• MapReduce

  • Referenced in 253 articles [sw00546]
  • Data analysis meets the issue of how to do calculation over extremely large datasets ... chance to utilize commodity hardware for massively parallel data analysis applications. The translation and optimization...
  • DOULION

  • Referenced in 12 articles [sw30192]
  • DOULION: counting triangles in massive graphs with a coin. Counting the number of triangles ... significant role in complex network analysis. Metrics frequently computed such as the clustering coefficient ... real-world networks and on synthetic datasets as well, where we show that our method...
  • SEEStat

  • Referenced in 1 article [sw07677]
  • operational and performance analyses of massive datasets; in particular, datasets representing operational histories of large ... through the SEELab server. In addition to analysis, the SEEStat system can automatically create sophisticated...
  • GraphCT

  • Referenced in 1 article [sw06629]
  • Massive Graph Analysis The digital world has given rise to massive quantities of data that ... relationships is not uncommon. Analyzing these large datasets, even to answer simple analytic queries, often ... present GraphCT, a scalable framework for graph analysis using parallel and multithreaded algorithms on shared...
  • MetaSpark

  • Referenced in 1 article [sw23875]
  • bioinformatics tools are challenged by massive raw metagenomic datasets. One of the bottlenecks of metagenomic ... large-scale and cloud computing suitable data analysis tools. In this paper, we proposed...
  • Superheat

  • Referenced in 3 articles [sw19761]
  • beyond. Extracting useful information from such massive datasets is an ongoing challenge as traditional data ... particularly well suited to visualizing large datasets is the heatmap. Although heatmaps are extremely popular ... expression datasets, they remain a severely underutilized visualization tool in modern data analysis. In this...
  • csaw

  • Referenced in 3 articles [sw17944]
  • binding analysis of ChIP-seq data using sliding windows. Chromatin immunoprecipitation with massively parallel sequencing ... both transcription factor and histone mark datasets, and, more generally, to any type of sequencing...
  • ADvaNCE

  • Referenced in 1 article [sw29969]
  • density-based clustering based on hashing. Analysing massive amounts of data and extracting value from ... data grow rapidly, current approaches for data analysis are no longer efficient. This is particularly ... more data points are in the dataset, the bigger the share of time needed...
  • KiWi

  • Referenced in 2 articles [sw35295]
  • clustering has gained increasing popularity in the analysis of gene expression data. Among subspace cluster ... scale well to increasingly large expression datasets. In particular, twig clusters having few genes ... subspace clustering algorithm that is scalable to massive datasets, capable of discovering twig clusters...
  • DMAP

  • Referenced in 2 articles [sw23511]
  • massive scale. Progressive increase in sequencing capacity present challenges in terms of processing analysis ... RESULTS: We have developed a differential methylation analysis package (DMAP) to generate coverage-filtered reference ... folder) from http://biochem.otago.ac.nz/research/databases-software/. Two test datasets are also available for download from...
  • TuckerMPI

  • Referenced in 2 articles [sw27856]
  • Tensor Decomposition. Our goal is compression of massive-scale grid-structured data, such ... serial implementations of the key kernels, and analysis of the storage, communication, and computational costs ... would take to even read the same dataset from a parallel filesystem. Moreover, we show...
  • GoGP

  • Referenced in 1 article [sw23912]
  • process model that could scale with massive datasets. Our approach is formulated based on alternative ... scale seamlessly not only with large-scale datasets, but also to adapt accurately with streaming ... baselines using several large-scale datasets for online regression task. The experimental results show that ... convergence behavior is guaranteed through our theoretical analysis, which is rapid and stable while achieving...
  • CGAL

  • Referenced in 362 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • Mathematica

  • Referenced in 6041 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 12477 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • R

  • Referenced in 8728 articles [sw00771]
  • R is a language and environment for statistical...
  • ScaLAPACK

  • Referenced in 407 articles [sw00830]
  • ScaLAPACK is an acronym for scalable linear algebra...
  • eigs

  • Referenced in 318 articles [sw03702]
  • eigs: Largest eigenvalues and eigenvectors of matrix The...
  • UCI-ml

  • Referenced in 3111 articles [sw04074]
  • UC Irvine Machine Learning Repository. We currently maintain...
  • SVMlight

  • Referenced in 261 articles [sw04076]
  • Description (homepage): SVMlight is an implementation of Vapnik...