With the explosion of Hadoop and big data usage, many people are currently looking for approaches to convert their existing implementations into MapReduce. Unfortunately, with the notable exception of ...

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To help illustrate the MapReduce programming model, consider the problem of counting the number of occurrences of each word in a large collection of documents. The user would write code like the ...

Abstract: The MapReduce paradigm has become ubiquitous within Big Data Analytics. Within this field, Social Networks exist as an important area of applications as it relies on the large scale analysis ...

There was an error while loading. Please reload this page. This is a simple python mapreduce program aiming to find n-K top 100 frequent patterns. I'm currently a ...

Abstract: There is a growing need for pattern analysis algorithms on datasets to extract and analyses information. As datasets grow in size for applications such as topic modeling, recommender systems ...

Pattern mining is one of the most important tasks to extract meaningful and useful information from raw data. This task aims to extract item-sets that represent any type of homogeneity and regularity ...