Big Data Visualization of Association Rules and Frequent Patterns

Author:

Leung Carson K.1ORCID

Affiliation:

1. University of Manitoba, Canada

Abstract

Big data and machine learning are driving Industry 4.0. In the current era of big data, numerous rich data sources are generating huge volumes of a wide variety of valuable data at a high velocity. Embedded in these big data are implicit, previously unknown, and potentially useful information and knowledge. This calls for data science, which makes good use of big data mining and analytics, machine learning, visualization, and related techniques to discover and visualize hidden gems. This may maximize the citizens' wealth and/or promote all society's health. As an important big data mining and analytics task, frequent pattern mining aims to discover interesting knowledge in the forms of frequently occurring sets of merchandise items or events. To enable users to get better understanding of the discovered patterns in a comprehensive manner, several data visualization and visual analytics tools have been proposed. This encyclopedia article focuses on visualization of big data, as well as association rules and frequent patterns discovered from these big data.

Publisher

IGI Global

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