• Apache Spark

  • Referenced in 22 articles [sw28418]
  • general cluster computing system for Big Data. It provides high-level APIs in Scala, Java...
  • KNIME

  • Referenced in 15 articles [sw06790]
  • entire analysis process: data access, data transformation, initial investigation, powerful predictive analytics, visualisation and reporting ... well as world-class support. Robust big data extensions are available for distributed frameworks such...
  • bmrm

  • Referenced in 15 articles [sw11016]
  • learning which make it powerful for big data analysis. The applications includes: structured prediction, linear...
  • G-Hadoop

  • Referenced in 12 articles [sw08480]
  • security framework in G-Hadoop for big data computing across distributed cloud data centres. MapReduce...
  • HBase

  • Referenced in 6 articles [sw10948]
  • random, realtime read/write access to your Big Data. This project’s goal is the hosting...
  • biglasso

  • Referenced in 3 articles [sw19509]
  • biglasso. Extending Lasso Model Fitting to Big Data. Extend lasso and elastic-net model fitting ... ultrahigh-dimensional, multi-gigabyte data sets that cannot be loaded into memory. It’s much ... ncvreg’, thus allowing for very powerful big data analysis even with an ordinary laptop...
  • ROSEFW-RF

  • Referenced in 2 articles [sw23974]
  • winner algorithm for the ECBDL’14 big data competition: An extremely imbalanced big data bioinformatics ... obtain and store large quantities of data about cells, proteins, genes, etc., that should ... under these circumstances, known as imbalanced big data classification, may not be straightforward for most ... methodology that won the ECBDL’14 big data challenge for a bioinformatics big data problem...
  • TXTDM

  • Referenced in 2 articles [sw21111]
  • better predictive modeling and analysis of big data. The third edition of this bestseller ... compilation of new and creative data mining techniques, which address the scaling ... predictive modeling and analysis of big data. SM-DM provides proper solutions to common problems ... database marketing. Effective techniques for mining big data. Boca Raton, FL: Chapman and Hall/CRC...
  • jLab

  • Referenced in 3 articles [sw25248]
  • Matlab, with ∼300 routines for big data analysis, signal processing, mapping, and oceanographic applications. Version...
  • pbdR

  • Referenced in 3 articles [sw14584]
  • Programming with Big Data in R” project (pbdR) is a set of R packages...
  • AMIDST

  • Referenced in 3 articles [sw21741]
  • distributed computing clusters managed by modern big data processing tools like Apache Spark or Apache...
  • FlinkCL

  • Referenced in 1 article [sw27868]
  • heterogeneous CPU-GPU clusters for big data. Research on in-memory big data management ... memory capacity and the explosion in big data. By offering an efficient in-memory distributed ... proven to be outstanding for processing big data. This paper proposes FlinkCL, an in-memory...
  • HRMS

  • Referenced in 1 article [sw29384]
  • useful toolkit for model averaging in big data analytics. Frequentist model averaging has been demonstrated ... deal with model uncertainty in big data analysis. In contrast with a conventional data ... number of regressors in a big data set is usually quite large, which leads ... simulation results and empirical exercise with big data analytics demonstrate the superiority of our HRMS...
  • MPT

  • Referenced in 1 article [sw17875]
  • Handling big data of online social networks on a small machine. Dealing with big data ... still be able to conduct big-data research by focusing on a specific type ... data. In particular, we present a system called MPT (microblog processing toolkit) for handling big ... this paper the architecture of MPT for data collection and stat search for returning search...
  • Vertica

  • Referenced in 1 article [sw27059]
  • very first line of code for Big Data analytics. It is designed ... data warehouses and other big data workloads where speed, scalability, simplicity, and openness are crucial ... anywhere delivers on the promise of big data analytics like no other solution...
  • CloudPhylo

  • Referenced in 2 articles [sw22014]
  • data, CloudPhylo is well suited for big data analysis, achieving high efficiency and good scalability...
  • BigDebug

  • Referenced in 1 article [sw27739]
  • BigDebug: debugging primitives for interactive big data processing in spark. Developers use cloud computing platforms ... data in parallel when developing big data analytics. Debugging the massive parallel computations that ... interactive, real-time debugging primitives for big data processing in Apache Spark, the next generation...
  • AsterixDB

  • Referenced in 1 article [sw21655]
  • full-function BDMS (Big Data Management System) with a feature set that distinguishes it from ... platforms in today’s open source Big Data ecosystem. Its features make it well-suited ... other use cases related to Big Data. AsterixDB has a flexible NoSQL style data model...
  • PEDAL

  • Referenced in 1 article [sw23564]
  • efficient concurrency bug reproduction in big data environment. Concurrency bugs usually manifest under very rare ... challenges are compounded in a big data environment. This paper explores the topic of concurrency ... Event driven Dynamic AnaLysis (PEDAL). The runtime data consisting of synchronization points is used ... prove its scalability in a big data environment, we use PEDAL to analyze several real...