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Apache Mahout

Apache Mahout is a project of the Apache Software Foundation to produce free implementations of distributed or otherwise scalable machine learning… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Once the exclusive domain of academics and corporations with large research budgets, intelligent applications that learn from… Expand
2016
2016
Movie recommendation systems are important tools that suggest films with respect to users’ choices through item-based… Expand
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2015
2015
Abstract Recommendation systems use knowledge discovery and statistical methods for recommending items to users. In any… Expand
Review
2015
Review
2015
With an ever-increasing amount of options, the task of selecting machine learning tools for big data can be difficult. The… Expand
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Highly Cited
2012
Highly Cited
2012
Latent Dirichlet Allocation (LDA) is a popular topic modeling technique for exploring document collections. Because of the… Expand
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2012
2012
In many domains such as Telecom various scenarios necessitate the processing of large amounts of data using statistical and… Expand
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Review
2012
Review
2012
Apache Mahout [1] is an Apache-licensed, open source library for scalable machine learning. It is well known for algorithm… Expand
Highly Cited
2011
Highly Cited
2011
SummaryMahout in Action is a hands-on introduction to machine learning with Apache Mahout. Following real-world examples, the… Expand
2011
2011
Working with large data sets is increasingly common in research and industry. There are some distributed data analytics solutions… Expand
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Highly Cited
2011
Highly Cited
2011
Datacenters need high-bandwidth interconnection fabrics. Several researchers have proposed highly-redundant topologies with… Expand
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