ABSTRACT: This study investigates the preferences and perceptions of university students in China towards Artificial Intelligence-enhanced English as a Foreign Language (EFL) learning tools. As the ...

In this project we will use Hadoop MapReduce to implement a very basic “Sentiment Analysis” using the review text in the Yelp Academic Dataset as training data.

**GUEST OPINION:** One of the most popular trends in learning Hadoop is to process big data. Here's why Java developers should learn Hadoop. Java developers are known for developing robust and ...

Some simple, kinda introductory projects based on Apache Hadoop to be used as guides in order to make the MapReduce model look less weird or boring. In this task, we had to calculate the average ...

Abstract: The goal of this work is to present a software package which is able to process binary climate data through spawning Map-Reduce tasks while introducing minimum computational overhead and ...

Hadoop introduced a new way to simplify the analysis of large data sets, and in a very short time reshaped the big data market. In fact, today Hadoop is often synonymous with the term big data. Since ...

Abstract: MapReduce is one of the most popular programming model for big data analysis in Distributed and Parallel Computing Environment. It is used for implementing parallel applications. With the ...

The norm for data analytics is now to run them on commodity clusters with MapReduce-like abstractions. One only needs to read the popular blogs to see the evidence of this. We believe that we could ...