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Encyclopedia of Big Data Technologies pp 1–5Cite as

Apache Mahout

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Apache Mahout (http://mahout.apache.org) is a distributed linear algebra framework that includes a mathematically expressive domain-specific language (DSL). It is designed to aid mathematicians, statisticians, and data scientists to quickly implement numerical algorithms while focusing on the mathematical concepts in their work, rather than on code syntax. Mahout uses an extensible plug-in interface to systems such as Apache Spark and Apache Flink.

Historical Background

Mahout was founded as a sub-project of Apache Lucene in late 2007 and was promoted to a top-level Apache Software Foundation (ASF) (ASF 2017) project in 2010 (Khudairi 2010). The goal of the project from the outset has been to provide a machine learning framework that was both accessible to practitioners and able to perform sophisticated numerical computation on large data sets.

Mahout has undergone two major stages of architecture design. The first versions relied on the Apache Hadoop MapReduce framework, a...

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Authors and Affiliations

  1. Apache Software Foundation, Seattle, WA, USA

    Andrew Musselman

Authors
  1. Andrew Musselman
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Correspondence to Andrew Musselman .

Editor information

Editors and Affiliations

  1. School of Comp. Sci. and Engineering, University of New South Wales School of Comp. Sci. and Engineering, Eveleigh, New South Wales, Australia

    Sherif Sakr

  2. Sch of Info Techno, Building J12, University of Sydney Sch of Info Techno, Building J12, Sydney, Australia

    Albert Zomaya

Section Editor information

  1. DIMES, University of Calabria, Via P. Bucci 41c, 87036, Rende, Italy

     & Domenico Talia & Paolo Trunfio

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Musselman, A. (2018). Apache Mahout. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_144-1

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  • DOI: https://doi.org/10.1007/978-3-319-63962-8_144-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63962-8

  • Online ISBN: 978-3-319-63962-8

  • eBook Packages: Springer Reference MathematicsReference Module Computer Science and Engineering

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