• GraphLab

  • Referenced in 24 articles [sw12830]
  • learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insufficiently expressive ... improves upon abstractions like MapReduce by compactly expressing asynchronous iterative algorithms with sparse computational dependencies...
  • MrsRF

  • Referenced in 4 articles [sw12018]
  • MrsRF: an efficient MapReduce algorithm for analyzing large collections of evolutionary trees. MapReduce ... introduce MrsRF (MapReduce Speeds up RF), a multi-core algorithm to generate ... distance matrix between t trees using the MapReduce paradigm...
  • CloudBurst

  • Referenced in 6 articles [sw12025]
  • CloudBurst: highly sensitive read mapping with MapReduce. Motivation: Next-generation DNA sequencing machines are generating ... demands on traditional single-processor read-mapping algorithms. CloudBurst is a new parallel read-mapping ... algorithm optimized for mapping next-generation sequence data to the human genome and other reference ... source as a model for parallelizing algorithms with MapReduce at http://cloudburst-bio.sourceforge.net...
  • Comet

  • Referenced in 3 articles [sw22899]
  • Data. COMET is a single-pass MapReduce algorithm for learning on large-scale data...
  • Spark

  • Referenced in 41 articles [sw23653]
  • Spark: cluster computing with working sets. MapReduce and its variants have been highly successful ... operations. This includes many iterative machine learning algorithms, as well as interactive data analysis tools ... retaining the scalability and fault tolerance of MapReduce. To achieve these goals, Spark introduces...
  • MR-DBSCAN

  • Referenced in 3 articles [sw30348]
  • Efficient Parallel Density-Based Clustering Algorithm Using MapReduce. Data clustering is an important data mining ... large scale in the real world. Meanwhile, MapReduce is a desirable parallel programming platform that ... density-based clustering algorithm and implement it by a 4-stages MapReduce paradigm. Furthermore...
  • mapReduce

  • Referenced in 1 article [sw24635]
  • package mapReduce: mapReduce - flexible mapReduce algorithm for parallel computation. mapReduce is an algorithm provides ... implementation (b) a syntax following the mapReduce paper and (c) flexible and parallelizable back...
  • Eoulsan

  • Referenced in 1 article [sw12022]
  • Hadoop implementation of the MapReduce algorithm dedicated to high-throughput sequencing data analysis. Eoulsan allows...
  • kdANN+

  • Referenced in 1 article [sw25633]
  • multidimensional data using an AkNN algorithm in the MapReduce framework. Our approach exploits space decomposition...
  • bigReg

  • Referenced in 0 articles [sw16070]
  • modified and carries out a MapReduce- like algorithm to fit the model. The functions bglm...
  • BlobSeer

  • Referenced in 5 articles [sw10569]
  • concurrency. Finally, we implement and evaluate these algorithms in the BlobSeer prototype, that we integrate ... storage backend in the Hadoop MapReduce framework. We perform extensive microbenchmarks as well as experiments...
  • MRESVM

  • Referenced in 1 article [sw23457]
  • paper presents MRESVM, a MapReduce-based distributed SVM ensemble algorithm for scalable image annotation which...
  • ROSEFW-RF

  • Referenced in 3 articles [sw23974]
  • problem. This algorithm, named as ROSEFW-RF, is based on several MapReduce approaches...
  • WebPIE

  • Referenced in 8 articles [sw12482]
  • Horst semantics using the MapReduce programming model. We will show that a straightforward implementation ... distributed reasoning through a set of algorithms which, combined, significantly increase performance. We have implemented...
  • PLANET

  • Referenced in 5 articles [sw15434]
  • Massively parallel learning of tree ensembles with mapreduce. Classification and regression tree learning on massive ... many state of the art tree learning algorithms require training data to reside in memory ... computations, and implements each one using the MapReduce model of distributed computation. We show...
  • Geppetto

  • Referenced in 10 articles [sw31791]
  • sharing state between computations (e.g, For MapReduce) or within a single computation ... correct execution of proprietary (i.e, Secret) algorithms. Finally, Geppetto’s use of energy-saving circuits...
  • CloudRS

  • Referenced in 0 articles [sw34375]
  • error correction algorithm of ALLPATHS-LG on the Hadoop/ MapReduce framework. It is conservative ... introduce into CloudRS to make the algorithm more efficient without sacrificing its effectiveness. Running time...
  • LaraDB

  • Referenced in 4 articles [sw39113]
  • programming model that affords unified reasoning and algorithm design. At the logical level we propose ... middleware algebra: more explicit than MapReduce but more general than...
  • BioPig

  • Referenced in 0 articles [sw34378]
  • built BioPig on the Apache’s Hadoop MapReduce system and the Pig data flow language ... Compared with traditional serial and MPI-based algorithms, BioPig has three major advantages: first, BioPig...
  • iMapReduce

  • Referenced in 1 article [sw27957]
  • reducing the overhead of creating new MapReduce jobs repeatedly, (2) eliminating the shuffling of static ... times speedup over Hadoop for implementing iterative algorithms...