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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… 
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Apache FlinkApache HadoopApache SparkCluster analysis

Papers overview

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Review
2018
Review
2018
Review of social media analytics process and Big Data pipeline
Social media analytics is a research axis focused on extracting useful insights from social media data, with the aim of helping… 
2017
2017
Introducing Apache Mahout Scalable , commercial-friendly machine learning for building intelligent applications
Once the exclusive domain of academics and corporations with large research budgets, intelligent applications that learn from… 
2017
2017
Text classification on mahout with Naïve-Bayes machine learning algorithm
In daily life, we use the internet for many purposes. The Internet makes easier our life and it has led to the providing to occur… 
2016
2016
Cloud Based K-Means Clustering Running as a MapReduce Job for Big Data Healthcare Analytics Using Apache Mahout
Increase in data volume and need for analytics has led towards innovation of big data. To speed up the query responses models… 
Review
2015
Review
2015
International Workshop on Big Data and Data Mining Challenges on IoT and Pervasive Systems ( BigD 2 M 2015 ) An Outlier Detect Algorithm using Big Data Processing and Internet of Things Architecture
Data management in the Internet of Things is a crucial aspect. Considering a world of interconnected objects which constantly… 
2014
2014
Accelerate K-means Algorithm by Using GPU in the Hadoop Framework
Cluster analysis, such as k-means algorithm, plays a critical role in data mining area, but now it is facing the computational… 
2013
2013
A Cloud Computing Framework with Machine Learning Algorithms for Industrial Applications
In this paper, a novel cloud computing framework is presented with machine learning (ML) algorithms for aerospace applications… 
2013
2013
Performance Analysis of Various Recommendation Algorithms Using Apache Hadoop and Mahout
- Recommendations are becoming personnel assistance to customers to find out the best item out of most used ones or the best item… 
2013
2013
SaC‐FRAPP: a scalable and cost‐effective framework for privacy preservation over big data on cloud
Big data and cloud computing are two disruptive trends nowadays, provisioning numerous opportunities to the current information… 
2012
2012
RPig: A scalable framework for machine learning and advanced statistical functionalities
In many domains such as Telecom various scenarios necessitate the processing of large amounts of data using statistical and… 
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