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 ...
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 ...
On se propose de réaliser un programme MapReduce mettant en oeuvre le patron de Filtrage. Comme exemple pour ce patron de conception nous allons compter le nombre de posts avec une seule phrase ou ...
# This template is based on the framework supplied for a similar challenge, in a Coursera Data Science course: https://www.coursera.org/course/datasci ...
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 ...
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