Mahout in Action

By Sean Owen, Robin Anil, Ted Dunning, Ellen Friedman. 2011

451 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ec01eea9da194367ee762651922256e1e130f948

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Citations in the corpus

Machine Learning Strategies for Time Series Forecasting (2012, background): “Future research should be concerned with the extension of these techniques to some recent directions in business intelligence, like the parallel mining of huge amount of data (big data) [41] and the application to spatiotemporal tasks [30].”
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce (2018, methodology): “Mahout-RF [23] approximate local 1-step unguided”
Book Reviews: Data-Intensive Text Processing with MapReduce by Jimmy Lin and Chris Dyer (2010, background): “The Apache Mahout project is an open-source implementation of these and other learning algorithms,17 and it is also the subject of a forthcoming book [116].”
Online Machine Learning in Big Data Streams (2018, methodology): “d scikit-learn, fall into this quadrant. Distributed batch machine learning systems [78] typically implement algorithms by using the Map-Reduce principle [68]. Perhaps the best-known system is Mahout [180] built on top of Hadoop [227], but a very rich variety of solutions exists in this ﬁeld. GraphL”
On the use of MapReduce for imbalanced big data using Random Forest (2014, background): “Mahout [3,43] is a machine learning library that runs on top of a Hadoop system.”
Social big data: Recent achievements and new challenges (2015, methodology): “For example, the intersection between big data and ata analysis shows some machine learning frameworks that have een designed on top of big data technologies (Mahoot [21], MLBase”
The rise of "big data" on cloud computing: Review and open research issues (2015, background): “[77] Hive Hive offers a warehouse structure in HDFS [78] Hbase Scalable distributed database that supports structured data storage for large tables [79] Madout TM Mahout is a machine-learning and data-mining library that has four main groups: collective filtering, categorization, clustering, and…”
Big Data in the construction industry: A review of present status, opportunities, and future trends (2016, background): “Apache Mahout [167] Mahout is an open-source machine learning framework”