2011, 2011 IEEE 17th International Conference on Parallel and Distributed Systems.
[12] Roberto J. Bayardo,et al. PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce , 2009, Proc. VLDB Endow..
[13] Sergei Vassilvitskii,et al. Counting triangles and the curse of the last reducer , 2011, WWW.
[14] Enhong Chen,et al. Towards context-aware search by learning a very large variable length hidden markov model from search logs , 2009, WWW '09.
[15] Joydeep Ghosh,et al. Parallel Simultaneous Co-clustering and Learning with Map-Reduce , 2010, 2010 IEEE International Conference on Granular Computing.
[16] Ranieri Baraglia,et al. Document Similarity Self-Join with MapReduce , 2010, 2010 IEEE International Conference on Data Mining.
[17] Andrew McCallum,et al. Efficient clustering of high-dimensional data sets with application to reference matching , 2000, KDD '00.
[18] Feifei Li,et al. Building Wavelet Histograms on Large Data in MapReduce , 2011, Proc. VLDB Endow..
[19] Jimeng Sun,et al. DisCo: Distributed Co-clustering with Map-Reduce: A Case Study towards Petabyte-Scale End-to-End Mining , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[20] Chen Li,et al. Efficient parallel set-similarity joins using MapReduce , 2010, SIGMOD Conference.
[21] Jordan L. Boyd-Graber,et al. Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce , 2012, WWW.
[22] Beng Chin Ooi,et al. Query optimization for massively parallel data processing , 2011, SoCC.
[23] Jignesh M. Patel,et al. A comparison of join algorithms for log processing in MaPreduce , 2010, SIGMOD Conference.
[24] Feng Li,et al. An Efficient Hierarchical Clustering Method for Large Datasets with Map-Reduce , 2009, 2009 International Conference on Parallel and Distributed Computing, Applications and Technologies.
[25] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[26] Christos Faloutsos,et al. V-SMART-Join: A Scalable MapReduce Framework for All-Pair Similarity Joins of Multisets and Vectors , 2012, Proc. VLDB Endow..
[27] Christos Faloutsos,et al. Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation , 2011, PAKDD.
[28] Younghoon Kim,et al. TWITOBI: A Recommendation System for Twitter Using Probabilistic Modeling , 2011, 2011 IEEE 11th International Conference on Data Mining.
[29] Edward Y. Chang,et al. Pfp: parallel fp-growth for query recommendation , 2008, RecSys '08.
[30] Edward Y. Chang,et al. PLDA: Parallel Latent Dirichlet Allocation for Large-Scale Applications , 2009, AAIM.
[31] Min Wang,et al. Efficient Multi-way Theta-Join Processing Using MapReduce , 2012, Proc. VLDB Endow..